+++ title = "Apache SkyWalking" linkTitle = "Apache SkyWalking" +++
End-to-end distributed tracing. Service topology analysis, service-centric observability and APIs dashboards.
Java, .Net Core, PHP, NodeJS, Golang, LUA, Rust, C++, Client JavaScript and Python agents with active development and maintenance.
Rover agent works as a monitor and profiler powered by eBPF to monitor Kubernetes deployments and diagnose CPU and network performance.
100+ billion telemetry data could be collected and analyzed from one SkyWalking cluster.
Metrics, Traces, and Logs from mature ecosystems are supported, e.g. Zipkin, OpenTelemetry, Prometheus, Zabbix, Fluentd
BanyanDB, an observability database, created in 2022, aims to ingest, analyze and store telemetry/observability data.
SkyWalking native meter format and widely known metrics format(OpenCensus, OTLP, Telegraf, Zabbix, e.g.) are processed through the same script pipeline.
Support log formatting, extract metrics, various sampling policies through script pipeline in high performance.
Support service-centric, deployment-centric, API-centric alarm rule setting. Support forwarding alarms and all telemetry data to 3rd party.
Machine Learning (ML) and Artificial Intelligence (AI) analyze observability data to identify patterns and enhance capabilities, such as recognizing HTTP URI patterns and automatically calculating metric baselines for intelligent alerting, improving anomaly detection.
Try this demo music application to showcase features of Apache SkyWalking in action.
All releasesFeatures requests, questions or report bugs? Feel free to open a discussion or file an issue.
Send "Request to join SkyWalking slack" mail to dev@skywalking.apache.org. We will invite you in.
For announcement of latest features etc, stay tuned with @ASFSkyWalking.