Google Git Google Git
Sign in
apache/skywalking

APM, Application Performance Monitoring System

Mirrored from https://github.com/apache/skywalking.git
Clone this repo:

Branches

More...

Tags

More...
  1. 9a34d11 Group OTLP services from a resource attribute, and keep a service's own topology node (#14153) by Wan Kai · 20 hours ago master
  2. 75192f9 Fix Kong and APISIX latency percentiles treating millisecond histogram buckets as seconds. (#14155) by songzhendong · 2 days ago
  3. 8c8afdf Fix expired records not being dropped on receipt (#14154) by dennis zhuang · 3 days ago
  4. 21f7798 Fix Zabbix agent sample timestamps dropping the sub-second part. (#14151) by songzhendong · 3 days ago
  5. f34b9c7 Name the store holding the span a GenAI evaluation was judged from in traceRef.type (#14152) by 吴晟 Wu Sheng · 3 days ago

Apache SkyWalking

SkyWalking: an APM (Application Performance Monitoring) system, especially designed for microservices, cloud native and container-based architectures.

GitHub stars X Follow

GitHub Release

Abstract

SkyWalking is an open-source APM system that provides monitoring, tracing and diagnosing capabilities for distributed systems in Cloud Native architectures.

  • Distributed Tracing
    • End-to-end distributed tracing. Service topology analysis, service-centric observability and APIs dashboards.
  • Agents for your stack
    • Java, .Net Core, PHP, NodeJS, Golang, LUA, Rust, C++, Client JavaScript and Python agents with active development and maintenance.
  • eBPF early adoption
    • Rover agent works as a monitor and profiler powered by eBPF to monitor Kubernetes deployments and diagnose CPU and network performance.
  • Scaling
    • 100+ billion telemetry data could be collected and analyzed from one SkyWalking cluster.
  • Mature Telemetry Ecosystems Supported
    • Metrics, Traces, and Logs from mature ecosystems are supported, e.g. Zipkin, OpenTelemetry, Prometheus, Zabbix, Fluentd
  • Native APM Database
    • BanyanDB, an observability database, created in 2022, aims to ingest, analyze and store telemetry/observability data.
  • Consistent Metrics Aggregation
    • SkyWalking native meter format and widely known metrics format(OpenTelemetry, Telegraf, Zabbix, e.g.) are processed through the same script pipeline.
  • Log Management Pipeline
    • Support log formatting, extract metrics, various sampling policies through script pipeline in high performance.
  • Alerting and Telemetry Pipelines
    • Support service-centric, deployment-centric, API-centric alarm rule setting. Support forwarding alarms and all telemetry data to 3rd party.
  • AI Power Enabled
    • Machine Learning (ML) and Artificial Intelligence (AI) analyze observability data to identify patterns and enhance capabilities, such as recognizing HTTP URI patterns and automatically calculating metric baselines for intelligent alerting, improving anomaly detection.

Live Demo

Documentation

Downloads

Please head to the releases page to download a release of Apache SkyWalking.

Compiling project

Follow this document.

Code of conduct

This project adheres to the Contributor Covenant code of conduct. By participating, you are expected to uphold this code. Please follow the REPORTING GUIDELINES to report unacceptable behavior.

Contact Us

  • Mail list: dev@skywalking.apache.org. Mail to dev-subscribe@skywalking.apache.org, follow the reply to subscribe the mail list.
  • Send Request to join SkyWalking slack mail to the mail list(dev@skywalking.apache.org), we will invite you in.
  • For Chinese speaker, send [CN] Request to join SkyWalking slack mail to the mail list(dev@skywalking.apache.org), we will invite you in.
  • Twitter, ASFSkyWalking
  • bilibili B站 视频
  • 掘金

Our Users

Hundreds of companies and organizations use SkyWalking for research, production, and commercial purposes. Visit our website to find the user page.

License

Apache 2.0 License.