deepflow

Why we included this project

Most observability tools ask you to add SDKs or wrappers to every service, which gets painful in a busy cloud-native stack. DeepFlow skips that by using eBPF to collect metrics, distributed traces, request logs, and function-level profiles automatically, so services in any language get visibility without code changes. That matters especially for GPU and AI workloads, where instrumenting manually is awkward and added overhead is a real concern; DeepFlow can profile CUDA and kernel functions and tie them back to request spans. SRE and DevOps teams get a service map, full-stack golden signals, and flame graphs for tracing bottlenecks from the network up through framework and runtime code. It can also serve as a storage or data source behind Prometheus, OpenTelemetry, or Pyroscope, so it slots into an existing stack instead of forcing a separate toolchain.