SkyWalking is an open-source Application Performance Monitoring (APM) system designed specifically for microservices, cloud native, and container-based architectures. It provides comprehensive monitoring, tracing, and diagnosing capabilities for distributed systems.
Key features include:
- Distributed Tracing - Offers end-to-end tracing and service topology analysis.
- Multi-Language Support - Agents available for Java, .Net Core, PHP, NodeJS, Golang, LUA, Rust, C++, Client JavaScript, and Python.
- eBPF Integration - Early adoption of eBPF for monitoring Kubernetes deployments.
- High Scalability - Capable of collecting and analyzing over 100 billion telemetry data points from a single cluster.
- Mature Telemetry Ecosystem - Supports metrics, traces, and logs from systems like Zipkin and Prometheus.
- Native APM Database - Utilizes BanyanDB for telemetry data ingestion and analysis.
- Log Management - Supports log formatting and various sampling policies.
- AI-Powered Insights - Leverages machine learning to enhance observability data analysis.
- Alerting Mechanisms - Allows for service-centric alarm rule settings and telemetry data forwarding.
- Live Demo - Offers a live demo with a native UI and Grafana integration.
SkyWalking is utilized by numerous organizations for both research and production purposes, making it a vital tool for enhancing application performance and observability.