DeepFlow review
A broad open-source platform for application, network, and system observability.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
DeepFlow is an open-source observability platform from Yunshan Networks for cloud infrastructure and cloud-native applications. It uses eBPF and related technologies to collect application metrics, request logs, distributed traces, network data, and continuous profiles without code instrumentation. Its audience includes teams operating Kubernetes, cloud hosts, traditional servers, and mixed environments that need visibility across applications, networks, and systems.
Its ecosystem fit is a central strength. DeepFlow integrates with Prometheus, OpenTelemetry, SkyWalking, Pyroscope, Grafana, and Telegraf, allowing it to connect with established metrics, tracing, profiling, and visualization workflows. It supports hybrid deployment and offers web, Windows, Linux, Android, API, and self-hosted access. Kubernetes support includes resource and custom-label tagging, while Wasm plugins extend protocol analysis. These capabilities make DeepFlow a suitable option for teams that want to relate application behavior to infrastructure and network conditions in one observability approach.
The feature depth is broader than a single tracing or monitoring tool. DeepFlow combines universal service maps, full-stack performance metrics, zero-instrumentation distributed tracing, network performance profiling, TCP flow analysis, and function-level profiling. It supports both network visibility and kernel profiling across Linux, Windows, and Android. Community, Enterprise, and Cloud editions are available, with the Cloud Edition described as being in a testing or beta phase. DeepFlow fits organizations seeking open-source, full-stack visibility and extensibility; teams wanting only a narrowly focused tracing, profiling, or network-analysis product may prefer a more specialized alternative.
DeepFlow pros and cons
- Where it wins
- Zero-instrumentation tracing with universal service maps
- Continuous on-CPU and off-CPU profiling
- Integrations with Prometheus, OpenTelemetry, and Grafana
- Where it doesn't
- Covers a wide scope rather than a narrowly focused workflow
- Cloud Edition is described as testing or beta
- Requires Kubernetes or infrastructure observability needs to justify its breadth
DeepFlow fact sheet, pricing and score →
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