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[手动选题][news]: 20221103.5 ⭐️ Grafana Phlare is a New Scalable Open-Source Database to Enhance Observability.md
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[#]: subject: "Grafana Phlare is a New Scalable Open-Source Database to Enhance Observability"
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[#]: via: "https://news.itsfoss.com/grafana-phlare/"
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[#]: author: "Sourav Rudra https://news.itsfoss.com/author/sourav/"
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[#]: collector: "lkxed"
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[#]: translator: " "
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[#]: reviewer: " "
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[#]: publisher: " "
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[#]: url: " "
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Grafana Phlare is a New Scalable Open-Source Database to Enhance Observability
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======
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Grafana Phlare aims to be a scalable, durable, cheap, and open-source database for continuous profiling data.
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![Grafana Phlare is a New Scalable Open-Source Database to Enhance Observability][1]
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[Grafana][2] is a popular open-source data visualization tool that supports various object storage and cloud services.
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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.
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### Open Source Database for Continuous Profiling
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![Introducing Grafana Phlare][3]
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Credits: Grafana Labs
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> 💡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.
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Grafana Phlare is a highly scalable database that aims to provide users with a long-term storage solution for continuous profiling data.
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The core features involve:
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- **Easy to install**
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- **Horizontal scalability**
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- **High availability**
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- **Cheap, durable profile storage**
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- **Natively multi-tenant (enabling independent teams to share the same database)**
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You would say that: there are already a few similar open-source projects. And you wouldn't be wrong.
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But, the team behind Phlare mentioned that those tools were not reliable or scalable enough to meet Grafana Labs' continuous profiling needs.
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> 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
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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.
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Also, Cyril mentions that Grafana Phlare is incredibly easy to install:
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> It’s easy to install with just one binary and no additional dependencies, just like [Prometheus][7].
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![grafana phlare][8]
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Credits: Grafana Labs
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**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.
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To complement Phlare, the team also added a new Flame graph panel to better visualize system resources data via various data sources.
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![grafana phlare flame graph panel][9]
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Credits: Grafana Labs
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**As a bonus**, Grafana also announced a data source plugin for another open-source continuous profiler called '[Parca][10]'.
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### 👨💻 Try Grafana Phlare
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Grafana Phlare is made available as a single binary and can be procured from the official [GitHub repository][11].
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You may want to review its [official documentation][12] to learn more about it.
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--------------------------------------------------------------------------------
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via: https://news.itsfoss.com/grafana-phlare/
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作者：[Sourav Rudra][a]
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选题：[lkxed][b]
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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]: https://news.itsfoss.com/author/sourav/
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[b]: https://github.com/lkxed
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[1]: https://news.itsfoss.com/content/images/size/w1200/2022/11/grafana-phlare-opensource-scalable-db.png
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[2]: https://grafana.com/grafana/
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[3]: https://player.vimeo.com/video/766320003?h=8c877d70d4&app_id=122963
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[4]: https://aws.amazon.com/s3/
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[5]: https://cloud.google.com/storage
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[6]: https://github.com/openstack/swift
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[7]: https://grafana.com/oss/prometheus/?pg=blog&plcmt=body-txt
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[8]: https://news.itsfoss.com/content/images/2022/11/Grafana-2.png
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[9]: https://news.itsfoss.com/content/images/2022/11/Grafana.png
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[10]: https://www.parca.dev
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[11]: https://github.com/grafana/phlare
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[12]: https://grafana.com/docs/phlare/latest/
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