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Apache SkyWalking

Apache SkyWalking is an open-source Observability Platform (OP) (observability) for distributed systems that provides application performance monitoring, distributed tracing, metrics analysis, and service profiling for cloud-native and traditional architectures.

  • Distributed tracing and context propagation for microservices and cloud-native environments (observability).
  • Application performance monitoring across services, endpoints, and instances (application performance monitoring).
  • Metrics collection, aggregation, and visualization for infrastructure and services (monitoring and metrics).
  • Service mesh and cloud-native observability support through integrations and language agents (cloud-native observability).
  • Pluggable storage, query, and UI layers for observability data analysis and correlation (observability platform).

More About Apache SkyWalking

Apache SkyWalking is an OP (observability) designed for monitoring, tracing, and diagnosing distributed systems, especially microservices, cloud-native applications, and container-based deployments. It addresses challenges in understanding requests that traverse multiple services, runtimes, and network boundaries by collecting and correlating traces, metrics, and logs into a unified analysis and visualization environment.

At its core, SkyWalking offers distributed tracing (tracing) that records end-to-end requests across service calls, RPCs, and messaging layers. Language agents (APM agents) for environments such as Java, .NET, Node.js, PHP, and others attach to applications to intercept requests, propagate context, and report spans and metrics to the backend. SkyWalking supports service, endpoint, and instance-level performance monitoring (application performance monitoring), enabling analysis of latency, throughput, and error rates, as well as topology views that display relationships and call paths between services.

The platform includes a backend collector and analysis engine (observability backend) that receives data from agents, service mesh telemetry, or other integrations, then performs aggregation, sampling, and storage. Storage implementations (data storage) are pluggable and can leverage external systems as documented by the project. A query layer provides APIs for retrieving metrics, traces, and logs, which are visualized through the SkyWalking UI (observability dashboard). The UI supports service graphs, heatmaps, trace views, and metrics dashboards that help operators locate latency hotspots, error sources, and performance anomalies.

SkyWalking integrates with cloud-native and service mesh environments (cloud-native observability) through dedicated receivers and adapters, enabling ingestion of telemetry from mesh data planes and control planes. It supports observability for Kubernetes and container workloads by correlating service-level data with infrastructure metrics when configured with compatible integrations. The project also provides log collection and analysis capabilities (log observability) when log reporters or bridges are configured to send log data into the backend alongside traces and metrics.

Enterprises use Apache SkyWalking to monitor production microservices, APIs, and backend systems (IT operations) and to support Site Reliability Engineering (SRE), DevOps, and platform teams in incident investigation and capacity planning. By linking traces, metrics, and logs, SkyWalking enables root cause exploration across services, dependency analysis, and performance baselining. As a project under The Apache Software Foundation (open-source foundation), SkyWalking follows the foundation’s governance and licensing model, and its extensible architecture allows deployment in varied environments, including on-premises (on-prem) data centers and public cloud platforms.

Within an enterprise technology catalog, Apache SkyWalking fits into categories such as OP, application performance monitoring, distributed tracing, and cloud-native monitoring. It interacts with application runtimes through language agents, with service meshes and gateways through telemetry receivers, and with external storage and visualization components through defined plugins and APIs. This positioning allows organizations to treat SkyWalking as a central observability system that consolidates data from heterogeneous services and infrastructure components.