Apache SkyWalking ========== **SkyWalking**: an APM(application performance monitor) system, especially designed for microservices, cloud native and container-based (Docker, Kubernetes, Mesos) architectures. [![GitHub stars](https://img.shields.io/github/stars/apache/skywalking.svg?style=for-the-badge&label=Stars&logo=github)](https://github.com/apache/skywalking) [![Twitter Follow](https://img.shields.io/twitter/follow/asfskywalking.svg?style=for-the-badge&label=Follow&logo=twitter)](https://twitter.com/AsfSkyWalking) [![Maven Central](https://img.shields.io/maven-central/v/org.apache.skywalking/apache-skywalking-apm.svg)](http://skywalking.apache.org/downloads/) [![CI/IT Tests](https://github.com/apache/skywalking/workflows/CI%20AND%20IT/badge.svg?branch=master)](https://github.com/apache/skywalking/actions?query=branch%3Amaster+event%3Apush+workflow%3A%22CI+AND+IT%22) [![E2E Tests](https://github.com/apache/skywalking/workflows/E2E/badge.svg?branch=master)](https://github.com/apache/skywalking/actions?query=branch%3Amaster+event%3Apush+workflow%3AE2E) [![Code Coverage](https://codecov.io/gh/apache/skywalking/branch/master/graph/badge.svg)](https://codecov.io/gh/apache/skywalking/branch/master) # 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](https://thenewstack.io/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. 1. Go agent. 1. LUA agent especially for Nginx, OpenResty. 1. Service Mesh Observability. Support Mixer telemetry. Recommend to use Envoy Access Log Service (ALS) for better performance, first introduced at [KubeCon 2019](https://www.youtube.com/watch?v=tERm39ju9ew). 1. Metrics system, including Prometheus, Spring Sleuth(Micrometer). 1. 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](https://wu-sheng.github.io/STAM/) for more details. # Document Version Series | Version | ----------- | ---------- | 8.x| [8.x dev](docs/README.md)| | | [8.1.0](https://github.com/apache/skywalking/blob/v8.1.0/docs/README.md) | | | [8.0.1](https://github.com/apache/skywalking/blob/v8.0.1/docs/README.md) | NOTICE, SkyWalking 8.0+ uses [v3 protocols](docs/en/protocols/README.md). They are incompatible with previous releases. # Downloads Please head to the [releases page](http://skywalking.apache.org/downloads/) to download a release of Apache SkyWalking. # Code of conduct This project adheres to the Contributor Covenant [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code. Please follow the [REPORTING GUIDELINES](CODE_OF_CONDUCT.md#reporting-guidelines) to report unacceptable behavior. # Live Demo Host in Beijing. Go to [demo](http://122.112.182.72:8080). **Video on youtube.com** [![RocketBot UI](http://img.youtube.com/vi/mfKaToAKl7k/0.jpg)](http://www.youtube.com/watch?v=mfKaToAKl7k) # Screenshot
Dashboard | |
Topology Map | Trace |
SkyWalking enriches the CNCF CLOUD NATIVE Landscape.
Our project enriches the OpenAPM Landscape!