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吴晟 Wu Sheng 9149de2a6e Support multiple linear values and merging p50/75/90/95/99 into percentile (#4214)
* Support new percentile func with new alarm and exporter for this new func.

* Fix e2e and OAL script

* Fix wrong column.

* Fix percentile bug and oal engine bug.

* Update query protocol and add percentile test case

* Support new query

* Adopt GraphQL requirement

* Fix wrong type cast.

* Fix query in H2 and ES.

* Fix docs and comments.

* Fix an e2e compile issue

* Fix javadoc issue and e2e test issue.

* Change CPM to Apdex in TTL test.

* Fix OAL for TTL e2e

* Add metrics query for service percentile.

* Fix OAL engine bug. Method deserialize is not working when more than two field types are IntKeyLongValueHashMap

* Support multiple IntKeyLongValueHashMap fields in remote. About serialize/deserialize methods.

* Fix graphql statement error in e2e.

* Fix serialize not working and add generated serialize/deserialize of percentile into test cases.

* Fix test case format

* Remove generated code test.

* Fix failed e2e test

* Use avg resp time to apdex in the TTL test.

* ADD multiple linear metrics check for endpoint in e2e cluster.

* Support `-` to represent no threshold and doc of alarm about this.

* Move break to right place.

* Fix wrong break(s)

* Fix break and add a test case for multiple values alarm.

* Fix format.

* Add more doc for this new feature and GraphQL query protocol.

Co-authored-by: Jared Tan <jian.tan@daocloud.io>
Co-authored-by: kezhenxu94 <kezhenxu94@163.com>
2020-01-12 22:10:50 +08:00
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README.md

Apache SkyWalking

Sky Walking logo

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
  • 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

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

  1. Java, .NET Core, NodeJS and PHP auto-instrument agents in SkyWalking format
  2. Manual-instrument Go agent in SkyWalking format.
  3. Istio telemetry format
  4. Envoy gRPC Access Log Service (ALS) format in Istio controlled service mesh
  5. Envoy Metrics Service format.
  6. Zipkin v1/v2 format.
  7. Jaeger gRPC format.

Document

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

Dashboard
Topology Map Trace

Compiling project

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Contact Us

  • Submit an issue
  • Mail list: dev@skywalking.apache.org. Mail to dev-subscribe@skywalking.apache.org, follow the reply to subscribe the mail list.
  • Join skywalking channel at Apache Slack. If the link is not working, find the latest one at Apache INFRA WIKI.
  • QQ Group: 392443393(2000/2000, not available), 901167865(available)

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.

Landscapes



  

SkyWalking enriches the CNCF CLOUD NATIVE Landscape.


Our project enriches the OpenAPM Landscape!

License

Apache 2.0 License.