Google Git
Sign in
apache / skywalking / 8a25ac6229ebffdfc8baf358a56554cfa1ab6492
commit8a25ac6229ebffdfc8baf358a56554cfa1ab6492[log] [tgz]
authorTomasz Pytel <tompytel@gmail.com>Tue Jun 22 11:05:33 2021 -0300
committerGitHub <noreply@github.com>Tue Jun 22 22:05:33 2021 +0800
tree97e2e6ce24959e6fe1fb38a66c6a039bada16feb
parent1bc69370bfcd3891b0726c219e1ae39b92d8f894 [diff]
Python celery plugin (#7159)
1 file changed
tree: 97e2e6ce24959e6fe1fb38a66c6a039bada16feb
  1. .github/
  2. .muse/
  3. .mvn/
  4. apm-application-toolkit/
  5. apm-checkstyle/
  6. apm-commons/
  7. apm-dist/
  8. apm-dist-es7/
  9. apm-protocol/
  10. apm-sniffer/
  11. apm-webapp/
  12. changes/
  13. dist-material/
  14. docker/
  15. docs/
  16. licenses/
  17. oap-server/
  18. oap-server-bom/
  19. oap-server-bom-es7/
  20. test/
  21. tools/
  22. skywalking-ui
  23. .asf.yaml
  24. .dlc.json
  25. .gitignore
  26. .gitmodules
  27. .licenserc.yaml
  28. CHANGES.md
  29. codeStyle.xml
  30. CONTRIBUTING.md
  31. HEADER
  32. LICENSE
  33. lombok.config
  34. Makefile
  35. mvnw
  36. mvnw.cmd
  37. NOTICE
  38. pom.xml
  39. README.md
README.md

Apache SkyWalking

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

GitHub stars Twitter Follow

Maven Central CI/IT Tests E2E Tests

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 metrics analysis
  • Root cause analysis. Profile the code on the runtime
  • Service topology map analysis
  • Service, service instance and endpoint dependency analysis
  • Slow services and endpoints detected
  • Performance optimization
  • Distributed tracing and context propagation
  • Database access metrics. Detect slow database access statements(including SQL statements)
  • Alarm
  • Browser performance monitoring
  • Infrastructure(VM, network, disk etc.) monitoring
  • Collaboration across metrics, traces, and logs

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 and C++ SDKs.
  3. LUA agent especially for Nginx, OpenResty and Apache APISIX.
  4. Browser agent.
  5. Service Mesh Observability. Control panel and data panel.
  6. Metrics system, including Prometheus, OpenTelemetry, Spring Sleuth(Micrometer), Zabbix.
  7. Logs.
  8. 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

  • Official documentation
  • The paper of STAM, Streaming Topology Analysis Method.
  • Blog about Use Profiling to Fix the Blind Spot of Distributed Tracing
  • Blog about observing Istio + Envoy service mesh with ALS solution.
  • Blog about observing Istio + Envoy service mesh with ALS Metadata-Exchange mechanism (in VMs and / or Kubernetes).

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

Find the demo and screenshots on our website.

Video on youtube.com

RocketBot UI

Contact Us

Our Users

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

Landscapes

License

Apache 2.0 License.