Apache SkyWalking

All-in-one APM solution

• Distributed Tracing

  End-to-end distributed tracing. Service topology analysis, service-centric observability and APIs dashboards.

• Agents for your stack

  Java, .Net Core, PHP, NodeJS, Golang, LUA, Rust, C++, Client JavaScript and Python agents with active development and maintenance.

• eBPF early adoption

  Rover agent works as a monitor and profiler powered by eBPF to monitor Kubernetes deployments and diagnose CPU and network performance.

• Scaling

  100+ billion telemetry data could be collected and analyzed from one SkyWalking cluster.

• Mature Telemetry Ecosystems Supported

  Metrics, Traces, and Logs from mature ecosystems are supported, e.g. Zipkin, OpenTelemetry, Prometheus, Zabbix, Fluentd

• Native APM Database

  BanyanDB, an observability database, created in 2022, aims to ingest, analyze and store telemetry/observability data.

• Consistent Metrics Aggregation

  SkyWalking native meter format and widely known metrics format(OpenCensus, OTLP, Telegraf, Zabbix, e.g.) are processed through the same script pipeline.

• Log Management Pipeline

  Support log formatting, extract metrics, various sampling policies through script pipeline in high performance.

• Alerting and Telemetry Pipelines

  Support service-centric, deployment-centric, API-centric alarm rule setting. Support forwarding alarms and all telemetry data to 3rd party.

• AI Power Enabled

  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.