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20151028-3 选题 Bossie Awards 2015 系列
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Bossie Awards 2015: The best open source application development tools
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InfoWorld's top picks among platforms, frameworks, databases, and all the other tools that programmers use
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### The best open source development tools ###
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There must be a better way, right? The developers are the ones who find it. This year's winning projects in the application development category include client-side frameworks, server-side frameworks, mobile frameworks, databases, languages, libraries, editors, and yeah, Docker. These are our top picks among all of the tools that make it faster and easier to build better applications.
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### Docker ###
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The darling of container fans almost everywhere, [Docker][2] provides a low-overhead way to isolate an application or service’s environment, which serves its stated goal of being an open platform for building, shipping, and running distributed applications. Docker has been widely supported, even among those seeking to replace the Docker container format with an alternative, more secure runtime and format, specifically Rkt and AppC. Heck, Microsoft Visual Studio now supports deploying into a Docker container too.
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Docker’s biggest impact has been on virtual machine environments. Since Docker containers run inside the operating system, many more Docker containers than virtual machines can run in a given amount of RAM. This is important because RAM is usually the scarcest and most expensive resource in a virtualized environment.
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There are hundreds of thousands of runnable public images on Docker Hub, of which a few hundred are official, and the rest are from the community. You describe Docker images with a Dockerfile and build images locally from the Docker command line. You can add both public and private image repositories to Docker Hub.
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-- Martin Heller
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### Node.js and io.js ###
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[Node.js][2] -- and its recently reunited fork [io.js][3] -- is a platform built on [Google Chrome's V8 JavaScript runtime][4] for building fast, scalable, network applications. Node uses an event-driven, nonblocking I/O model without threads. In general, Node tends to take less memory and CPU resources than other runtime engines, such as Java and the .Net Framework. For example, a typical Node.js Web server can run well in a 512MB instance on Cloud Foundry or a 512MB Docker container.
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The Node repository on GitHub has more than 35,000 stars and more than 8,000 forks. The project, sponsored primarily by Joyent, has more than 600 contributors. Some of the more famous Node applications are 37Signals, [Ancestry.com][5], Chomp, the Wall Street Journal online, FeedHenry, [GE.com][6], Mockingbird, [Pearson.com][7], Shutterstock, and Uber. The popular IoT back-end Node-RED is built on Node, as are many client apps, such as Brackets and Nuclide.
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-- Martin Heller
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### AngularJS ###
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[AngularJS][8] (or simply Angular, among friends) is a Model-View-Whatever (MVW) JavaScript AJAX framework that extends HTML with markup for dynamic views and data binding. Angular is especially good for developing single-page Web applications and linking HTML forms to models and JavaScript controllers.
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The weird sounding Model-View-Whatever pattern is an attempt to include the Model-View-Controller, Model-View-ViewModel, and Model-View-Presenter patterns under one moniker. The differences among these three closely related patterns are the sorts of topics that programmers love to argue about fiercely; the Angular developers decided to opt out of the discussion.
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Basically, Angular automatically synchronizes data from your UI (view) with your JavaScript objects (model) through two-way data binding. To help you structure your application better and make it easy to test, AngularJS teaches the browser how to do dependency injection and inversion of control.
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Angular was created by Google and open-sourced under the MIT license; there are currently more than 1,200 contributors to the project on GitHub, and the repository has more than 40,000 stars and 18,000 forks. The Angular site lists [210 “neat things” built with Angular][9].
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-- Martin Heller
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### React ###
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[React][10] is a JavaScript library for building a UI or view, typically for single-page applications. Note that React does not implement anything having to do with a model or controller. React pages can render on the server or the client; rendering on the server (with Node.js) is typically much faster. People often combine React with AngularJS to create complete applications.
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React combines JavaScript and HTML in a single file, optionally a JSX component. React fans like the way JSX components combine views and their related functionality in one file, though that flies in the face of the last decade of Web development trends, which were all about separating the markup and the code. React fans also claim that you can’t understand it until you’ve tried it. Perhaps you should; the React repository on GitHub has 26,000 stars.
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[React Native][11] implements React with native iOS controls; the React Native command line uses Node and Xcode. [ReactJS.Net][12] integrates React with [ASP.Net][13] and C#. React is available under a BSD license with a patent license grant from Facebook.
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-- Martin Heller
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### Atom ###
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[Atom][14] is an open source, hackable desktop editor from GitHub, based on Web technologies. It’s a full-featured tool with a fuzzy finder; fast projectwide search and replace; multiple cursors and selections; multiple panes, snippets, code folding; and the ability to import TextMate grammars and themes. Out of the box, Atom displayed proper syntax highlighting for every programming language on which I tried it, except for F# and C#; I fixed that easily by loading those packages from within Atom. Not surprising, Atom has tight integration with GitHub.
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The skeleton of Atom has been separated from the guts and called the Electron shell, providing an open source way to build cross-platform desktop apps with Web technologies. Visual Studio Code is built on the Electron shell, as are a number of proprietary and open source apps, including Slack and Kitematic. Facebook Nuclide adds significant functionality to Atom, including remote development and support for Flow, Hack, and Mercurial.
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On the downside, updating Atom packages can become painful, especially if you have many of them installed. The Nuclide packages seem to be the worst offenders -- they not only take a long time to update, they run CPU-intensive Node processes to do so.
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-- Martin Heller
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### Brackets ###
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[Brackets][15] is a lightweight editor for Web design that Adobe developed and open-sourced, drawing heavily on other open source projects. The idea is to build better tooling for JavaScript, HTML, CSS, and related open Web technologies. Brackets itself is written in JavaScript, HTML, and CSS, and the developers use Brackets to build Brackets. The editor portion is based on another open source project, CodeMirror, and the Brackets native shell is based on Google’s Chromium Embedded Framework.
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Brackets features a clean UI, with the ability to open a quick inline editor that displays all of the related CSS for some HTML, or all of the related JavaScript for some scripting, and a live preview for Web pages that you are editing. New in Brackets 1.4 is instant search in files, easier preferences editing, the ability to enable and disable extensions individually, improved text rendering on Macs, and Greek and Cyrillic character support. Last November, Adobe started shipping a preview version of Extract for Brackets, which can pull out design information from Photoshop files, as part of the default download for Brackets.
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-- Martin Heller
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### TypeScript ###
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[TypeScript][16] is a portable, duck-typed superset of JavaScript that compiles to plain JavaScript. The goal of the project is to make JavaScript usable for large applications. In pursuit of that goal, TypeScript adds optional types, classes, and modules to JavaScript, and it supports tools for large-scale JavaScript applications. Typing gets rid of some of the nonsensical and potentially buggy default behavior in JavaScript, for example:
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> 1 + "1"
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'11'
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“Duck” typing means that the type checking focuses on the shape of the data values; TypeScript describes basic types, interfaces, and classes. While the current version of JavaScript does not support traditional, class-based, object-oriented programming, the ECMAScript 6 specification does. TypeScript compiles ES6 classes into plain, compatible JavaScript, with prototype-based objects, unless you enable ES6 output using the `--target` compiler option.
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Visual Studio includes TypeScript in the box, starting with Visual Studio 2013 Update 2. You can also edit TypeScript in Visual Studio Code, WebStorm, Atom, Sublime Text, and Eclipse.
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When using an external JavaScript library, or new host API, you'll need to use a declaration file (.d.ts) to describe the shape of the library. You can often find declaration files in the [DefinitelyTyped][17] repository, either by browsing, using the [TSD definition manager][18], or using NuGet.
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TypeScript’s GitHub repository has more than 6,000 stars.
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-- Martin Heller
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### Swagger ###
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[Swagger][19] is a language-agnostic interface to RESTful APIs, with tooling that gives you interactive documentation, client SDK generation, and discoverability. It’s one of several recent attempts to codify the description of RESTful APIs, in the spirit of WSDL for XML Web Services (2000) and CORBA for distributed object interfaces (1991).
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The tooling makes Swagger especially interesting. [Swagger-UI][20] automatically generates beautiful documentation and a live API sandbox from a Swagger-compliant API. The [Swagger codegen][21] project allows generation of client libraries automatically from a Swagger-compliant server.
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[Swagger Editor][22] lets you edit Swagger API specifications in YAML inside your browser and preview documentations in real time. Valid Swagger JSON descriptions can then be generated and used with the full Swagger tooling.
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The [Swagger JS][23] library is a fast way to enable a JavaScript client to communicate with a Swagger-enabled server. Additional clients exist for Clojure, Go, Java, .Net, Node.js, Perl, PHP, Python, Ruby, and Scala.
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The [Amazon API Gateway][24] is a managed service for API management at scale. It can import Swagger specifications using an open source [Swagger Importer][25] tool.
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Swagger and friends use the Apache 2.0 license.
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-- Martin Heller
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### Polymer ###
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The [Polymer][26] library is a lightweight, “sugaring” layer on top of the Web components APIs to help in building your own Web components. It adds several features for greater ease in building complex elements, such as creating custom element registration, adding markup to your element, configuring properties on your element, setting the properties with attributes, data binding with mustache syntax, and internal styling of elements.
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Polymer also includes libraries of prebuilt elements. The Iron library includes elements for working with layout, user input, selection, and scaffolding apps. The Paper elements implement Google's Material Design. The Gold library includes elements for credit card input fields for e-commerce, the Neon elements implement animations, the Platinum library implements push messages and offline caching, and the Google Web Components library is exactly what it says; it includes wrappers for YouTube, Firebase, Google Docs, Hangouts, Google Maps, and Google Charts.
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Polymer Molecules are elements that wrap other JavaScript libraries. The only Molecule currently implemented is for marked, a Markdown library. The Polymer repository on GitHub currently has 12,000 stars. The software is distributed under a BSD-style license.
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-- Martin Heller
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### Ionic ###
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The [Ionic][27] framework is a front-end SDK for building hybrid mobile apps, using Angular.js and Cordova, PhoneGap, or Trigger.io. Ionic was designed to be similar in spirit to the Android and iOS SDKs, and to do a minimum of DOM manipulation and use hardware-accelerated transitions to keep the rendering speed high. Ionic is focused mainly on the look and feel and UI interaction of your app.
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In addition to the framework, Ionic encompasses an ecosystem of mobile development tools and resources. These include Chrome-based tools, Angular extensions for Cordova capabilities, back-end services, a development server, and a shell View App to enable testers to use your Ionic code on their devices without the need for you to distribute beta apps through the App Store or Google Play.
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Appery.io integrated Ionic into its low-code builder in July 2015. Ionic’s GitHub repository has more than 18,000 stars and more than 3,000 forks. Ionic is distributed under an MIT license and currently runs in UIWebView for iOS 7 and later, and in Android 4.1 and up.
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-- Martin Heller
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### Cordova ###
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[Apache Cordova][28] is the open source project spun off when Adobe acquired PhoneGap from Nitobi. Cordova is a set of device APIs, plus some tooling, that allows a mobile app developer to access native device functionality like the camera and accelerometer from JavaScript. When combined with a UI framework like Angular, it allows a smartphone app to be developed with only HTML, CSS, and JavaScript. By using Cordova plug-ins for multiple devices, you can generate hybrid apps that share a large portion of their code but also have access to a wide range of platform capabilities. The HTML5 markup and code runs in a WebView hosted by the Cordova shell.
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Cordova is one of the cross-platform mobile app options supported by Visual Studio 2015. Several companies offer online builders for Cordova apps, similar to the Adobe PhoneGap Build service. Online builders save you from having to install and maintain most of the device SDKs on which Cordova relies.
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-- Martin Heller
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### Famous Engine ###
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The high-performance Famo.us JavaScript framework introduced last year has become the [Famous Engine][29] and [Famous Framework][30]. The Famous Engine runs in a mixed mode, with the DOM and WebGL under a single coordinate system. As before, Famous structures applications in a scene graph hierarchy, but now it produces very little garbage (reducing the garbage collector overhead) and sustains 60FPS animations.
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The Famous Physics engine has been refactored to its own, fine-grained module so that you can load only the features you need. Other improvements since last year include streamlined eventing, improved sizing, decoupling the scene graph from the rendering pipeline by using a draw command buffer, and switching to a fully open MIT license.
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The new Famous Framework is an alpha-stage developer preview built on the Famous Engine; its goal is creating reusable, composable, and interchangeable UI widgets and applications. Eventually, Famous hopes to replace the jQuery UI widgets with Famous Framework widgets, but while it's promising, the Famous Framework is nowhere near production-ready.
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-- Martin Heller
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### MongoDB ###
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[MongoDB][31] is no stranger to the Bossies or to the ever-growing and ever-competitive NoSQL market. If you still aren't familiar with this very popular technology, here's a brief overview: MongoDB is a cross-platform document-oriented database, favoring JSON-like documents with dynamic schemas that make data integration easier and faster.
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MongoDB has attractive features, including but not limited to ad hoc queries, flexible indexing, replication, high availability, automatic sharding, load balancing, and aggregation.
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The big, bold move with [version 3.0 this year][32] was the new WiredTiger storage engine. We can now have document-level locking. This makes “normal” applications a whole lot more scalable and makes MongoDB available to more use cases.
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MongoDB has a growing open source ecosystem with such offerings as the [TokuMX engine][33], from the famous MySQL bad boys Percona. The long list of MongoDB customers includes heavy hitters such as Craigslist, eBay, Facebook, Foursquare, Viacom, and the New York Times.
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-- Andrew Oliver
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### Couchbase ###
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[Couchbase][34] is another distributed, document-oriented database that has been making waves in the NoSQL world for quite some time now. Couchbase and MongoDB often compete, but they each have their sweet spots. Couchbase tends to outperform MongoDB when doing more in memory is possible.
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Additionally, Couchbase’s mobile features allow you to disconnect and ship a database in compact format. This allows you to scale down as well as up. This is useful not just for mobile devices but also for specialized applications, like shipping medical records across radio waves in Africa.
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This year Couchbase added N1QL, a SQL-based query language that did away with Couchbase’s biggest obstacle, requiring static views. The new release also introduced multidimensional scaling. This allows individual scaling of services such as querying, indexing, and data storage to improve performance, instead of adding an entire, duplicate node.
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-- Andrew C. Oliver
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### Cassandra ###
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[Cassandra][35] is the other white meat of column family databases. HBase might be included with your favorite Hadoop distribution, but Cassandra is the one people deliberately deploy for specialized applications. There are good reasons for this.
