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apache / skywalking / 9a61835cb7d5a6d4ab76dc5a31c4576ae83f5f63
commit9a61835cb7d5a6d4ab76dc5a31c4576ae83f5f63[log] [tgz]
authorjianweizhang <zhangjianweibj@inspur.com>Thu Nov 26 19:14:48 2020 +0800
committerGitHub <noreply@github.com>Thu Nov 26 19:14:48 2020 +0800
treedd49844c51b8ed05b077c524edce323b1e719f95
parent6e0a244482e880200660638cb48ec13fdeccfd29 [diff]
Fix influxdb config resubmit (#5903)
5 files changed
tree: dd49844c51b8ed05b077c524edce323b1e719f95
  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. test/
  19. tools/
  20. skywalking-ui
  21. .asf.yaml
  22. .gitignore
  23. .gitmodules
  24. CHANGES.md
  25. CODE_OF_CONDUCT.md
  26. codeStyle.xml
  27. CONTRIBUTING.md
  28. HEADER
  29. LICENSE
  30. lombok.config
  31. Makefile
  32. mvnw
  33. mvnw.cmd
  34. NOTICE
  35. pom.xml
  36. README.md
README.md

Apache SkyWalking

SkyWalking: an APM(application performance monitor) system, especially designed for microservices, cloud native and container-based (Docker, Kubernetes, Mesos) 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 metrics analysis
  • Root cause analysis. Profile the code on the runtime. Read Apache SkyWalking: Use Profiling to Fix the Blind Spot of Distributed Tracing.
  • 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

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

  1. Java, .NET Core, NodeJS, PHP, and Python auto-instrument agents.
  2. Go agent.
  3. LUA agent especially for Nginx, OpenResty.
  4. Service Mesh Observability. Support Istio telemetry metrics. Recommend to use Envoy Access Log Service (ALS) for better performance, first introduced at KubeCon 2019.
  5. Metrics system, including Prometheus, OpenTelemetry, Spring Sleuth(Micrometer).
  6. Browser application performance, including metrics and error logs.
  7. Zipkin v1/v2 and Jaeger gRPC format with limited topology and metrics analysis.(Experimental).

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.

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

Host in Beijing. Go to demo.

Video on youtube.com

RocketBot UI

Screenshot

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Contact Us

Who Uses SkyWalking?

Hundreds of companies and organizations use SkyWalking for research, production, and commercial product.

The PoweredBy page includes more users of the project. Users are encouraged to add themselves to there.

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License

Apache 2.0 License.