deepflowio/deepflow
eBPF Observability - Distributed Tracing and Profiling
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
4 releases in the last 90 days, the latest 11 days ago, with 72 contributors on GitHub.
Gained 23% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides zero-code deep observability for cloud-native and AI applications using eBPF and Wasm for metrics, tracing, logs, and profiling.
- Eliminates manual instrumentation by automatically collecting full stack telemetry with efficient SmartEncoding for scalable storage and querying.
- Use for monitoring and troubleshooting microservices in Kubernetes clusters without modifying application code.
- Use for profiling GPU and CPU functions in AI workloads to identify performance bottlenecks across business, runtime, and kernel layers.
- Use for integrating observability data with Prometheus, OpenTelemetry, and other stacks to unify metrics, traces, and logs with rich metadata.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Instant Observability for Cloud & AI Applications Zero Code, Full Stack, eBPF & Wasm
The DeepFlow open-source project aims to provide deep observability for complex cloud-native and AI applications. DeepFlow implemented Zero Code data collection with eBPF for metrics, distributed tracing, request logs and function profiling, and is further integrated with SmartEncoding to achieve Full Stack correlation and efficient access to all observability data. With DeepFlow, cloud-native and AI applications automatically gain deep observability, removing the heavy burden of developers continually instrumenting code and providing monitoring and diagnostic capabilities covering everything from code to infrastructure for DevOps/SRE teams.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
490+14
Open issues
276+12
Compared with peers in Monitoring
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| ruvnet/RuView | 102.4K | +1.4K | 55 | 6 days ago |
| openobserve/openobserve | 22.8K | +235 | 40 | today |
| cilium/cilium | 25.8K | +52 | 65 | 3 days ago |
| grafana/loki | 29.1K | +42 | 65 | 1 day ago |
| lowlighter/metrics | 17.3K | — | 45 | — |
| deepflowio/deepflow | 4.3K | — | 59 | 11 days ago |
| Category median | 25.8K | +144 | 55 | — |
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