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Cassandra was designed for high workloads of both writes and reads where millisecond consistency isn't as important as throughput. HBase is optimized for reads and greater write consistency. To a large degree, Cassandra tends to be used for operational systems and HBase more for data warehouse and batch-system-type use cases.
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While Cassandra has not received as much attention as other NoSQL databases and slipped into a quiet period a couple years back, it is widely used and deployed, and it's a great fit for time series, product catalog, recommendations, and other applications. If you want to keep a cluster up “no matter what” with multiple masters and multiple data centers, and you need to scale with lots of reads and lots of writes, Cassandra might just be your Huckleberry.
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-- Andrew C. Oliver
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### OrientDB ###
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[OrientDB][36] is an interesting hybrid in the NoSQL world, combining features from a document database, where individual documents can have multiple fields without necessarily defining a schema, and a graph database, which consists of a set of nodes and edges. At a basic level, OrientDB considers the document as a vertex, and relationships between fields as graph edges. Because the relationships between elements are part of the record, no costly joins are required when querying data.
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Like most databases today, OrientDB offers linear scalability via a distributed architecture. Adding capacity is a matter of simply adding more nodes to the cluster. Queries are written in a variant of SQL that is extended to support graph concepts. It's not exactly SQL, but data analysts shouldn't have too much trouble adapting. Language bindings are available for most commonly used languages, such as R, Scala, .Net, and C, and those integrating OrientDB into their applications will find an active user community to get help from.
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-- Steven Nunez
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### RethinkDB ###
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[RethinkDB][37] is a scalable, real-time JSON database with the ability to continuously push updated query results to applications that subscribe to changes. There are official RethinkDB drivers for Ruby, Python, and JavaScript/Node.js, and community-supported drivers for more than a dozen other languages, including C#, Go, and PHP.
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It’s temping to confuse RethinkDB with real-time sync APIs, such as Firebase and PubNub. RethinkDB can be run as a cloud service like Firebase and PubNub, but you can also install it on your own hardware or Docker containers. RethinkDB does more than synchronize: You can run arbitrary RethinkDB queries, including table joins, subqueries, geospatial queries, and aggregation. Finally, RethinkDB is designed to be accessed from an application server, not a browser.
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Where MongoDB requires you to poll the database to see changes, RethinkDB lets you subscribe to a stream of changes to a query result. You can shard and scale RethinkDB easily, unlike MongoDB. Also unlike relational databases, RethinkDB does not give you full ACID support or strong schema enforcement, although it can perform joins.
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The RethinkDB repository has 10,000 stars on GitHub, a remarkably high number for a database. It is licensed with the Affero GPL 3.0; the drivers are licensed with Apache 2.0.
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-- Martin Heller
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### Rust ###
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[Rust][38] is a syntactically C-like systems programming language from Mozilla Research that guarantees memory safety and offers painless concurrency (that is, no data races). It does not have a garbage collector and has minimal runtime overhead. Rust is strongly typed with type inference. This is all promising.
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Rust was designed for performance. It doesn’t yet demonstrate great performance, however, so now the mantra seems to be that it runs as fast as C++ code that implements all the safety checks built into Rust. I’m not sure whether I believe that, as in many cases the strictest safety checks for C/C++ code are done by static and dynamic analysis and testing, which don’t add any runtime overhead. Perhaps Rust performance will come with time.
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So far, the only tools for Rust are the Cargo package manager and the rustdoc documentation generator, plus a couple of simple Rust plug-ins for programming editors. As far as we have heard, there is no shipping software that was actually built with Rust. Now that Rust has reached the 1.0 milestone, we might expect that to change.
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Rust is distributed with a dual Apache 2.0 and MIT license. With 13,000 stars on its GitHub repository, Rust is certainly attracting attention, but when and how it will deliver real benefits remains to be seen.
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-- Martin Heller
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### OpenCV ###
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[OpenCV][39] (Open Source Computer Vision Library) is a computer vision and machine learning library that contains about 500 algorithms, such as face detection, moving object tracking, image stitching, red-eye removal, machine learning, and eye movement tracking. It runs on Windows, Mac OS X, Linux, Android, and iOS.
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OpenCV has official C++, C, Python, Java, and MATLAB interfaces, and wrappers in other languages such as C#, Perl, and Ruby. CUDA and OpenCL interfaces are under active development. OpenCV was originally (1999) an Intel Research project in Russia; from there it moved to the robotics research lab Willow Garage (2008) and finally to [OpenCV.org][39] (2012) with a core team at Itseez, current source on GitHub, and stable snapshots on SourceForge.
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Users of OpenCV include Google, Yahoo, Microsoft, Intel, IBM, Sony, Honda, and Toyota. There are currently more than 6,000 stars and 5,000 forks on the GitHub repository. The project uses a BSD license.
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-- Martin Heller
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### LLVM ###
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The [LLVM Project][40] is a collection of modular and reusable compiler and tool chain technologies, which originated at the University of Illinois. LLVM has grown to include a number of subprojects, several of which are interesting in their own right. LLVM is distributed with Debian, Ubuntu, and Apple Xcode, among others, and it’s used in commercial products from the likes of Adobe (including After Effects), Apple (including Objective-C and Swift), Cray, Intel, NVIDIA, and Siemens. A few of the open source projects that depend on LLVM are PyPy, Mono, Rubinius, Pure, Emscripten, Rust, and Julia. Microsoft has recently contributed LLILC, a new LLVM-based compiler for .Net, to the .Net Foundation.
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The main LLVM subprojects are the core libraries, which provide optimization and code generation; Clang, a C/C++/Objective-C compiler that’s about three times faster than GCC; LLDB, a much faster debugger than GDB; libc++, an implementation of the C++ 11 Standard Library; and OpenMP, for parallel programming.
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-- Martin Heller
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### Read about more open source winners ###
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InfoWorld's Best of Open Source Awards for 2014 celebrate more than 100 open source projects, from the bottom of the stack to the top. Follow these links to more open source winners:
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[Bossie Awards 2015: The best open source applications][41]
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[Bossie Awards 2015: The best open source application development tools][42]
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[Bossie Awards 2015: The best open source big data tools][43]
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[Bossie Awards 2015: The best open source data center and cloud software][44]
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[Bossie Awards 2015: The best open source desktop and mobile software][45]
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[Bossie Awards 2015: The best open source networking and security software][46]
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--------------------------------------------------------------------------------
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via: http://www.infoworld.com/article/2982920/open-source-tools/bossie-awards-2015-the-best-open-source-application-development-tools.html
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作者：[InfoWorld staff][a]
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译者：[译者ID](https://github.com/译者ID)
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校对：[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
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[a]:http://www.infoworld.com/author/InfoWorld-staff/
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[1]:https://www.docker.com/
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[2]:https://nodejs.org/en/
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[3]:https://iojs.org/en/
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[4]:https://developers.google.com/v8/?hl=en
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[5]:http://www.ancestry.com/
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[6]:http://www.ge.com/
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[7]:https://www.pearson.com/
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[8]:https://angularjs.org/
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[9]:https://builtwith.angularjs.org/
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[10]:https://facebook.github.io/react/
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[11]:https://facebook.github.io/react-native/
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[12]:http://reactjs.net/
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[13]:http://asp.net/
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[14]:https://atom.io/
|
||||
[15]:http://brackets.io/
|
||||
[16]:http://www.typescriptlang.org/
|
||||
[17]:http://definitelytyped.org/
|
||||
[18]:http://definitelytyped.org/tsd/
|
||||
[19]:http://swagger.io/
|
||||
[20]:https://github.com/swagger-api/swagger-ui
|
||||
[21]:https://github.com/swagger-api/swagger-codegen
|
||||
[22]:https://github.com/swagger-api/swagger-editor
|
||||
[23]:https://github.com/swagger-api/swagger-js
|
||||
[24]:http://aws.amazon.com/cn/api-gateway/
|
||||
[25]:https://github.com/awslabs/aws-apigateway-importer
|
||||
[26]:https://www.polymer-project.org/
|
||||
[27]:http://ionicframework.com/
|
||||
[28]:https://cordova.apache.org/
|
||||
[29]:http://famous.org/
|
||||
[30]:http://famous.org/framework/
|
||||
[31]:https://www.mongodb.org/
|
||||
[32]:http://www.infoworld.com/article/2878738/nosql/first-look-mongodb-30-for-mature-audiences.html
|
||||
[33]:http://www.infoworld.com/article/2929772/nosql/mongodb-crossroads-growth-or-openness.html
|
||||
[34]:http://www.couchbase.com/nosql-databases/couchbase-server
|
||||
[35]:https://cassandra.apache.org/
|
||||
[36]:http://orientdb.com/
|
||||
[37]:http://rethinkdb.com/
|
||||
[38]:https://www.rust-lang.org/
|
||||
[39]:http://opencv.org/
|
||||
[40]:http://llvm.org/
|
||||
[41]:http://www.infoworld.com/article/2982622/bossie-awards-2015-the-best-open-source-applications.html
|
||||
[42]:http://www.infoworld.com/article/2982920/bossie-awards-2015-the-best-open-source-application-development-tools.html
|
||||
[43]:http://www.infoworld.com/article/2982429/bossie-awards-2015-the-best-open-source-big-data-tools.html
|
||||
[44]:http://www.infoworld.com/article/2982923/bossie-awards-2015-the-best-open-source-data-center-and-cloud-software.html
|
||||
[45]:http://www.infoworld.com/article/2982630/bossie-awards-2015-the-best-open-source-desktop-and-mobile-software.html
|
||||
[46]:http://www.infoworld.com/article/2982962/bossie-awards-2015-the-best-open-source-networking-and-security-software.html
|
||||
@ -0,0 +1,238 @@
|
||||
Bossie Awards 2015: The best open source applications
|
||||
================================================================================
|
||||
InfoWorld's top picks in open source business applications, enterprise integration, and middleware
|
||||
|
||||
|
||||
|
||||
### The best open source applications ###
|
||||
|
||||
Applications -- ERP, CRM, HRM, CMS, BPM -- are not only fertile ground for three-letter acronyms, they're the engines behind every modern business. Our top picks in the category include back- and front-office solutions, marketing automation, lightweight middleware, heavyweight middleware, and other tools for moving data around, mixing it together, and magically transforming it into smarter business decisions.
|
||||
|
||||
|
||||
|
||||
### xTuple ###
|
||||
|
||||
Small and midsize companies with light manufacturing or distribution needs have a friend in [xTuple][1]. This modular ERP/CRM combo bundles operations and financial control, product and inventory management, and CRM and sales support. Its relatively simple install lets you deploy all of the modules or only what you need today -- helping trim support costs without sacrificing customization later.
|
||||
|
||||
This summer’s release brought usability improvements to the UI and a generous number of bug fixes. Recent updates also yielded barcode scanning and label printing for mobile warehouse workers, an enhanced workflow module (built with Plv8, a wrapper around Google’s V8 JavaScript engine that lets you write stored procedures for PostgreSQL in JavaScript), and quality management tools that are sure to get mileage on shop floors.
|
||||
|
||||
The xTuple codebase is JavaScript from stem to stern. The server components can all be installed locally, in xTuple’s cloud, or deployed as an appliance. A mobile Web client, and mobile CRM features, augment a good native desktop client.
|
||||
|
||||
-- James R. Borck
|
||||
|
||||
|
||||
|
||||
### Odoo ###
|
||||
|
||||
[Odoo][2] used to be known as OpenERP. Last year the company raised private capital and broadened its scope. Today Odoo is a one-stop shop for back office and customer-facing applications -- replete with content management, business intelligence, and e-commerce modules.
|
||||
|
||||
Odoo 8 fronts accounting, invoicing, project management, resource planning, and customer relationship management tools with a flexible Web interface that can be tailored to your company’s workflow. Add-on modules for warehouse management and HR, as well as for live chat and analytics, round out the solution.
|
||||
|
||||
This year saw Odoo focused primarily on usability updates. A recently released sales planner helps sales groups track KPIs, and a new tips feature lends in-context help. Odoo 9 is right around the corner with alpha builds showing customer portals, Web form creation tools, mobile and VoIP services, and integration hooks to eBay and Amazon.
|
||||
|
||||
Available for Windows and Linux, and as a SaaS offering, Odoo gives small and midsized companies an accessible set of tools to manage virtually every aspect of their business.
|
||||
|
||||
-- James R. Borck
|
||||
|
||||
|
||||
|
||||
### iDempiere ###
|
||||
|
||||
Small and midsize companies have great choices in Odoo and xTuple. Larger manufacturing and distribution companies will need something more. For them, there’s [iDempiere][3] -- a well maintained offshoot of ADempiere with OSGi modularity.
|
||||
|
||||
iDempiere implements a fully loaded ERP, supply chain, and CRM suite right out of the box. Built with Java, iDempiere supports both PostgreSQL and Oracle Database, and it can be customized extensively through modules built to the OSGi specification. iDempiere is perfectly suited to managing complex business scenarios involving multiple partners, requiring dynamic reporting, or employing point-of-sale and warehouse services.
|
||||
|
||||
Being enterprise-ready comes with a price. iDempiere’s feature-rich tools and complexity impose a steep learning curve and require a commitment to integration support. Of course, those costs are offset by savings from the software’s free GPL2 licensing. iDempiere’s easy install script, small resource footprint, and clean interface also help alleviate some of the startup pains. There’s even a virtual appliance available on Sourceforge to get you started.
|
||||
|
||||
-- James R. Borck
|
||||
|
||||
|
||||
|
||||
### SuiteCRM ###
|
||||
|
||||
SugarCRM held the sweet spot in open source CRM since, well, forever. Then last year Sugar announced it would no longer contribute to the open source Community Edition. Into the ensuing vacuum rushed [SuiteCRM][4] – a fork of the final Sugar code.
|
||||
|
||||
SuiteCRM 7.2 creates an experience on a par with SugarCRM Professional’s marketing, sales, and service tools. With add-on modules for workflow, reporting, and security, as well as new innovations like Lucene-driven search, taps for social media, and a beta reveal of new desktop notifications, SuiteCRM is on solid footing.
|
||||
|
||||
The Advanced Open Sales module provides a familiar migration path from Sugar, while commercial support is available from the likes of [SalesAgility][5], the company that forked SuiteCRM in the first place. In little more than a year, SuiteCRM rescued the code, rallied an inspired community, and emerged as a new leader in open source CRM. Who needs Sugar?
