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apache / skywalking / 4bd4231b6067ddfe70079754c84d9b121982b2bf
commit4bd4231b6067ddfe70079754c84d9b121982b2bf[log] [tgz]
authormrproliu <741550557@qq.com>Fri Aug 05 10:40:33 2022 +0800
committerGitHub <noreply@github.com>Fri Aug 05 10:40:33 2022 +0800
tree53a7086ae8c68db405750ab0b3c724ad3e7692fd
parent85c09153b5c359b57c0d162ff0cd5128dfd139ba [diff]
Elasticsearch storage support merge all records(without super datasets) indices into one physical index (#9424)
45 files changed
tree: 53a7086ae8c68db405750ab0b3c724ad3e7692fd
  1. .github/
  2. .lift/
  3. .mvn/
  4. apm-checkstyle/
  5. apm-dist/
  6. apm-protocol/
  7. apm-webapp/
  8. changes/
  9. dist-material/
  10. docker/
  11. docs/
  12. oap-server/
  13. oap-server-bom/
  14. test/
  15. tools/
  16. skywalking-ui
  17. .asf.yaml
  18. .dlc.json
  19. .gitignore
  20. .gitmodules
  21. .licenserc.yaml
  22. codeStyle.xml
  23. CONTRIBUTING.md
  24. HEADER
  25. LICENSE
  26. lombok.config
  27. Makefile
  28. mvnw
  29. mvnw.cmd
  30. NOTICE
  31. pom.xml
  32. README.md
README.md

Apache SkyWalking

SkyWalking: an APM(application performance monitor) system, especially designed for microservices, cloud native and container-based architectures.

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Abstract

SkyWalking is an open source APM system, including monitoring, tracing, diagnosing capabilities for distributed system in Cloud Native architecture. The core features are following.

  • Service, service instance, endpoint(URI) metrics analysis
  • Root cause analysis. Profile the code on the runtime powered by in-process agent and ebpf profiler.
  • Service topology map analysis
  • Service instance and endpoint(URI) dependency analysis
  • Slow services and endpoints detecting
  • Performance optimization
  • Distributed tracing and context propagation
  • Database access metrics. Detect slow database access statements(including SQL statements)
  • Message Queue performance and consuming latency monitoring
  • Browser performance monitoring
  • Infrastructure(VM, network, disk etc.) monitoring
  • Collaboration across metrics, traces, and logs
  • Alerting

SkyWalking supports to collect telemetry (metrics, traces, and logs) data from multiple sources and multiple formats, including

  1. Java, .NET Core, NodeJS, PHP, and Python auto-instrument agents.
  2. Go, C++, and Rust SDKs.
  3. Agent profiling for Java and Python.
  4. ebpf profiling for C, C++, Golang, and Rust.
  5. LUA agent especially for Nginx, OpenResty and Apache APISIX.
  6. Browser agent.
  7. Service Mesh Observability. Control plane and data plane.
  8. Metrics system, including Prometheus, OpenTelemetry, Micrometer(Spring Sleuth), Zabbix.
  9. Logs.
  10. Zipkin v1/v2 trace.(No Analysis)

SkyWalking OAP is using the STAM(Streaming Topology Analysis Method) to analysis topology in the tracing based agent scenario for better performance. Read the paper of STAM for more details.

Documentation

NOTICE, SkyWalking 8.0+ uses v3 protocols. They are incompatible with previous releases.

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.

Live Demo

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.
  • Twitter, ASFSkyWalking
  • QQ Group: 901167865(Recommended), 392443393
  • bilibili B站 视频

Our Users

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

License

Apache 2.0 License.