Grafana Phlare is an open source software project for aggregating continuous profiling data. Continuous profiling is an observability signal that allows you to understand your workload's resources (CPU, memory, etc...) usage down to the exact lines of code.
Grafana Phlare is fully integrated with Grafana allowing you to correlate with other observability signals, like metrics, logs, and traces.
Core features of Grafana Phlare include:
- Easy to install: Using its monolithic mode, you can get Grafana Phlare up and running with just one binary and no additional dependencies. On Kubernetes a single helm chart allows to deploy in different mode.
- Horizontal scalability: You can run Grafana Phlare across multiple machines, which makes it effortless for you to scale the database to handle the profiling volumes your workload generates.
- High availability: Grafana Phlare replicates incoming profiles, ensuring that no data is lost in the event of machine failure. This means you can rollout without interrupting profiles ingestion and analysis.
- Cheap, durable profile storage: Grafana Phlare uses object storage for long-term data storage, allowing it to take advantage of this ubiquitous, cost-effective, high-durability technology. It is compatible with multiple object store implementations, including AWS S3, Google Cloud Storage, Azure Blob Storage, OpenStack Swift, as well as any S3-compatible object storage.
- Natively multi-tenant: Grafana Phlare's multi-tenant architecture enables you to isolate data and queries from independent teams or business units, making it possible for these groups to share the same database.
For information about how to deploy Grafana Phlare, refer to Deploy Grafana Phlare.
If you’re new to Grafana Phlare, read the Getting started guide.
Before deploying Grafana Phlare in a production environment, read:
Refer to the following links to access Grafana Phlare documentation:
- Latest release
- Upcoming release, at the tip of the main branch
To contribute to Grafana Phlare, refer to Contributing to Grafana Phlare.
If you have any questions or feedback regarding Grafana Phlare, join the Grafana Phlare Discussion. Alternatively, consider joining the monthly Grafana Phlare Community Call.
Your feedback is always welcome, and you can also share it via the #phlare Slack channel.
Grafana Phlare is distributed under AGPL-3.0-only.