|
||||
|
||||
-- James R. Borck
|
||||
|
||||
|
||||
|
||||
### CiviCRM ###
|
||||
|
||||
We typically focus attention on CRM vis-à-vis small and midsize business requirements. But nonprofit and advocacy groups need to engage with their “customers” too. Enter [CiviCRM][6].
|
||||
|
||||
CiviCRM addresses the needs of nonprofits with tools for fundraising and donation processing, membership management, email tracking, and event planning. Granular access control and security bring role-based permissions to views, keeping paid staff and volunteers partitioned and productive. This year CiviCRM continued to develop with new features like simple A/B testing and monitoring for email campaigns.
|
||||
|
||||
CiviCRM deploys as a plug-in to your WordPress, Drupal, or Joomla content management system -- a dead-simple install if you already have one of these systems in place. If you don’t, CiviCRM is an excellent reason to deploy the CMS. It’s a niche-filling solution that allows nonprofits to start using smarter, tailored tools for managing constituencies, without steep hurdles and training costs.
|
||||
|
||||
-- James R. Borck
|
||||
|
||||
|
||||
|
||||
### Mautic ###
|
||||
|
||||
For marketers, the Internet -- Web, email, social, all of it -- is the stuff dreams are made on. [Mautic][7] allows you to create Web and email campaigns that track and nurture customer engagement, then roll all of the data into detailed reports to gain insight into customer needs and wants and how to meet them.
|
||||
|
||||
Open source options in marketing automation are few, but Mautic’s extensibility stands out even against closed solutions like IBM’s Silverpop. Mautic even integrates with popular third-party email marketing solutions (MailChimp, Constant Contact) and social media platforms (Facebook, Twitter, Google+, Instagram) with quick-connect widgets.
|
||||
|
||||
The developers of Mautic could stand to broaden the features for list segmentation and improve the navigability of their UI. Usability is also hindered by sparse documentation. But if you’re willing to rough it out long enough to learn your way, you’ll find a gem -- and possibly even gold -- in Mautic.
|
||||
|
||||
-- James R. Borck
|
||||
|
||||
|
||||
|
||||
### OrangeHRM ###
|
||||
|
||||
The commercial software market in the human resource management space is rather fragmented, with Talent, HR, and Workforce Management startups all vying for a slice of the pie. It’s little wonder the open source world hasn’t found much direction either, with the most ambitious HRM solutions often locked inside larger ERP distributions. [OrangeHRM][8] is a standout.
|
||||
|
||||
OrangeHRM tackles employee administration from recruitment and applicant tracking to performance reviews, with good audit trails throughout. An employee portal provides self-serve access to personal employment information, time cards, leave requests, and personnel documents, helping reduce demands on HR staff.
|
||||
|
||||
OrangeHRM doesn’t yet address niche aspects like talent management (social media, collaboration, knowledge banks), but it’s remarkably full-featured. Professional and Enterprise options offer more advanced functionality (in areas such as recruitment, training, on/off-boarding, document management, and mobile device access), while community modules are available for the likes of Active Directory/LDAP integration, advanced reporting, and even insurance benefit management.
|
||||
|
||||
-- James R. Borck
|
||||
|
||||
|
||||
|
||||
### LibreOffice ###
|
||||
|
||||
[LibreOffice][9] is the easy choice for best open source office productivity suite. Originally forked from OpenOffice, Libre has been moving at a faster clip than OpenOffice ever since, drawing more developers and producing more new features than its rival.
|
||||
|
||||
LibreOffice 5.0, released only last month, offers UX improvements that truly enhance usability (like visual previews to style changes in the sidebar), brings document editing to Android devices (previously a view-only prospect), and finally delivers on a 64-bit Windows codebase.
|
||||
|
||||
LibreOffice still lacks a built-in email client and a personal information manager, not to mention the real-time collaborative document editing available in Microsoft Office. But Libre can run off of a USB flash disk for portability, natively supports a greater number of graphic and file formats, and creates hybrid PDFs with embedded ODF files for full-on editing. Libre even imports Apple Pages documents, in addition to opening and saving all Microsoft Office formats.
|
||||
|
||||
LibreOffice has done a solid job of tightening its codebase and delivering enhancements at a regular clip. With a new cloud version under development, LibreOffice will soon be more liberating than ever.
|
||||
|
||||
-- James R. Borck
|
||||
|
||||
|
||||
|
||||
### Bonita BPM ###
|
||||
|
||||
Open source BPM has become a mature, cost-effective alternative to the top proprietary solutions. Having led the charge since 2009, Bonitasoft continues to raise the bar. The new [Bonita BPM 7][10] release impresses with innovative features that simplify code generation and shorten development cycles for BPM app creation.
|
||||
|
||||
Most important to the new version, though, is better abstraction of underlying core business logic from UI and data components, allowing UIs and processes to be developed independently. This new MVC approach reduces downtime for live upgrades (no more recompilation!) and eases application maintenance.
|
||||
|
||||
Bonita contains a winning set of connectors to a broad range of enterprise systems (ERP, CRM, databases) as well as to Web services. Complementing its process weaving tools, a new form designer (built on AngularJS/Bootstrap) goes a long way toward improving UI creation for the Web-centric and mobile workforce.
|
||||
|
||||
-- James R. Borck
|
||||
|
||||
|
||||
|
||||
### Camunda BPM ###
|
||||
|
||||
Many open source solutions, like Bonita BPM, offer solid, drop-in functionality. Dig into the code base, though, and you may find it’s not the cleanest to build upon. Enterprise Java developers who hang out under the hood should check out [Camunda BPM][11].
|
||||
|
||||
Forked from Alfresco Activiti (a creation of former Red Hat jBPM developers), Camunda BPM delivers a tight, Java-based BPMN 2.0 engine in support of human workflow activities, case management, and systems process automation that can be embedded in your Java apps or run as a container service in Tomcat. Camunda’s ecosystem offers an Eclipse plug-in for process modeling and the Cockpit dashboard brings real-time monitoring and management over running processes.
|
||||
|
||||
The Enterprise version adds WebSphere and WebLogic Server support. Additional incentives for the Enterprise upgrade include Saxon-driven XSLT templating (sidestepping the scripting engine) and add-ons to improve process management and exception handling.
|
||||
|
||||
Camunda is a solid BPM engine ready for build-out and one of the first open source process managers to introduce DMN (Decision Model and Notation) support, which helps to simplify complex rules-based modeling alongside BPMN. DMN support is currently at the alpha stage.
|
||||
|
||||
-- James R. Borck
|
||||
|
||||
|
||||
|
||||
### Talend Open Studio ###
|
||||
|
||||
No open source ETL or EAI solution comes close to [Talend Open Studio][12] in functionality, performance, or support of modern integration trends. This year Talend unleashed Open Studio 6, a new version with a streamlined UI and smarter tooling that brings it more in line with Talend’s cloud-based offering.
|
||||
|
||||
Using Open Studio you can visually design, test, and debug orchestrations that connect, transform, and synchronize data across a broad range of real-time applications and data resources. Talend’s wealth of connectors provides support for most any endpoint -- from flat files to Hadoop to Amazon S3. Packaged editions focus on specific scenarios such as big data integration, ESB, and data integrity monitoring.
|
||||
|
||||
New support for Java 8 brings a speed boost. The addition of support for MariaDB and for in-memory processing with MemSQL, as well as updates to the ESB engine, keep Talend in step with the community’s needs. Version 6 was a long time coming, but no less welcome for that. Talend Open Studio is still first in managing complex data integration -- in-house, in the cloud, or increasingly, a combination of the two.
|
||||
|
||||
-- James R. Borck
|
||||
|
||||
|
||||
|
||||
### Warewolf ESB ###
|
||||
|
||||
Complex integration patterns may demand the strengths of a Talend to get the job done. But for many lightweight microservices, the overhead of a full-fledged enterprise integration solution is extreme overkill.
|
||||
|
||||
[Warewolf ESB][13] combines a streamlined .Net-based process engine with visual development tools to provide for dead simple messaging and application payload routing in a native Windows environment. The Warewolf ESB is an “easy service bus,” not an enterprise service bus.
|
||||
|
||||
Drag-and-drop tooling in the design studio makes quick work of configuring connections and logic flows. Built-in wizardry handles Web services definitions and database calls, and it can even tap Windows DLLs and the command line directly. Using the visual debugger, you can inspect execution streams (if not yet actually step through them), then package everything for remote deployment.
|
||||
|
||||
Warewolf is still a .40.5 release and undergoing major code changes. It also lacks native connectors, easy transforms, and any means of scalability management. Be aware that the precompiled install demands collection of some usage statistics (I wish they would stop that). But Warewolf ESB is fast, free, and extensible. It’s a quirky, upstart project that offers definite benefits to Windows integration architects.
|
||||
|
||||
-- James R. Borck
|
||||
|
||||
|
||||
|
||||
### KNIME ###
|
||||
|
||||
[KNIME][14] takes a code-free approach to predictive analytics. Using a graphical workbench, you wire together workflows from an abundant library of processing nodes, which handle data access, transformation, analysis, and visualization. With KNIME, you can pull data from databases and big data platforms, run ETL transformations, perform data mining with R, and produce custom reports in the end.
|
||||
|
||||
The company was busy this year rolling out the KNIME 2.12 update. The new release introduces MongoDB support, XPath nodes with autoquery creation, and a new view controller (based on the D3 JavaScript library) that creates interactive data visualizations on the fly. It also includes additional statistical nodes and a REST interface (KNIME Server edition) that provides services-based access to workflows.
|
||||
|
||||
KNIME’s core analytics engine is free open source. The company offers several fee-based extensions for clustering and collaboration. (A portion of your licensing fee actually funds the open source project.) KNIME Server (on-premise or cloud) ups the ante with security, collaboration, and workflow repositories -- all serving to inject analytics more productively throughout your business lines.
|
||||
|
||||
-- James R. Borck
|
||||
|
||||
|
||||
|
||||
### Teiid ###
|
||||
|
||||
[Teiid][15] is a data virtualization system that allows applications to use data from multiple, heterogeneous data stores. Currently a JBoss project, Teiid is backed by years of development from MetaMatrix and a long history of addressing the data access needs of the largest enterprise environments. I even see [uses for Teiid in Hadoop and big data environments][16].
|
||||
|
||||
In essence, Teiid allows you to connect all of your data sources into a “virtual” mega data source. You can define caching semantics, transforms, and other “configuration not code” transforms to load from multiple data sources using plain old SQL, XQuery, or procedural queries.
|
||||
|
||||
Teiid is primarily accessible through JBDC and has built-in support for Web services. Red Hat sells Teiid as [JBoss Data Virtualization][17].
|
||||
|
||||
-- Andrew C. Oliver
|
||||
|
||||
|
||||
|
||||
### Read about more open source winners ###
|
||||
|
||||
InfoWorld's Best of Open Source Awards for 2014 celebrate more than 100 open source projects, from the bottom of the stack to the top. Follow these links to more open source winners:
|
||||
|
||||
[Bossie Awards 2015: The best open source applications][18]
|
||||
|
||||
[Bossie Awards 2015: The best open source application development tools][19]
|
||||
|
||||
[Bossie Awards 2015: The best open source big data tools][20]
|
||||
|
||||
[Bossie Awards 2015: The best open source data center and cloud software][21]
|
||||
|
||||
[Bossie Awards 2015: The best open source desktop and mobile software][22]
|
||||
|
||||
[Bossie Awards 2015: The best open source networking and security software][23]
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
via: http://www.infoworld.com/article/2982622/open-source-tools/bossie-awards-2015-the-best-open-source-applications.html
|
||||
|
||||
作者：[InfoWorld staff][a]
|
||||
译者：[译者ID](https://github.com/译者ID)
|
||||
校对：[校对者ID](https://github.com/校对者ID)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]:http://www.infoworld.com/author/InfoWorld-staff/
|
||||
[1]:http://xtuple.org/
|
||||
[2]:http://odoo.com/
|
||||
[3]:http://idempiere.org/
|
||||
[4]:http://suitecrm.com/
|
||||
[5]:http://salesagility.com/
|
||||
[6]:http://civicrm.org/
|
||||
[7]:https://www.mautic.org/
|
||||
[8]:http://www.orangehrm.com/
|
||||
[9]:http://libreoffice.org/
|
||||
[10]:http://www.bonitasoft.com/
|
||||
[11]:http://camunda.com/
|
||||
[12]:http://talend.com/
|
||||
[13]:http://warewolf.io/
|
||||
[14]:http://www.knime.org/
|
||||
[15]:http://teiid.jboss.org/
|
||||
[16]:http://www.infoworld.com/article/2922180/application-development/database-virtualization-or-i-dont-want-to-do-etl-anymore.html
|
||||
[17]:http://www.jboss.org/products/datavirt/overview/
|
||||
[18]:http://www.infoworld.com/article/2982622/bossie-awards-2015-the-best-open-source-applications.html
|
||||
[19]:http://www.infoworld.com/article/2982920/bossie-awards-2015-the-best-open-source-application-development-tools.html
|
||||
[20]:http://www.infoworld.com/article/2982429/bossie-awards-2015-the-best-open-source-big-data-tools.html
|
||||
[21]:http://www.infoworld.com/article/2982923/bossie-awards-2015-the-best-open-source-data-center-and-cloud-software.html
|
||||
[22]:http://www.infoworld.com/article/2982630/bossie-awards-2015-the-best-open-source-desktop-and-mobile-software.html
|
||||
[23]:http://www.infoworld.com/article/2982962/bossie-awards-2015-the-best-open-source-networking-and-security-software.html
|
||||
@ -0,0 +1,287 @@
|
||||
Bossie Awards 2015: The best open source big data tools
|
||||
================================================================================
|
||||
InfoWorld's top picks in distributed data processing, streaming analytics, machine learning, and other corners of large-scale data analytics
|
||||
|
||||
|
||||
|
||||
### The best open source big data tools ###
|
||||
|
||||
How many Apache projects can sit on a pile of big data? Fire up your Hadoop cluster, and you might be able to count them. Among this year's Bossies in big data, you'll find the fastest, widest, and deepest newfangled solutions for large-scale SQL, stream processing, sort-of stream processing, and in-memory analytics, not to mention our favorite maturing members of the Hadoop ecosystem. It seems everyone has a nail to drive into MapReduce's coffin.
