🔥 horizontally-scalable, highly-available, multi-tenant continuous profiling aggregation system
Grafana Phlare
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.