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+[#]: 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/