|
||||
|
||||
|
||||
|
||||
### Spark ###
|
||||
|
||||
With hundreds of contributors, [Spark][1] is one of the most active and fastest-growing Apache projects, and with heavyweights like IBM throwing their weight behind the project and major corporations bringing applications into large-scale production, the momentum shows no signs of letting up.
|
||||
|
||||
The sweet spot for Spark continues to be machine learning. Highlights since last year include the replacement of the SchemaRDD with a Dataframes API, similar to those found in R and Pandas, making data access much simpler than with the raw RDD interface. Also new are ML pipelines for building repeatable machine learning workflows, expanded and optimized support for various storage formats, simpler interfaces to machine learning algorithms, improvements in the display of cluster resources usage, and task tracking.
|
||||
|
||||
On by default in Spark 1.5 is the off-heap memory manager, Tungsten, which offers much faster processing by fine-tuning data structure layout in memory. Finally, the new website, [spark-packages.org][2], with more than 100 third-party libraries, adds many useful features from the community.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### Storm ###
|
||||
|
||||
[Apache Storm][3] is a Clojure-based distributed computation framework primarily for streaming real-time analytics. Storm is based on the [disruptor pattern][4] for low-latency complex event processing created LMAX. Unlike Spark, Storm can do single events as opposed to “micro-batches,” and it has a lower memory footprint. In my experience, it scales better for streaming, especially when you’re mainly streaming to ingest data into other data sources.
|
||||
|
||||
Storm’s profile has been eclipsed by Spark, but Spark is inappropriate for many streaming applications. Storm is frequently used with Apache Kafka.
|
||||
|
||||
-- Andrew C. Oliver
|
||||
|
||||
|
||||
|
||||
### H2O ###
|
||||
|
||||
[H2O][5] is a distributed, in-memory processing engine for machine learning that boasts an impressive array of algorithms. Previously only available for R users, version 3.0 adds Python and Java language bindings, as well as a Spark execution engine for the back end. The best way to view H20 is as a very large memory extension of your R environment. Instead of working directly on large data sets, the R extensions communicate via a REST API with the H2O cluster, where H2O does the heavy lifting.
|
||||
|
||||
Several useful R packages such as ddply have been wrapped, allowing you to use them on data sets larger than the amount of RAM on the local machine. You can run H2O on EC2, on a Hadoop/YARN cluster, and on Docker containers. With Sparkling Water (Spark plus H2O) you can access Spark RDDs on the cluster side by side to, for example, process a data frame with Spark before passing it to an H2O machine learning algorithm.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### Apex ###
|
||||
|
||||
[Apex][6] is an enterprise-grade, big data-in-motion platform that unifies stream processing as well as batch processing. A native YARN application, Apex processes streaming data in a scalable, fault-tolerant manner and provides all the common stream operators out of the box. One of the best things about Apex is that it natively supports the common event processing guarantees (exactly once, at least once, at most once). Formerly a commercial product by DataTorrent, Apex's roots show in the quality of the documentation, examples, code, and design. Devops and application development are cleanly separated, and user code generally doesn't have to be aware that it is running in a streaming cluster.
|
||||
|
||||
A related project, [Malhar][7], offers more than 300 commonly used operators and application templates that implement common business logic. The Malhar libraries significantly reduce the time it takes to develop an Apex application, and there are connectors (operators) for storage, file systems, messaging systems, databases, and nearly anything else you might want to connect to from an application. The operators can all be extended or customized to meet individual business's requirements. All Malhar components are available under the Apache license.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### Druid ###
|
||||
|
||||
[Druid][8], which moved to a commercially friendly Apache license in February of this year, is best described as a hybrid, “event streams meet OLAP” solution. Originally developed to analyze online events for ad markets, Druid allows users to do arbitrary and interactive exploration of time series data. Some of the key features include low-latency ingest of events, fast aggregations, and approximate and exact calculations.
|
||||
|
||||
At the heart of Druid is a custom data store that uses specialized nodes to handle each part of the problem. Real-time ingest is managed by real-time nodes (JVMs) that eventually flush data to historical nodes that are responsible for data that has aged. Broker nodes direct queries in a scatter-gather fashion to both real-time and historical nodes to give the user a complete picture of events. Benchmarked at a sustained 500K events per second and 1 million events per second peak, Druid is ideal as a real-time dashboard for ad-tech, network traffic, and other activity streams.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### Flink ###
|
||||
|
||||
At its core, [Flink][9] is a data flow engine for event streams. Although superficially similar to Spark, Flink takes a different approach to in-memory processing. First, Flink was designed from the start as a stream processor. Batch is simply a special case of a stream with a beginning and an end, and Flink offers APIs for dealing with each case, the DataSet API (batch) and the DataStream API. Developers coming from the MapReduce world should feel right at home working with the DataSet API, and porting applications to Flink should be straightforward. In many ways Flink mirrors the simplicity and consistency that helped make Spark so popular. Like Spark, Flink is written in Scala.
|
||||
|
||||
The developers of Flink clearly thought out usage and operations too: Flink works natively with YARN and Tez, and it uses an off-heap memory management scheme to work around some of the JVM limitations. A peek at the Flink JIRA site shows a healthy pace of development, and you’ll find an active community on the mailing lists and on StackOverflow as well.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### Elasticsearch ###
|
||||
|
||||
[Elasticsearch][10] is a distributed document search server based on [Apache Lucene][11]. At its heart, Elasticsearch builds indices on JSON-formatted documents in nearly real time, enabling fast, full-text, schema-free queries. Combined with the open source Kibana dashboard, you can create impressive visualizations of your real-time data in a simple point-and-click fashion.
|
||||
|
||||
Elasticsearch is easy to set up and easy to scale, automatically making use of new hardware by rebalancing shards as required. The query syntax isn't at all SQL-like, but it is intuitive enough for anyone familiar with JSON. Most users won't be interacting at that level anyway. Developers can use the native JSON-over-HTTP interface or one of the several language bindings available, including Ruby, Python, PHP, Perl, .Net, Java, and JavaScript.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### SlamData ###
|
||||
|
||||
If you are seeking a user-friendly tool to visualize and understand your newfangled NoSQL data, take a look at [SlamData][12]. SlamData allows you to query nested JSON data using familiar SQL syntax, without relocation or transformation.
|
||||
|
||||
One of the technology’s main features is its connectors. From MongoDB to HBase, Cassandra, and Apache Spark, SlamData taps external data sources with the industry's most advanced “pushdown” processing technology, performing transformations and analytics close to the data.
|
||||
|
||||
While you might ask, “Wouldn’t I be better off building a data lake or data warehouse?” consider the companies that were born in NoSQL. Skipping the ETL and simply connecting a visualization tool to a replica offers distinct advantages -- not only in terms of how up-to-date the data is, but in how many moving parts you have to maintain.
|
||||
|
||||
-- Andrew C. Oliver
|
||||
|
||||
|
||||
|
||||
### Drill ###
|
||||
|
||||
[Drill][13] is a distributed system for interactive analysis of large-scale data sets, inspired by [Google's Dremel][14]. Designed for low-latency analysis of nested data, Drill has a stated design goal of scaling to 10,000 servers and querying petabytes of data and trillions of records.
|
||||
|
||||
Nested data can be obtained from a variety of data sources (such as HDFS, HBase, Amazon S3, and Azure Blobs) and in multiple formats (including JSON, Avro, and protocol buffers), and you don't need to specify a schema up front (“schema on read”).
|
||||
|
||||
Drill uses ANSI SQL:2003 for its query language, so there's no learning curve for data engineers to overcome, and it allows you to join data across multiple data sources (for example, joining a table in HBase with logs in HDFS). Finally, Drill offers ODBC and JDBC interfaces to connect your favorite BI tools.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### HBase ###
|
||||
|
||||
[HBase][15] reached the 1.x milestone this year and continues to improve. Like other nonrelational distributed datastores, HBase excels at returning search results very quickly and for this reason is often used to back search engines, such as the ones at eBay, Bloomberg, and Yahoo. As a stable and mature software offering, HBase does not get fresh features as frequently as newer projects, but that's often good for enterprises.
|
||||
|
||||
Recent improvements include the addition of high-availability region servers, support for rolling upgrades, and YARN compatibility. Features in the works include scanner updates that promise to improve performance and the ability to use HBase as a persistent store for streaming applications like Storm and Spark. HBase can also be queried SQL style via the [Phoenix][16] project, now out of incubation, whose SQL compatibility is steadily improving. Phoenix recently added a Spark connector and the ability to add custom user-defined functions.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### Hive ###
|
||||
|
||||
Although stable and mature for several years, [Hive][17] reached the 1.0 version milestone this year and continues to be the best solution when really heavy SQL lifting (many petabytes) is required. The community continues to focus on improving the speed, scale, and SQL compliance of Hive. Currently at version 1.2, significant improvements since its last Bossie include full ACID semantics, cross-data center replication, and a cost-based optimizer.
|
||||
|
||||
Hive 1.2 also brought improved SQL compliance, making it easier for organizations to use it to off-load ETL jobs from their existing data warehouses. In the pipeline are speed improvements with an in-memory cache called LLAP (which, from the looks of the JIRAs, is about ready for release), the integration of Spark machine learning libraries, and improved SQL constructs like nonequi joins, interval types, and subqueries.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### Kylin ###
|
||||
|
||||
[Kylin][18] is an application developed at eBay for processing very large OLAP cubes via ANSI SQL, a task familiar to most data analysts. If you think about how many items are on sale now and in the past at eBay, and all the ways eBay might want to slice and dice data related to those items, you will begin to understand the types of queries Kylin was designed for.
|
||||
|
||||
Like most other analysis applications, Kylin supports multiple access methods, including JDBC, ODBC, and a REST API for programmatic access. Although Kylin is still in incubation at Apache, and the community nascent, the project is well documented and the developers are responsive and eager to understand customer use cases. Getting up and running with a starter cube was a snap. If you have a need for analysis of extremely large cubes, you should take a look at Kylin.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### CDAP ###
|
||||
|
||||
[CDAP][19] (Cask Data Access Platform) is a framework running on top of Hadoop that abstracts away the complexity of building and running big data applications. CDAP is organized around two core abstractions: data and applications. CDAP Datasets are logical representations of data that behave uniformly regardless of the underlying storage layer; CDAP Streams provide similar support for real-time data.
|
||||
|
||||
Applications use CDAP services for things such as distributed transactions and service discovery to shield developers from the low-level details of Hadoop. CDAP comes with a data ingestion framework and a few prebuilt applications and “packs” for common tasks like ETL and website analytics, along with support for testing, debugging, and security. Like most formerly commercial (closed source) projects, CDAP benefits from good documentation, tutorials, and examples.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### Ranger ###
|
||||
|
||||
Security has long been a sore spot with Hadoop. It isn’t (as is frequently reported) that Hadoop is “insecure” or “has no security.” Rather, the truth was more that Hadoop had too much security, though not in a good way. I mean that every component had its own authentication and authorization implementation that wasn’t integrated with the rest of platform.
|
||||
|
||||
Hortonworks acquired XA/Secure in May, and [a few renames later][20] we have [Ranger][21]. Ranger pulls many of the key components of Hadoop together under one security umbrella, allowing you to set a “policy” that ties your Hadoop security to your existing ACL-based Active Directory authentication and authorization. Ranger gives you one place to manage Hadoop access control, one place to audit, one place to manage the encryption, and a pretty Web page to do it from.
|
||||
|
||||
-- Andrew C. Oliver
|
||||
|
||||
|
||||
|
||||
### Mesos ###
|
||||
|
||||
[Mesos][22], developed at the [AMPLab][23] at U.C. Berkeley that also brought us Spark, takes a different approach to managing cluster computing resources. The best way to describe Mesos is as a distributed microkernel for the data center. Mesos provides a minimal set of operating system mechanisms like inter-process communications, disk access, and memory to higher-level applications, called “frameworks” in Mesos-speak, that run in what is analogous to user space. Popular frameworks for Mesos include [Chronos][24] and [Aurora][25] for building ETL pipelines and job scheduling, and a few big data processing applications including Hadoop, Storm, and Spark, which have been ported to run as Mesos frameworks.
|
||||
|
||||
Mesos applications (frameworks) negotiate for cluster resources using a two-level scheduling mechanism, so writing a Mesos application is unlikely to feel like a familiar experience to most developers. Although Mesos is a young project, momentum is growing, and with Spark being an exceptionally good fit for Mesos, we're likely to see more from Mesos in the coming years.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### NiFi ###
|
||||
|
||||
[NiFi][26] is an incubating Apache project to automate the flow of data between systems. It doesn't operate in the traditional space that Kafka and Storm do, but rather in the space between external devices and the data center. NiFi was originally developed by the NSA and donated to the open source community in 2014. It has a strong community of developers and users within various government agencies.
|
||||
|
||||
NiFi isn't like anything else in the current big data ecosystem. It is much closer to a tradition EAI (enterprise application integration) tool than a data processing platform, although simple transformations are possible. One interesting feature is the ability to debug and change data flows in real time. Although not quite a REPL (read, eval, print loop), this kind of paradigm dramatically shortens the development cycle by not requiring a compile-deploy-test-debug workflow. Other interesting features include a strong “chain of custody,” where each piece of data can be tracked from beginning to end, along with any changes made along the way. You can also prioritize data flows so that time-sensitive information can be received as quickly as possible, bypassing less time-critical events.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### Kafka ###
|
||||
|
||||
[Kafka][27] has emerged as the de-facto standard for distributed publish-subscribe messaging in the big data space. Its design allows brokers to support thousands of clients at high rates of sustained message throughput, while maintaining durability through a distributed commit log. Kafka does this by maintaining what is essentially a single log file in HDFS. Since HDFS is a distributed storage system that keeps redundant copies, Kafka is protected.
|
||||
|
||||
When consumers want to read messages, Kafka looks up their offset in the central log and sends them. Because messages are not deleted immediately, adding consumers or replaying historical messages does not impose additional costs. Kafka has been benchmarked at 2 million writes per second by its developers at LinkedIn. Despite Kafka’s sub-1.0 version number, Kafka is a mature and stable product, in use in some of the largest clusters in the world.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### OpenTSDB ###
|
||||
|
||||
[OpenTSDB][28] is a time series database built on HBase. It was designed specifically for analyzing data collected from applications, mobile devices, networking equipment, and other hardware devices. The custom HBase schema used to store the time series data has been designed for fast aggregations and minimal storage requirements.
