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DeepFlow

Observability
Open source · Apache-2.0

DeepFlow leverages eBPF to collect signals such as performance metrics, distributed tracing, and CPU & GPU profiling. Its goal is to provide zero-code observability for complex cloud-native and AI applications, particularly those involving LLM training and inference using frameworks like PyTorch.

updated 2026-07-01
Profile in progress

An in-depth, engineer-to-engineer profile for DeepFlowis being written. For now, see the factual signals in the sidebar and the project's own resources.