SkyWalking is an Observability Analysis Platform and Application Performance Management system.
Provide distributed tracing, service mesh telemetry analysis, metric aggregation and visualization all-in-one solution.
|Consistent in multiple scenarios. supported telemetry sources from language agents and service mesh.||Multiple language agents, Java, .Net Core and NodeJS auto instrument agents.|
|Light. No big data platform required, even observing the high payload cluster.||Modulization. Have multiple options for UI, storage, cluster managements.|
|Alarm supported.||Cool visualization solution.|
Based on his continuous contributions, Han Liu (a.k.a [mrproliu](https://github.com/mrproliu)) has been voted as a new committer.
Based on his continuous contributions, Hongwei Zhai (a.k.a [innerpeacez](https://github.com/innerpeacez)) has been invited to join the PMC. Welcome aboard.
Service Instance dependency detection is available. Support ElasticSearch 7 as a storage option. Reduce the register load.
SkyWalking Chart is used to deploy SkyWalking to Kubernetes cluster.
Various companies and organizations use SkyWalking for research, production and commercial products.
The PoweredBy page includes more users of the project.