|
||||
|
||||
By using HBase as the underlying storage layer, OpenTSDB gains the distributed and reliable characteristics of that system. Users don't interact with HBase directly; instead events are written to the system via the time series daemon (TSD), which can be scaled out as required to handle high-throughput situations. There are a number of prebuilt connectors to publish data to OpenTSDB, and clients to read data from Ruby, Python, and other languages. OpenTSDB isn't strong on creating interactive graphics, but several third-party tools fill that gap. If you are already using HBase and want a simple way to store event data, OpenTSDB might be just the thing.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### Jupyter ###
|
||||
|
||||
Everybody's favorite notebook application went generic. [Jupyter][29] is “the language-agnostic parts of IPython” spun out into an independent package. Although Jupyter itself is written in Python, the system is modular. Now you can have an IPython-like interface, along with notebooks for sharing code, documentation, and data visualizations, for nearly any language you like.
|
||||
|
||||
At least [50 language][30] kernels are already supported, including LISP, R, Ruby, F#, Perl, and Scala. In fact, even IPython itself is simply a Python module for Jupyter. Communication with the language kernel is via a REPL (read, eval, print loop) protocol, similar to [nREPL][31] or [Slime][32]. It is nice to see such a useful piece of software receiving significant [nonprofit funding][33] to further its development, such as parallel execution and multi-user notebooks. Behold, open source at its best.
|
||||
|
||||
-- Steven Nunez
|
||||
|
||||
|
||||
|
||||
### Zeppelin ###
|
||||
|
||||
While still in incubation, [Apache Zeppelin][34] is nevertheless stirring the data analytics and visualization pot. The Web-based notebook enables users to ingest, discover, analyze, and visualize their data. The notebook also allows you to collaborate with others to make data-driven, interactive documents incorporating a growing number of programming languages.
|
||||
|
||||
This technology also boasts an integration with Spark and an interpreter concept allowing any language or data processing back end to be plugged into Zeppelin. Currently Zeppelin supports interpreters such as Scala, Python, SparkSQL, Hive, Markdown, and Shell.
|
||||
|
||||
Zeppelin is still immature. I wanted to put a demo up but couldn’t find an easy way to disable “shell” as an execution option (among other things). However, it already looks better visually than IPython Notebook, which is the popular incumbent in this space. If you don’t want to spring for DataBricks Cloud or need something open source and extensible, this is the most promising distributed computing notebook around -- especially if you’re a Sparky type.
|
||||
|
||||
-- Andrew C. Oliver
|
||||
|
||||
|
||||
|
||||
### Read about more open source winners ###
|
||||
|
||||
InfoWorld's Best of Open Source Awards for 2014 celebrate more than 100 open source projects, from the bottom of the stack to the top. Follow these links to more open source winners:
|
||||
|
||||
[Bossie Awards 2015: The best open source applications][35]
|
||||
|
||||
[Bossie Awards 2015: The best open source application development tools][36]
|
||||
|
||||
[Bossie Awards 2015: The best open source big data tools][37]
|
||||
|
||||
[Bossie Awards 2015: The best open source data center and cloud software][38]
|
||||
|
||||
[Bossie Awards 2015: The best open source desktop and mobile software][39]
|
||||
|
||||
[Bossie Awards 2015: The best open source networking and security software][40]
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
via: http://www.infoworld.com/article/2982429/open-source-tools/bossie-awards-2015-the-best-open-source-big-data-tools.html
|
||||
|
||||
作者：[InfoWorld staff][a]
|
||||
译者：[译者ID](https://github.com/译者ID)
|
||||
校对：[校对者ID](https://github.com/校对者ID)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]:http://www.infoworld.com/author/InfoWorld-staff/
|
||||
[1]:https://spark.apache.org/
|
||||
[2]:http://spark-packages.org/
|
||||
[3]:https://storm.apache.org/
|
||||
[4]:https://lmax-exchange.github.io/disruptor/
|
||||
[5]:http://h2o.ai/product/
|
||||
[6]:https://www.datatorrent.com/apex/
|
||||
[7]:https://github.com/DataTorrent/Malhar
|
||||
[8]:https://druid.io/
|
||||
[9]:https://flink.apache.org/
|
||||
[10]:https://www.elastic.co/products/elasticsearch
|
||||
[11]:http://lucene.apache.org/
|
||||
[12]:http://teiid.jboss.org/
|
||||
[13]:https://drill.apache.org/
|
||||
[14]:http://research.google.com/pubs/pub36632.html
|
||||
[15]:http://hbase.apache.org/
|
||||
[16]:http://phoenix.apache.org/
|
||||
[17]:https://hive.apache.org/
|
||||
[18]:https://kylin.incubator.apache.org/
|
||||
[19]:http://cdap.io/
|
||||
[20]:http://www.infoworld.com/article/2973381/application-development/apache-ranger-chuck-norris-hadoop-security.html
|
||||
[21]:https://ranger.incubator.apache.org/
|
||||
[22]:http://mesos.apache.org/
|
||||
[23]:https://amplab.cs.berkeley.edu/
|
||||
[24]:http://nerds.airbnb.com/introducing-chronos/
|
||||
[25]:http://aurora.apache.org/
|
||||
[26]:http://nifi.apache.org/
|
||||
[27]:https://kafka.apache.org/
|
||||
[28]:http://opentsdb.net/
|
||||
[29]:http://jupyter.org/
|
||||
[30]:http://https//github.com/ipython/ipython/wiki/IPython-kernels-for-other-languages
|
||||
[31]:https://github.com/clojure/tools.nrepl
|
||||
[32]:https://github.com/slime/slime
|
||||
[33]:http://blog.jupyter.org/2015/07/07/jupyter-funding-2015/
|
||||
[34]:https://zeppelin.incubator.apache.org/
|
||||
[35]:http://www.infoworld.com/article/2982622/bossie-awards-2015-the-best-open-source-applications.html
|
||||
[36]:http://www.infoworld.com/article/2982920/bossie-awards-2015-the-best-open-source-application-development-tools.html
|
||||
[37]:http://www.infoworld.com/article/2982429/bossie-awards-2015-the-best-open-source-big-data-tools.html
|
||||
[38]:http://www.infoworld.com/article/2982923/bossie-awards-2015-the-best-open-source-data-center-and-cloud-software.html
|
||||
[39]:http://www.infoworld.com/article/2982630/bossie-awards-2015-the-best-open-source-desktop-and-mobile-software.html
|
||||
[40]:http://www.infoworld.com/article/2982962/bossie-awards-2015-the-best-open-source-networking-and-security-software.html
|
||||
@ -0,0 +1,261 @@
|
||||
Bossie Awards 2015: The best open source data center and cloud software
|
||||
================================================================================
|
||||
InfoWorld's top picks of the year in open source platforms, infrastructure, management, and orchestration software
|
||||
|
||||
|
||||
|
||||
### The best open source data center and cloud software ###
|
||||
|
||||
You might have heard about this new thing called Docker containers. Developers love them because you can build them with a script, add services in layers, and push them right from your MacBook Pro to a server for testing. It works because they're superlightweight, unlike those now-archaic virtual machines. Containers -- and other lightweight approaches to deliver services -- are changing the shape of operating systems, applications, and the tools to manage them. Our Bossie winners in data center and cloud are leading the charge.
|
||||
|
||||
|
||||
|
||||
### Docker Machine, Compose, and Swarm ###
|
||||
|
||||
Docker’s open source container technology has been adopted by the major public clouds and is being built into the next version of Windows Server. Allowing developers and operations teams to separate applications from infrastructure, Docker is a powerful data center automation tool.
|
||||
|
||||
However, containers are only part of the Docker story. Docker also provides a series of tools that allow you to use the Docker API to automate the entire container lifecycle, as well as handling application design and orchestration.
|
||||
|
||||
[Machine][1] allows you to automate the provisioning of Docker Containers. Starting with a command line, you can use a single line of code to target one or more hosts, deploy the Docker engine, and even join it to a Swarm cluster. There’s support for most hypervisors and cloud platforms – all you need are your access credentials.
|
||||
|
||||
[Swarm][2] handles clustering and scheduling, and it can be integrated with Mesos for more advanced scheduling capabilities. You can use Swarm to build a pool of container hosts, allowing your apps to scale out as demand increases. Applications and all of their dependencies can be defined with [Compose][3], which lets you link containers together into a distributed application and launch them as a group. Compose descriptions work across platforms, so you can take a developer configuration and quickly deploy in production.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### CoreOS and Rkt ###
|
||||
|
||||
A thin, lightweight server OS, [CoreOS][4] is based on Google’s Chromium OS. Instead of using a package manager to install functions, it’s designed to be used with Linux containers. By using containers to extend a thin core, CoreOS allows you to quickly deploy applications, working well on cloud infrastructures.
|
||||
|
||||
CoreOS’s container management tooling, fleet, is designed to treat a cluster of CoreOS servers as a single unit, with tools for managing high availability and for deploying containers to the cluster based on resource availability. A cross-cluster key/value store, etcd, handles device management and supports service discovery. If a node fails, etcd can quickly restore state on a new replica, giving you a distributed configuration management platform that’s linked to CoreOS’s automated update service.
|
||||
|
||||
While CoreOS is perhaps best known for its Docker support, the CoreOS team is developing its own container runtime, rkt, with its own container format, the App Container Image. Also compatible with Docker containers, rkt has a modular architecture that allows different containerization systems (even hardware virtualization, in a proof of concept from Intel) to be plugged in. However, rkt is still in the early stages of development, so isn’t quite production ready.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### RancherOS ###
|
||||
|
||||
As we abstract more and more services away from the underlying operating system using containers, we can start thinking about what tomorrow’s operating system will look like. Similar to our applications, it’s going to be a modular set of services running on a thin kernel, self-configuring to offer only the services our applications need.
|
||||
|
||||
[RancherOS][5] is a glimpse of what that OS might look like. Blending the Linux kernel with Docker, RancherOS is a minimal OS suitable for hosting container-based applications in cloud infrastructures. Instead of using standard Linux packaging techniques, RancherOS leverages Docker to host Linux user-space services and applications in separate container layers. A low-level Docker instance is first to boot, hosting system services in their own containers. Users' applications run in a higher-level Docker instance, separate from the system containers. If one of your containers crashes, the host keeps running.
|
||||
|
||||
RancherOS is only 20MB in size, so it's easy to replicate across a data center. It’s also designed to be managed using automation tools, not manually, with API-level access that works with Docker’s management tools as well as with Rancher Labs’ own cloud infrastructure and management tools.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### Kubernetes ###
|
||||
|
||||
Google’s [Kubernetes][6] container orchestration system is designed to manage and run applications built in Docker and Rocket containers. Focused on managing microservice applications, Kubernetes lets you distribute your containers across a cluster of hosts, while handling scaling and ensuring managed services run reliably.
|
||||
|
||||
With containers providing an application abstraction layer, Kubernetes is an application-centric management service that supports many modern development paradigms, with a focus on user intent. That means you launch applications, and Kubernetes will manage the containers to run within the parameters you set, using the Kubernetes scheduler to make sure it gets the resources it needs. Containers are grouped into pods and managed by a replication engine that can recover failed containers or add more pods as applications scale.
|
||||
|
||||
Kubernetes powers Google’s own Container Engine, and it runs on a range of other cloud and data center services, including AWS and Azure, as well as vSphere and Mesos. Containers can be either loosely or tightly coupled, so applications not designed for cloud PaaS operations can be migrated to the cloud as a tightly coupled set of containers. Kubernetes also supports rapid deployment of applications to a cluster, giving you an endpoint for a continuous delivery process.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### Mesos ###
|
||||
|
||||
Turning a data center into a private or public cloud requires more than a hypervisor. It requires a new operating layer that can manage the data center resources as if they were a single computer, handling resources and scheduling. Described as a “distributed systems kernel,” [Apache Mesos][7] allows you to manage thousands of servers, using containers to host applications and APIs to support parallel application development.
|
||||
|
||||
At the heart of Mesos is a set of daemons that expose resources to a central scheduler. Tasks are distributed across nodes, taking advantage of available CPU and memory. One key approach is the ability for applications to reject offered resources if they don’t meet requirements. It’s an approach that works well for big data applications, and you can use Mesos to run Hadoop and Cassandra distributed databases, as well as Apache’s own Spark data processing engine. There’s also support for the Jenkins continuous integration server, allowing you to run build and test workers in parallel on a cluster of servers, dynamically adjusting the tasks depending on workload.
|
||||
|
||||
Designed to run on Linux and Mac OS X, Mesos has also recently been ported to Windows to support the development of scalable parallel applications on Azure.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### SmartOS and SmartDataCenter ###
|
||||
|
||||
Joyent’s [SmartDataCenter][8] is the software that runs its public cloud, adding a management platform on top of its [SmartOS][9] thin server OS. A descendent of OpenSolaris that combines Zones containers and the KVM hypervisor, SmartOS is an in-memory operating system, quick to boot from a USB stick and run on bare-metal servers.
|
||||
|
||||
Using SmartOS, you can quickly deploy a set of lightweight servers that can be programmatically managed via a set of JSON APIs, with functionality delivered via virtual machines, downloaded by built-in image management tools. Through the use of VMs, all userland operations are isolated from the underlying OS, reducing the security exposure of both the host and guests.
|
||||
|
||||
SmartDataCenter runs on SmartOS servers, with one server running as a dedicated management node, and the rest of a cluster operating as compute nodes. You can get started with a Cloud On A Laptop build (available as a VMware virtual appliance) that lets you experiment with the management server. In a live data center, you’ll deploy SmartOS on your servers, using ZFS to handle storage – which includes your local image library. Services are deployed as images, with components stored in an object repository.
|
||||
|
||||
The combination of SmartDataCenter and SmartOS builds on the experience of Joyent’s public cloud, giving you a tried and tested set of tools that can help you bootstrap your own cloud data center. It’s an infrastructure focused on virtual machines today, but laying the groundwork for tomorrow. A related Joyent project, [sdc-docker][10], exposes an entire SmartDataCenter cluster as a single Docker host, driven by native Docker commands.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### Sensu ###
|
||||
|
||||
Managing large-scale data centers isn’t about working with server GUIs, it’s about automating scripts based on information from monitoring tools and services, routing information from sensors and logs, and then delivering actions to applications. One tool that’s beginning to offer this functionality is [Sensu][11], often described as a “monitoring router.”
