Apache SkyWalking

Health v2 · maintenance only

Adoption not part of the score

24968 stars · 6632 forks observed · 2026-10-07

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-12, confidence 0.97

Apache SkyWalking is an open‑source Application Performance Monitoring (APM) platform designed for cloud‑native, microservice, and container environments. It provides end‑to‑end distributed tracing, metrics, logs, profiling, and AI‑enhanced alerting.

Use cases

• monitor latency and error rates of microservices in a Kubernetes cluster
• trace requests across multiple languages and frameworks to diagnose performance bottlenecks
• collect and visualize metrics, logs, and traces from a service mesh deployment
• profile CPU and network usage of applications using eBPF agents
• set up AI‑driven anomaly detection and automatic alert baselines

When to choose

• You need a single platform that unifies tracing, metrics, logs, and profiling for distributed systems
• Your environment spans multiple languages (Java, Go, Node.js, Python, etc.) and you want native agents for each
• You run on Kubernetes or other container orchestration platforms and require high scalability (hundreds of billions of telemetry points)
• You want built‑in AI/ML capabilities for anomaly detection and intelligent alerting

When to avoid

• You only need simple metric collection without tracing or log correlation
• Your stack is limited to a single language and you prefer a lightweight, language‑specific exporter
• You require a fully managed SaaS APM solution with zero operational overhead

Facets

application · maturity active

monitoring tracing logging alerting benchmarking monitoring microservices windows cloud self-hosted apm service-mesh ebpf ai-powered distributed-tracing banyandb horizon-ui cloud-native devops ai-observability linux macos docker kubernetes

Member repositories

For agents

markdown · JSON · MCP: product_card(name="apache/skywalking")