mirror of
https://github.com/LCTT/TranslateProject.git
synced 2025-01-07 22:11:09 +08:00
96 lines
4.4 KiB
Markdown
96 lines
4.4 KiB
Markdown
|
[#]: subject: "Grafana Phlare is a New Scalable Open-Source Database to Enhance Observability"
|
|||
|
|
[#]: via: "https://news.itsfoss.com/grafana-phlare/"
|
|||
|
|
[#]: author: "Sourav Rudra https://news.itsfoss.com/author/sourav/"
|
|||
|
|
[#]: collector: "lkxed"
|
|||
|
|
[#]: translator: " "
|
|||
|
|
[#]: reviewer: " "
|
|||
|
|
[#]: publisher: " "
|
|||
|
|
[#]: url: " "
|
|||
|
|
|
|||
|
|
Grafana Phlare is a New Scalable Open-Source Database to Enhance Observability
|
|||
|
|
======
|
|||
|
|
|
|||
|
|
Grafana Phlare aims to be a scalable, durable, cheap, and open-source database for continuous profiling data.
|
|||
|
|
|
|||
|
|
![Grafana Phlare is a New Scalable Open-Source Database to Enhance Observability][1]
|
|||
|
|
|
|||
|
|
[Grafana][2] is a popular open-source data visualization tool that supports various object storage and cloud services.
|
|||
|
|
|
|||
|
|
To improve on what they offer, Grafana has announced a **new open-source database for continuous profiling data** that helps enhance the monitoring of servers (or your application), making life easier for performance engineers and enterprises.
|
|||
|
|
|
|||
|
|
### Open Source Database for Continuous Profiling
|
|||
|
|
|
|||
|
|
![Introducing Grafana Phlare][3]
|
|||
|
|
|
|||
|
|
Credits: Grafana Labs
|
|||
|
|
|
|||
|
|
> 💡Continuous Profiling is a dynamic method of analyzing key performance metrics of a server, such as CPU utilization, memory usage, and more, at any period of time.
|
|||
|
|
|
|||
|
|
Grafana Phlare is a highly scalable database that aims to provide users with a long-term storage solution for continuous profiling data.
|
|||
|
|
|
|||
|
|
The core features involve:
|
|||
|
|
|
|||
|
|
- **Easy to install**
|
|||
|
|
- **Horizontal scalability**
|
|||
|
|
- **High availability**
|
|||
|
|
- **Cheap, durable profile storage**
|
|||
|
|
- **Natively multi-tenant (enabling independent teams to share the same database)**
|
|||
|
|
|
|||
|
|
You would say that: there are already a few similar open-source projects. And you wouldn't be wrong.
|
|||
|
|
|
|||
|
|
But, the team behind Phlare mentioned that those tools were not reliable or scalable enough to meet Grafana Labs' continuous profiling needs.
|
|||
|
|
|
|||
|
|
> So we decided to get to work creating a database for continuous profiling telemetry, based on the design principles that have made our other open source observability backends, Loki, Tempo, and Mimir, so successful: horizontally scalable architecture and use of object storage.- Cyril Tovena, Software Engineer at Grafana
|
|||
|
|
|
|||
|
|
As for the technical tidbits of Phlare, it uses object storage to store profiling data and supports various object storage services such as[Amazon S3][4], [Google Cloud Storage][5], [OpenStack Swift][6], and more.
|
|||
|
|
|
|||
|
|
Also, Cyril mentions that Grafana Phlare is incredibly easy to install:
|
|||
|
|
|
|||
|
|
> It’s easy to install with just one binary and no additional dependencies, just like [Prometheus][7].
|
|||
|
|
|
|||
|
|
![grafana phlare][8]
|
|||
|
|
|
|||
|
|
Credits: Grafana Labs
|
|||
|
|
|
|||
|
|
**Furthermore**, it can natively integrate with Grafana to show users a detailed view of the whole stack and includes various observability signals such as metrics, logs, and traces.
|
|||
|
|
|
|||
|
|
To complement Phlare, the team also added a new Flame graph panel to better visualize system resources data via various data sources.
|
|||
|
|
|
|||
|
|
![grafana phlare flame graph panel][9]
|
|||
|
|
|
|||
|
|
Credits: Grafana Labs
|
|||
|
|
|
|||
|
|
**As a bonus**, Grafana also announced a data source plugin for another open-source continuous profiler called '[Parca][10]'.
|
|||
|
|
|
|||
|
|
### 👨💻 Try Grafana Phlare
|
|||
|
|
|
|||
|
|
Grafana Phlare is made available as a single binary and can be procured from the official [GitHub repository][11].
|
|||
|
|
|
|||
|
|
You may want to review its [official documentation][12] to learn more about it.
|
|||
|
|
|
|||
|
|
--------------------------------------------------------------------------------
|
|||
|
|
|
|||
|
|
via: https://news.itsfoss.com/grafana-phlare/
|
|||
|
|
|
|||
|
|
作者：[Sourav Rudra][a]
|
|||
|
|
选题：[lkxed][b]
|
|||
|
|
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]: https://news.itsfoss.com/author/sourav/
|
|||
|
|
[b]: https://github.com/lkxed
|
|||
|
|
[1]: https://news.itsfoss.com/content/images/size/w1200/2022/11/grafana-phlare-opensource-scalable-db.png
|
|||
|
|
[2]: https://grafana.com/grafana/
|
|||
|
|
[3]: https://player.vimeo.com/video/766320003?h=8c877d70d4&app_id=122963
|
|||
|
|
[4]: https://aws.amazon.com/s3/
|
|||
|
|
[5]: https://cloud.google.com/storage
|
|||
|
|
[6]: https://github.com/openstack/swift
|
|||
|
|
[7]: https://grafana.com/oss/prometheus/?pg=blog&plcmt=body-txt
|
|||
|
|
[8]: https://news.itsfoss.com/content/images/2022/11/Grafana-2.png
|
|||
|
|
[9]: https://news.itsfoss.com/content/images/2022/11/Grafana.png
|
|||
|
|
[10]: https://www.parca.dev
|
|||
|
|
[11]: https://github.com/grafana/phlare
|
|||
|
|
[12]: https://grafana.com/docs/phlare/latest/
|