|
||||
|
||||
Scripts running across your data center deliver information to Sensu, which then routes it to the appropriate handler, using a publish-and-subscribe architecture based on RabbitMQ. Servers can be distributed, delivering published check results to handler code. You might see results in email, or in a Slack room, or in Sensu’s own dashboards. Message formats are defined in JSON files, or mutators used to format data on the fly, and messages can be filtered to one or more event handlers.
|
||||
|
||||
Sensu is still a relatively young tool, but it’s one that shows a lot of promise. If you’re going to automate your data center, you’re going to need a tool like this not only to show you what’s happening, but to deliver that information where it’s most needed. A commercial option adds support for integration with third-party applications, but much of what you need to manage a data center is in the open source release.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### Prometheus ###
|
||||
|
||||
Managing a modern data center is a complex task. Racks of servers need to be treated like cattle rather than pets, and you need a monitoring system designed to handle hundreds and thousands of nodes. Monitoring applications presents special challenges, and that’s where [Prometheus][12] comes in to play. A service monitoring system designed to deliver alerts to operators, Prometheus can run on everything from a single laptop to a highly available cluster of monitoring servers.
|
||||
|
||||
Time series data is captured and stored, then compared against patterns to identify faults and problems. You’ll need to expose data on HTTP endpoints, using a YAML file to configure the server. A browser-based reporting tool handles displaying data, with an expression console where you can experiment with queries. Dashboards can be created with a GUI builder, or written using a series of templates, letting you deliver application consoles that can be managed using version control systems such as Git.
|
||||
|
||||
Captured data can be managed using expressions, which make it easy to aggregate data from several sources -- for example, letting you bring performance data from a series of Web endpoints into one store. An experimental alert manager module delivers alerts to common collaboration and devops tools, including Slack and PagerDuty. Official client libraries for common languages like Go and Java mean it’s easy to add Prometheus support to your applications and services, while third-party options extend Prometheus to Node.js and .Net.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### Elasticsearch, Logstash, and Kibana ###
|
||||
|
||||
Running a modern data center generates a lot of data, and it requires tools to get information out of that data. That’s where the combination of Elasticsearch, Logstash, and Kibana, often referred to as the ELK stack, comes into play.
|
||||
|
||||
Designed to handle scalable search across a mix of content types, including structured and unstructured documents, [Elasticsearch][13] builds on Apache’s Lucene information retrieval tools, with a RESTful JSON API. It’s used to provide search for sites like Wikipedia and GitHub, using a distributed index with automated load balancing and routing.
|
||||
|
||||
Under the fabric of a modern cloud is a physical array of servers, running as VM hosts. Monitoring many thousands of servers needs centralized logs. [Logstash][14] harvests and filters the logs generated by those servers (and by the applications running on them), using a forwarder on each physical and virtual machine. Logstash-formatted data is then delivered to Elasticsearch, giving you a search index that can be quickly scaled as you add more servers.
|
||||
|
||||
At a higher level, [Kibana][15] adds a visualization layer to Elasticsearch, providing a Web dashboard for exploring and analyzing the data. Dashboards can be created around custom searches and shared with your team, providing a quick, easy-to-digest devops information feed.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### Ansible ###
|
||||
|
||||
Managing server configuration is a key element of any devops approach to managing a modern data center or a cloud infrastructure. Configuration management tooling that takes a desired state approach to simplifies systems management at cloud scale, using server and application descriptions to handle server and application deployment.
|
||||
|
||||
[Ansible][16] offers a minimal management service, using SSH to manage Unix nodes and PowerShell to work with Windows servers, with no need to deploy agents. An Ansible Playbook describes the state of a server or service in YAML, deploying Ansible modules to servers that handle configuration and removing them once the service is running. You can use Playbooks to orchestrate tasks -- for example, deploying several Web endpoints with a single script.
|
||||
|
||||
It’s possible to make module creation and Playbook delivery part of a continuous delivery process, using build tools to deliver configurations and automate deployment. Ansible can pull in information from cloud service providers, simplifying management of virtual machines and networks. Monitoring tools in Ansible are able to trigger additional deployments automatically, helping manage and control cloud services, as well as working to manage resources used by large-scale data platforms like Hadoop.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### Jenkins ###
|
||||
|
||||
Getting continuous delivery right requires more than a structured way of handling development; it also requires tools for managing test and build. That’s where the [Jenkins][17] continuous integration server comes in. Jenkins works with your choice of source control, your test harnesses, and your build server. It’s a flexible tool, initially designed for working with Java but now extended to support Web and mobile development and even to build Windows applications.
|
||||
|
||||
Jenkins is perhaps best thought of as a switching network, shunting files through a test and build process, and responding to signals from the various tools you’re using – thanks to a library of more than 1,000 plug-ins. These include tools for integrating Jenkins with both local Git instances and GitHub so that it's possible to extend a continuous development model into your build and delivery processes.
|
||||
|
||||
Using an automation tool like Jenkins is as much about adopting a philosophy as it is about implementing a build process. Once you commit to continuous integration as part of a continuous delivery model, you’ll be running test and build cycles as soon as code is delivered to your source control release branch – and delivering it to users as soon as it’s in the main branch.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### Node.js and io.js ###
|
||||
|
||||
Modern cloud applications are built using different design patterns from the familiar n-tier enterprise and Web apps. They’re distributed, event-driven collections of services that can be quickly scaled and can support many thousands of simultaneous users. One key technology in this new paradigm is [Node.js][18], used by many major cloud platforms and easy to install as part of a thin server or container on cloud infrastructure.
|
||||
|
||||
Key to the success of Node.js is the Npm package format, which allows you to quickly install extensions to the core Node.js service. These include frameworks like Express and Seneca, which help build scalable applications. A central registry handles package distribution, and dependencies are automatically installed.
|
||||
|
||||
While the [io.js][19] fork exposed issues with project governance, it also allowed a group of developers to push forward adding ECMAScript 6 support to an Npm-compatible engine. After reconciliation between the two teams, the Node.js and io.js codebases have been merged, with new releases now coming from the io.js code repository.
|
||||
|
||||
Other forks, like Microsoft’s io.js fork to add support for its 64-bit Chakra JavaScript engine alongside Google’s V8, are likely to be merged back into the main branch over the next year, keeping the Node.js platform evolving and cementing its role as the preferred host for cloud-scale microservices.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### Seneca ###
|
||||
|
||||
The developers of the [Seneca][20] microservice framework have a motto: “Build it now, scale it later!” It’s an apt maxim for anyone thinking about developing microservices, as it allows you to start small, then add functionality as your service grows.
|
||||
|
||||
Seneca is at heart an implementation of the [actor/message design pattern][21], focused on using Node.js as a switching engine that takes in messages, processes their contents, and sends an appropriate response, either to the message originator or to another service. By focusing on the message patterns that map to business use cases, it’s relatively easy to take Seneca and quickly build a minimum viable product for your application. A plug-in architecture makes it easy to integrate Seneca with other tools and to quickly add functionality to your services.
|
||||
|
||||
You can easily add new patterns to your codebase or break existing patterns into separate services as the needs of your application grow or change. One pattern can also call another, allowing quick code reuse. It’s also easy to add Seneca to a message bus, so you can use it as a framework for working with data from Internet of things devices, as all you need to do is define a listening port where JSON data is delivered.
|
||||
|
||||
Services may not be persistent, and Seneca gives you the option of using a built-in object relational mapping layer to handle data abstraction, with plug-ins for common databases.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### .Net Core and ASP.Net vNext ###
|
||||
|
||||
Microsoft’s [open-sourcing of .Net][22] is bringing much of the company’s Web platform into the open. The new [.Net Core][23] release runs on Windows, on OS X, and on Linux. Currently migrating from Microsoft’s Codeplex repository to GitHub, .Net Core offers a more modular approach to .Net, allowing you to install the functions you need as you need them.
|
||||
|
||||
Currently under development is [ASP.Net 5][24], an open source version of the Web platform, which runs on .Net Core. You can work with it as the basis of Web apps using Microsoft’s MVC 6 framework. There’s also support for the new SignalR libraries, which add support for WebSockets and other real-time communications protocols.
|
||||
|
||||
If you’re planning on using Microsoft’s new Nano server, you’ll be writing code against .Net Core, as it’s designed for thin environments. The new DNX, the .Net Execution environment, simplifies deployment of ASP.Net applications on a wide range of platforms, with tools for packaging code and for booting a runtime on a host. Features are added using the NuGet package manager, letting you use only the libraries you want.
|
||||
|
||||
Microsoft’s open source .Net is still very young, but there’s a commitment in Redmond to ensure it’s successful. Support in Microsoft’s own next-generation server operating systems means it has a place in both the data center and the cloud.
|
||||
|
||||
-- Simon Bisson
|
||||
|
||||
|
||||
|
||||
### GlusterFS ###
|
||||
|
||||
[GlusterFS][25] is a distributed file system. Gluster aggregates various storage servers into one large parallel network file system. You can [even use it in place of HDFS in a Hadoop cluster][26] or in place of an expensive SAN system -- or both. While HDFS is great for Hadoop, having a general-purpose distributed file system that doesn’t require you to transfer data to another location to analyze it is a key advantage.
|
||||
|
||||
In an era of commoditized hardware, commoditized computing, and increased performance and latency requirements, buying a big, fat expensive EMC SAN and hoping it fits all of your needs (it won’t) is no longer your sole viable option. GlusterFS was acquired by Red Hat in 2011.
|
||||
|
||||
-- Andrew C. Oliver
|
||||
|
||||
|
||||
|
||||
### Read about more open source winners ###
|
||||
|
||||
InfoWorld's Best of Open Source Awards for 2014 celebrate more than 100 open source projects, from the bottom of the stack to the top. Follow these links to more open source winners:
|
||||
|
||||
[Bossie Awards 2015: The best open source applications][27]
|
||||
|
||||
[Bossie Awards 2015: The best open source application development tools][28]
|
||||
|
||||
[Bossie Awards 2015: The best open source big data tools][29]
|
||||
|
||||
[Bossie Awards 2015: The best open source data center and cloud software][30]
|
||||
|
||||
[Bossie Awards 2015: The best open source desktop and mobile software][31]
|
||||
|
||||
[Bossie Awards 2015: The best open source networking and security software][32]
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
via: http://www.infoworld.com/article/2982923/open-source-tools/bossie-awards-2015-the-best-open-source-data-center-and-cloud-software.html
|
||||
|
||||
作者：[InfoWorld staff][a]
|
||||
译者：[译者ID](https://github.com/译者ID)
|
||||
校对：[校对者ID](https://github.com/校对者ID)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]:http://www.infoworld.com/author/InfoWorld-staff/
|
||||
[1]:https://www.docker.com/docker-machine
|
||||
[2]:https://www.docker.com/docker-swarm
|
||||
[3]:https://www.docker.com/docker-compose
|
||||
[4]:https://coreos.com/
|
||||
[5]:http://rancher.com/rancher-os/
|
||||
[6]:http://kubernetes.io/
|
||||
[7]:https://mesos.apache.org/
|
||||
[8]:https://github.com/joyent/sdc
|
||||
[9]:https://smartos.org/
|
||||
[10]:https://github.com/joyent/sdc-docker
|
||||
[11]:https://sensuapp.org/
|
||||
[12]:http://prometheus.io/
|
||||
[13]:https://www.elastic.co/products/elasticsearch
|
||||
[14]:https://www.elastic.co/products/logstash
|
||||
[15]:https://www.elastic.co/products/kibana
|
||||
[16]:http://www.ansible.com/home
|
||||
[17]:https://jenkins-ci.org/
|
||||
[18]:https://nodejs.org/en/
|
||||
[19]:https://iojs.org/en/
|
||||
[20]:http://senecajs.org/
|
||||
[21]:http://www.infoworld.com/article/2976422/application-development/how-to-use-actors-in-distributed-applications.html
|
||||
[22]:http://www.infoworld.com/article/2846450/microsoft-net/microsoft-open-sources-server-side-net-launches-visual-studio-2015-preview.html
|
||||
[23]:https://dotnet.github.io/core/
|
||||
[24]:http://www.asp.net/vnext
|
||||
[25]:http://www.gluster.org/
|
||||
[26]:http://www.gluster.org/community/documentation/index.php/Hadoop
|
||||
[27]:http://www.infoworld.com/article/2982622/bossie-awards-2015-the-best-open-source-applications.html
|
||||
[28]:http://www.infoworld.com/article/2982920/bossie-awards-2015-the-best-open-source-application-development-tools.html
|
||||
[29]:http://www.infoworld.com/article/2982429/bossie-awards-2015-the-best-open-source-big-data-tools.html
|
||||
[30]:http://www.infoworld.com/article/2982923/bossie-awards-2015-the-best-open-source-data-center-and-cloud-software.html
|
||||
[31]:http://www.infoworld.com/article/2982630/bossie-awards-2015-the-best-open-source-desktop-and-mobile-software.html
|
||||
[32]:http://www.infoworld.com/article/2982962/bossie-awards-2015-the-best-open-source-networking-and-security-software.html
|
||||
@ -0,0 +1,223 @@
|
||||
Bossie Awards 2015: The best open source desktop and mobile software
|
||||
================================================================================
|
||||
InfoWorld's top picks in open source productivity tools, desktop utilities, and mobile apps
|
||||
|
||||
|
||||
|
||||
### The best open source desktop and mobile software ###
|
||||
|
||||
Open source on the desktop has a long and distinguished history, and many of our Bossie winners in this category go back many years. Packed with features and still improving, some of these tools offer compelling alternatives to pricey commercial software. Others are utilities that we lean on daily for one reason or another -- the can openers and potato peelers of desktop productivity. One or two of them either plug holes in Windows, or they go the distance where Windows falls short.
|
||||
|
||||
|
||||
|
||||
### LibreOffice ###
|
||||
|
||||
With the major release of version 5 in August, the Document Foundation’s [LibreOffice][1] offers a completely redesigned user interface, better compatibility with Microsoft Office (including good-but-not-great DOCX, XLSX, and PPTX file format support), and significant improvements to Calc, the spreadsheet application.
|
||||
|
||||
Set against a turbulent background, the LibreOffice effort split from OpenOffice.org in 2010. In 2011, Oracle announced it would no longer support OpenOffice.org, and handed the trademark to the Apache Software Foundation. Since then, it has become [increasingly clear][2] that LibreOffice is winning the race for developers, features, and users.
