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, 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.
Based on his continuous contributions, Weiyi Liu (a.k.a [wayilau](https://github.com/wayilau)) has been voted as a new committer.
Various companies and organizations use SkyWalking for research, production and commercial products.
The PoweredBy page includes more users of the project.