|
||||
|
||||
-- Woody Leonhard
|
||||
|
||||
|
||||
|
||||
### Firefox ###
|
||||
|
||||
In the battle of the big browsers, [Firefox][3] gets our vote over its longtime open source rival Chromium for two important reasons:
|
||||
|
||||
• **Memory use**. Chromium, like its commercial cousin Chrome, has a nasty propensity to glom onto massive amounts of memory.
|
||||
|
||||
• **Privacy**. Witness the [recent controversy][4] over Chromium automatically downloading a microphone snooping program to respond to “OK, Google.”
|
||||
|
||||
Firefox may not have the most features or the down-to-the-millisecond fastest rendering engine. But it’s solid, stingy with resources, highly extensible, and most of all, it comes with no strings attached. There’s no ulterior data-gathering motive.
|
||||
|
||||
-- Woody Leonhard
|
||||
|
||||
|
||||
|
||||
### Thunderbird ###
|
||||
|
||||
A longtime favorite email client, Mozilla’s [Thunderbird][5], may be getting a bit long in the tooth, but it’s still supported and showing signs of life. The latest version, 38.2, arrived in August, and there are plans for more development.
|
||||
|
||||
Mozilla officially pulled its people off the project back in July 2012, but a hardcore group of volunteers, led by Kent James and the all-volunteer Thunderbird Council, continues to toil away. While you won’t find the latest email innovations in Thunderbird, you will find a solid core of basic functions based on local storage. If having mail in the cloud spooks you, it’s a good, private alternative. And if James goes ahead with his idea of encrypting Thunderbird mail end-to-end, there may be significant new life in the old bird.
|
||||
|
||||
-- Woody Leonhard
|
||||
|
||||
|
||||
|
||||
### Notepad++ ###
|
||||
|
||||
If Windows Notepad handles all of your text editing (and source code editing and HTML editing) needs, more power to ya. For Windows users who yearn for a little bit more in a text editor, there’s Don Ho’s [Notepad++][6], which is the editor I turn to, over and over again.
|
||||
|
||||
With tabbed views, drag-and-drop, color-coded hints for completing HTML commands, bookmarks, macro recording, shortcut keys, and every text encoding format you’re likely to encounter, Notepad++ takes text to a new level. We get frequent updates, too, with the latest in August.
|
||||
|
||||
-- Woody Leonhard
|
||||
|
||||
|
||||
|
||||
### VLC ###
|
||||
|
||||
The stalwart [VLC][7] (formerly known as VideoLan Client) runs almost any kind of media file on almost any platform. Yes, it even works as a remote control on Apple Watch.
|
||||
|
||||
The tiled Universal app version for Windows 10, in the Windows Store, draws some criticism for instability and lack of control, but in most cases VLC works, and it works well -- without external codecs. It even supports Blu-ray formats with two new libraries.
|
||||
|
||||
The desktop version is a must-have for Windows 10, unless you’re ready to run the advertising gauntlets that are the Universal Groove Music and Movies & TV apps from Microsoft. VLC received a major [feature update][8] in February and a comprehensive bug fix in April.
|
||||
|
||||
-- Woody Leonhard
|
||||
|
||||
|
||||
|
||||
### 7-Zip ###
|
||||
|
||||
Long recognized as the preeminent open source ZIP archive manager for Windows, [7-Zip][9] works like a champ, even on the Windows 10 desktop. Full coverage for RAR files, which can be problematic in Windows, combine with password-protected file creation and support for self-extracting ZIPs. It’s one of those programs that just works.
|
||||
|
||||
Yes, it would be nice to get a more modern file picker. Yes, it would be interesting to see a tiled Universal app version. But even without the fancy bells and whistles, 7-Zip deserves a place on every Windows desktop.
|
||||
|
||||
-- Woody Leonhard
|
||||
|
||||
|
||||
|
||||
### Handbrake ###
|
||||
|
||||
If you want to convert your DVDs (or video files in any commonly used format) into a file in some other format, or simply scrape them off a silver coaster, [Handbrake][10] is the way to do it. If you’re a Windows user, Handbrake is almost indispensible, since Microsoft doesn’t believe in ripping DVDs.
|
||||
|
||||
Handbrake presents a number of handy presets for optimizing conversions for your target device (iPod, iPad, Android Tablet, and so on) It’s simple, and it’s fast. With the latest round of bug fixes released in June, Handbrake’s keeping up on maintenance -- and it works fine on the Windows 10 desktop.
|
||||
|
||||
-- Woody Leonhard
|
||||
|
||||
|
||||
|
||||
### KeePass ###
|
||||
|
||||
I’ll confess that I almost gave up on [KeePass][11] because the primary download site goes to Sourceforge. That means you have to be extremely careful which boxes are checked and what you click on (and when) as you attempt to download and install the software. While KeePass itself is 100 percent clean open source (GNU GPL), Sourceforge doesn’t feel so constrained, and its [installers reek of crapware][12].
|
||||
|
||||
One of many local-file password storage programs, KeePass distinguishes itself with broad scope, as well as its ability to run on all sorts of platforms, no installation required. KeePass will save not only passwords, but also credit card information and freely structured information. It provides a strong random password generator, and the database itself is locked with AES and Twofish, so nobody’s going to crack it. And it’s kept up to date, with a new stable release last month.
|
||||
|
||||
-- Woody Leonhard
|
||||
|
||||
|
||||
|
||||
### VirtualBox ###
|
||||
|
||||
With a major release published in July, Oracle’s open source [VirtualBox][13] -- available for Windows, OS X, Linux, even Solaris --continues to give commercial counterparts VMware Workstation, VMware Fusion, Parallels Desktop, and Microsoft’s Hyper-V a hard run for their money. The Oracle team is still getting the final Windows 10 bugs ironed out, but come to think of it, so is Microsoft.
|
||||
|
||||
VirtualBox doesn’t quite match the performance or polish of the VMware and Parallels products, but it’s getting closer. Version 5 brought long-awaited drag-and-drop support, making it easier to move files between VMs and host.
|
||||
|
||||
I prefer VirtualBox over Hyper-V because it’s easy to control external devices. In Hyper-V, for example, getting sound to work is a pain in the neck, but in VirtualBox it only takes a click in setup. The shared clipboard between VM and host works wonders. Running speed on both is roughly the same, with a slight advantage to Hyper-V. But managing VirtualBox machines is much easier.
|
||||
|
||||
-- Woody Leonhard
|
||||
|
||||
|
||||
|
||||
### Inkscape ###
|
||||
|
||||
If you stand in awe of the designs created with Adobe Illustrator (or even CorelDraw), take a close look at [Inkscape][14]. Scalable vector images never looked so good.
|
||||
|
||||
Version 0.91, released in January, uses a new internal graphics rendering engine called Cairo, sponsored by Google, to make the app run faster and allow for more accurate rendering. Inkscape will read and write SVG, PNG, PDF, even EPS, and many other formats. It can export Flash XML Graphics, HTML5 Canvas, and XAML, among others.
|
||||
|
||||
There’s a strong community around Inkscape, and it’s built for easy extensibility. It’s available for Windows, OS X, and Linux.
|
||||
|
||||
-- Woody Leonhard
|
||||
|
||||
|
||||
|
||||
### KeePassDroid ###
|
||||
|
||||
Trying to remember all of the passwords we need today is impossible, and creating new ones to meet stringent password policy requirements can be agonizing. A port of KeePass for Android, [KeePassDroid][15] brings sanity preserving password management to mobile devices.
|
||||
|
||||
Like KeyPass, KeyPassDroid makes creating and accessing passwords easy, requiring you to recall only a single master password. It supports both DES and Twofish algorithms for encrypting all passwords, and it goes a step further by encrypting the entire password database, not only the password fields. Notes and other password pertinent information are encrypted too.
|
||||
|
||||
While KeePassDroid's interface is minimal -- dated, some would say -- it gets the job done with bare-bones efficiency. Need to generate passwords that have certain character sets and lengths? KeePassDroid can do that with ease. With more than a million downloads on the Google Play Store, you could say this app definitely fills a need.
|
||||
|
||||
-- Victor R. Garza
|
||||
|
||||
|
||||
|
||||
### Prey ###
|
||||
|
||||
Loss or theft of mobile devices is all too common these days. While there are many tools in the enterprise to manage and erase data either misplaced or stolen from an organization, [Prey][16] facilitates the recovery of the phone, laptop, or tablet, and not just the wiping of potentially sensitive information from the device.
|
||||
|
||||
Prey is a Web service that works with an open source installed agent for Linux, OS X, Windows, Android, and iOS devices. Prey tracks your lost or stolen device by using either the device's GPS, the native geolocation provided by newer operating systems, or an associated Wi-Fi hotspot to home in on the location.
|
||||
|
||||
If your smartphone is lost or stolen, send a text message to the device to activate Prey. For stolen tablets or laptops, use the Prey Project's cloud-based control panel to select the device as missing. The Prey agent on any device can then take a screenshot of the active applications, turn on the camera to catch a thief's image, reset the device to the factory settings, or fully lock down the device.
|
||||
|
||||
Should you want to retrieve your lost items, the Prey Project strongly suggests you contact your local police to have them assist you.
|
||||
|
||||
-- Victor R. Garza
|
||||
|
||||
|
||||
|
||||
### Orbot ###
|
||||
|
||||
The premiere proxy application for Android, [Orbot][17] leverages the volunteer-operated network of virtual tunnels called Tor (The Onion Router) to keep all communications private. Orbot works with companion applications [Orweb][18] for secure Web browsing and [ChatSecure][19] for secure chat. In fact, any Android app that allows its proxy settings to be changed can be secured with Orbot.
|
||||
|
||||
One thing to remember about the Tor network is that it's designed for secure, lightweight communications, not for pulling down torrents or watching YouTube videos. Surfing media-rich sites like Facebook can be painfully slow. Your Orbot communications won't be blazing fast, but they will stay private and confidential.
|
||||
|
||||
-- Victor R. Garza
|
||||
|
||||
|
||||
|
||||
### Tails ###
|
||||
|
||||
[Tails][20], or The Amnesic Incognito Live System, is a Linux Live OS that can be booted from a USB stick, DVD, or SD card. It’s often used covertly in the Deep Web to secure traffic when purchasing illicit substances, but it can also be used to avoid tracking, support freedom of speech, circumvent censorship, and promote liberty.
|
||||
|
||||
Leveraging Tor (The Onion Router), Tails keeps all communications secure and private and promises to leave no trace on any computer after it’s used. It performs disk encryption with LUKS, protects instant messages with OTR, encrypts Web traffic with the Tor Browser and HTTPS Everywhere, and securely deletes files via Nautilus Wipe. Tails even has an office suite, image editor, and the like.
|
||||
|
||||
Now, it's always possible to be traced while using any system if you're not careful, so be vigilant when using Tails and follow good privacy practices, like turning off JavaScript while using Tor. And be aware that Tails isn't necessarily going to be speedy, even while using a fiber connect, but that's what you pay for anonymity.
|
||||
|
||||
-- Victor R. Garza
|
||||
|
||||
|
||||
|
||||
### Read about more open source winners ###
|
||||
|
||||
InfoWorld's Best of Open Source Awards for 2014 celebrate more than 100 open source projects, from the bottom of the stack to the top. Follow these links to more open source winners:
|
||||
|
||||
[Bossie Awards 2015: The best open source applications][21]
|
||||
|
||||
[Bossie Awards 2015: The best open source application development tools][22]
|
||||
|
||||
[Bossie Awards 2015: The best open source big data tools][23]
|
||||
|
||||
[Bossie Awards 2015: The best open source data center and cloud software][24]
|
||||
|
||||
[Bossie Awards 2015: The best open source desktop and mobile software][25]
|
||||
|
||||
[Bossie Awards 2015: The best open source networking and security software][26]
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
via: http://www.infoworld.com/article/2982630/open-source-tools/bossie-awards-2015-the-best-open-source-desktop-and-mobile-software.html
|
||||
|
||||
作者：[InfoWorld staff][a]
|
||||
译者：[译者ID](https://github.com/译者ID)
|
||||
校对：[校对者ID](https://github.com/校对者ID)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]:http://www.infoworld.com/author/InfoWorld-staff/
|
||||
[1]:https://www.libreoffice.org/download/libreoffice-fresh/
|
||||
[2]:http://lwn.net/Articles/637735/
|
||||
[3]:https://www.mozilla.org/en-US/firefox/new/
|
||||
[4]:https://nakedsecurity.sophos.com/2015/06/24/not-ok-google-privacy-advocates-take-on-the-chromium-team-and-win/
|
||||
[5]:https://www.mozilla.org/en-US/thunderbird/
|
||||
[6]:https://notepad-plus-plus.org/
|
||||
[7]:http://www.videolan.org/vlc/index.html
|
||||
[8]:http://www.videolan.org/press/vlc-2.2.0.html
|
||||
[9]:http://www.7-zip.org/
|
||||
[10]:https://handbrake.fr/
|
||||
[11]:http://keepass.info/
|
||||
[12]:http://www.infoworld.com/article/2931753/open-source-software/sourceforge-the-end-cant-come-too-soon.html
|
||||
[13]:https://www.virtualbox.org/
|
||||
[14]:https://inkscape.org/en/download/windows/
|
||||
[15]:http://www.keepassdroid.com/
|
||||
[16]:http://preyproject.com/
|
||||
[17]:https://www.torproject.org/docs/android.html.en
|
||||
[18]:https://guardianproject.info/apps/orweb/
|
||||
[19]:https://guardianproject.info/apps/chatsecure/
|
||||
[20]:https://tails.boum.org/
|
||||
[21]:http://www.infoworld.com/article/2982622/bossie-awards-2015-the-best-open-source-applications.html
|
||||
[22]:http://www.infoworld.com/article/2982920/bossie-awards-2015-the-best-open-source-application-development-tools.html
|
||||
[23]:http://www.infoworld.com/article/2982429/bossie-awards-2015-the-best-open-source-big-data-tools.html
|
||||
[24]:http://www.infoworld.com/article/2982923/bossie-awards-2015-the-best-open-source-data-center-and-cloud-software.html
|
||||
[25]:http://www.infoworld.com/article/2982630/bossie-awards-2015-the-best-open-source-desktop-and-mobile-software.html
|
||||
[26]:http://www.infoworld.com/article/2982962/bossie-awards-2015-the-best-open-source-networking-and-security-software.html
|
||||
@ -0,0 +1,162 @@
|
||||
Bossie Awards 2015: The best open source networking and security software
|
||||
================================================================================
|
||||
InfoWorld's top picks of the year among open source tools for building, operating, and securing networks
|
||||
|
||||
|
||||
|
||||
### The best open source networking and security software ###
|
||||
|
||||
BIND, Sendmail, OpenSSH, Cacti, Nagios, Snort -- open source software seems to have been invented for networks, and many of the oldies and goodies are still going strong. Among our top picks in the category this year, you'll find a mix of stalwarts, mainstays, newcomers, and upstarts perfecting the arts of network management, security monitoring, vulnerability assessment, rootkit detection, and much more.
|
||||
|
||||
|
||||
|
||||
### Icinga 2 ###
|
||||
|
||||
Icinga began life as a fork of system monitoring application Nagios. [Icinga 2][1] was completely rewritten to give users a modern interface, support for multiple databases, and an API to integrate numerous extensions. With out-of-the-box load balancing, notifications, and configuration, Icinga 2 shortens the time to installation for complex environments. Icinga 2 supports Graphite natively, giving administrators real-time performance graphing without any fuss. But what puts Icinga back on the radar this year is its release of Icinga Web 2, a graphical front end with drag-and-drop customizable dashboards and streamlined monitoring tools.
|
||||
|
||||
Administrators can view, filter, and prioritize problems, while keeping track of which actions have already been taken. A new matrix view lets administrators view hosts and services on one page. You can view events over a particular time period or filter incidents to understand which ones need immediate attention. Icinga Web 2 may boast a new interface and zippier performance, but all the usual commands from Icinga Classic and Icinga Web are still available. That means there is no downtime trying to learn a new version of the tool.
|
||||
|
||||
-- Fahmida Rashid
|
||||
|
||||
|
||||
|
||||
### Zenoss Core ###
|
||||
|
||||
Another open source stalwart, [Zenoss Core][2] gives network administrators a complete, one-stop solution for tracking and managing all of the applications, servers, storage, networking components, virtualization tools, and other elements of an enterprise infrastructure. Administrators can make sure the hardware is running efficiently and take advantage of the modular design to plug in ZenPacks for extended functionality.
|
||||
|
||||
Zenoss Core 5, released in February of this year, takes the already powerful tool and improves it further, with an enhanced user interface and expanded dashboard. The Web-based console and dashboards were already highly customizable and dynamic, and the new version now lets administrators mash up multiple component charts onto a single chart. Think of it as the tool for better root cause and cause/effect analysis.
|
||||
|
||||
Portlets give additional insights for network mapping, device issues, daemon processes, production states, watch lists, and event views, to name a few. And new HTML5 charts can be exported outside the tool. The Zenoss Control Center allows out-of-band management and monitoring of all Zenoss components. Zenoss Core has new tools for online backup and restore, snapshots and rollbacks, and multihost deployment. Even more important, deployments are faster with full Docker support.
|
||||
|
||||
-- Fahmida Rashid
|
||||
|
||||
|
||||
|
||||
### OpenNMS ###
|
||||
|
||||
An extremely flexible network management solution, [OpenNMS][3] can handle any network management task, whether it's device management, application performance monitoring, inventory control, or events management. With IPv6 support, a robust alerts system, and the ability to record user scripts to test Web applications, OpenNMS has everything network administrators and testers need. OpenNMS has become, as now a mobile dashboard, called OpenNMS Compass, lets networking pros keep an eye on their network even when they're out and about.
|
||||
|
||||
The iOS version of the app, which is available on the [iTunes App Store][4], displays outages, nodes, and alarms. The next version will offer additional event details, resource graphs, and information about IP and SNMP interfaces. The Android version, available on [Google Play][5], displays network availability, outages, and alarms on the dashboard, as well as the ability to acknowledge, escalate, or clear alarms. The mobile clients are compatible with OpenNMS Horizon 1.12 or greater and OpenNMS Meridian 2015.1.0 or greater.
|
||||
|
||||
-- Fahmida Rashid
|
||||
|
||||
|
||||
|
||||
### Security Onion ###
|
||||
|
||||
Like an onion, network security monitoring is made of many layers. No single tool will give you visibility into every attack or show you every reconnaissance or foot-printing session on your company network. [Security Onion][6] bundles scores of proven tools into one handy Ubuntu distro that will allow you to see who's inside your network and help keep the bad guys out.
|
||||
|
||||
Whether you're taking a proactive approach to network security monitoring or following up on a potential attack, Security Onion can assist. Consisting of sensor, server, and display layers, the Onion combines full network packet capture with network-based and host-based intrusion detection, and it serves up all of the various logs for inspection and analysis.
|
||||
|
||||
The star-studded network security toolchain includes Netsniff-NG for packet capture, Snort and Suricata for rules-based network intrusion detection, Bro for analysis-based network monitoring, OSSEC for host intrusion detection, and Sguil, Squert, Snorby, and ELSA (Enterprise Log Search and Archive) for display, analysis, and log management. It’s a carefully vetted collection of tools, all wrapped in a wizard-driven installer and backed by thorough documentation, that can help you get from zero to monitoring as fast as possible.
|
||||
|
||||
-- Victor R. Garza
|
||||
|
||||
|
||||
|
||||
Kali Linux
|
||||
|
||||
The team behind [Kali Linux][7] revamped the popular security Linux distribution this year to make it faster and even more versatile. Kali sports a new 4.0 kernel, improved hardware and wireless driver support, and a snappier interface. The most popular tools are easily accessible from a dock on the side of the screen. The biggest change? Kali Linux is now a rolling distribution, with a continuous stream of software updates. Kali's core system is based on Debian Jessie, and the team will pull packages continuously from Debian Testing, while continuing to add new Kali-flavored features on top.
|
||||
|
||||
The distribution still comes jam-packed with tools for penetration testing, vulnerability analysis, security forensics, Web application analysis, wireless networking and assessment, reverse engineering, and exploitation tools. Now the distribution has an upstream version checking system that will automatically notify users when updates are available for the individual tools. The distribution also features ARM images for a range of devices, including Raspberry Pi, Chromebook, and Odroids, as well as updates to the NetHunter penetration testing platform that runs on Android devices. There are other changes too: Metasploit Community/Pro is no longer included, because Kali 2.0 is not yet [officially supported by Rapid7][8].
|
||||
|
||||
-- Fahmida Rashid
|
||||
|
||||
|
||||
|
||||
### OpenVAS ###
|
||||
|
||||
[OpenVAS][9], the Open Vulnerability Assessment System, is a framework that combines multiple services and tools to offer vulnerability scanning and vulnerability management. The scanner is coupled with a weekly feed of network vulnerability tests, or you can use a feed from a commercial service. The framework includes a command-line interface (so it can be scripted) and an SSL-secured, browser-based interface via the [Greenbone Security Assistant][10]. OpenVAS accommodates various plug-ins for additional functionality. Scans can be scheduled or run on-demand.
|
||||
|
||||
Multiple OpenVAS installations can be controlled through a single master, which makes this a scalable vulnerability assessment tool for enterprises. The project is as compatible with standards as can be: Scan results and configurations are stored in a SQL database, where they can be accessed easily by external reporting tools. Client tools access the OpenVAS Manager via the XML-based stateless OpenVAS Management Protocol, so security administrators can extend the functionality of the framework. The software can be installed from packages or source code to run on Windows or Linux, or downloaded as a virtual appliance.
|
||||
|
||||
-- Matt Sarrel
|
||||
|
||||
|
||||
|
||||
### OWASP ###
|
||||
|
||||
[OWASP][11], the Open Web Application Security Project, is a nonprofit organization with worldwide chapters focused on improving software security. The community-driven organization provides test tools, documentation, training, and almost anything you could imagine that’s related to assessing software security and best practices for developing secure software. Several OWASP projects have become valuable components of many a security practitioner's toolkit:
|
||||
|
||||
[ZAP][12], the Zed Attack Proxy Project, is a penetration test tool for finding vulnerabilities in Web applications. One of the design goals of ZAP was to make it easy to use so that developers and functional testers who aren't security experts can benefit from using it. ZAP provides automated scanners and a set of manual test tools.
|
||||
|
||||
The [Xenotix XSS Exploit Framework][13] is an advanced cross-site scripting vulnerability detection and exploitation framework that runs scans within browser engines to get real-world results. The Xenotix Scanner Module uses three intelligent fuzzers, and it can run through nearly 5,000 distinct XSS payloads. An API lets security administrators extend and customize the exploit toolkit.
|
||||
|
||||
[O-Saft][14], or the OWASP SSL advanced forensic tool, is an SSL auditing tool that shows detailed information about SSL certificates and tests SSL connections. This command-line tool can run online or offline to assess SSL security such as ciphers and configurations. O-Saft provides built-in checks for common vulnerabilities, and you can easily extend these through scripting. In May 2015 a simple GUI was added as an optional download.
|
||||
|
||||
[OWTF][15], the Offensive Web Testing Framework, is an automated test tool that follows OWASP testing guidelines and the NIST and PTES standards. The framework uses both a Web UI and a CLI, and it probes Web and application servers for common vulnerabilities such as improper configuration and unpatched software.
|
||||
|
||||
-- Matt Sarrel
|
||||
|
||||
|
||||
|
||||
### BeEF ###
|
||||
|
||||
The Web browser has become the most common vector for attacks against clients. [BeEF][15], the Browser Exploitation Framework Project, is a widely used penetration tool to assess Web browser security. BeEF helps you expose the security weaknesses of client systems using client-side attacks launched through the browser. BeEF sets up a malicious website, which security administrators visit from the browser they want to test. BeEF then sends commands to attack the Web browser and use it to plant software on the client machine. Administrators can then launch attacks on the client machine as if they were zombies.
|
||||
|
||||
BeEF comes with commonly used modules like a key logger, a port scanner, and a Web proxy, plus you can write your own modules or send commands directly to the zombified test machine. BeEF comes with a handful of demo Web pages to help you get started and makes it very easy to write additional Web pages and attack modules so you can customize testing to your environment. BeEF is a valuable test tool for assessing browser and endpoint security and for learning how browser-based attacks are launched. Use it to put together a demo to show your users how malware typically infects client devices.
|
||||
|
||||
-- Matt Sarrel
|
||||
|
||||
|
||||
|
||||
### Unhide ###
|
||||
|
||||
[Unhide][16] is a forensic tool that locates open TCP/UDP ports and hidden process on UNIX, Linux, and Windows. Hidden ports and processes can be the result of rootkit or LKM (loadable kernel module) activity. Rootkits can be difficult to find and remove because they are designed to be stealthy, hiding themselves from the OS and user. A rootkit can use LKMs to hide its processes or impersonate other processes, allowing it to run on machines undiscovered for a long time. Unhide can provide the assurance that administrators need to know their systems are clean.
|
||||
|
||||
Unhide is really two separate scripts: one for processes and one for ports. The tool interrogates running processes, threads, and open ports and compares this info to what's registered with the system as active, reporting discrepancies. Unhide and WinUnhide are extremely lightweight scripts that run from the command line to produce text output. They're not pretty, but they are extremely useful. Unhide is also included in the [Rootkit Hunter][17] project.
|
||||
|
||||
-- Matt Sarrel
|
||||
|
||||
|
||||
|
||||
Read about more open source winners
|
||||
|
||||
InfoWorld's Best of Open Source Awards for 2014 celebrate more than 100 open source projects, from the bottom of the stack to the top. Follow these links to more open source winners:
|
||||
|
||||
[Bossie Awards 2015: The best open source applications][18]
|
||||
|
||||
[Bossie Awards 2015: The best open source application development tools][19]
|
||||
|
||||
[Bossie Awards 2015: The best open source big data tools][20]
|
||||
|
||||
[Bossie Awards 2015: The best open source data center and cloud software][21]
|
||||
|
||||
[Bossie Awards 2015: The best open source desktop and mobile software][22]
|
||||
|
||||
[Bossie Awards 2015: The best open source networking and security software][23]
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
||||
via: http://www.infoworld.com/article/2982962/open-source-tools/bossie-awards-2015-the-best-open-source-networking-and-security-software.html
|
||||
|
||||
作者：[InfoWorld staff][a]
|
||||
译者：[译者ID](https://github.com/译者ID)
|
||||
校对：[校对者ID](https://github.com/校对者ID)
|
||||
|
||||
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
|
||||
|
||||
[a]:http://www.infoworld.com/author/InfoWorld-staff/
|
||||
[1]:https://www.icinga.org/icinga/icinga-2/
|
||||
[2]:http://www.zenoss.com/
|
||||
[3]:http://www.opennms.org/
|
||||
[4]:https://itunes.apple.com/us/app/opennms-compass/id968875097?mt=8
|
||||
[5]:https://play.google.com/store/apps/details?id=com.opennms.compass&hl=en
|
||||
[6]:http://blog.securityonion.net/p/securityonion.html
|
||||
[7]:https://www.kali.org/
|
||||
[8]:https://community.rapid7.com/community/metasploit/blog/2015/08/12/metasploit-on-kali-linux-20
|
||||
[9]:http://www.openvas.org/
|
||||
[10]:http://www.greenbone.net/
|
||||
[11]:https://www.owasp.org/index.php/Main_Page
|
||||
[12]:https://www.owasp.org/index.php/OWASP_Zed_Attack_Proxy_Project
|
||||
[13]:https://www.owasp.org/index.php/O-Saft
|
||||
[14]:https://www.owasp.org/index.php/OWASP_OWTF
|
||||
[15]:http://www.beefproject.com/
|
||||
[16]:http://www.unhide-forensics.info/
|
||||
[17]:http://www.rootkit.nl/projects/rootkit_hunter.html
|
||||
[18]:http://www.infoworld.com/article/2982622/bossie-awards-2015-the-best-open-source-applications.html
|
||||
[19]:http://www.infoworld.com/article/2982920/bossie-awards-2015-the-best-open-source-application-development-tools.html
|
||||
[20]:http://www.infoworld.com/article/2982429/bossie-awards-2015-the-best-open-source-big-data-tools.html
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[21]:http://www.infoworld.com/article/2982923/bossie-awards-2015-the-best-open-source-data-center-and-cloud-software.html
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[22]:http://www.infoworld.com/article/2982630/bossie-awards-2015-the-best-open-source-desktop-and-mobile-software.html
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[23]:http://www.infoworld.com/article/2982962/bossie-awards-2015-the-best-open-source-networking-and-security-software.html
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