API observability middleware for Node.js microservices, tracing calls and monitoring performance, health, and usage statistics.
swagger-stats is an API observability middleware for Node.js microservices that traces API calls and monitors performance, health, and usage statistics. It collects detailed metrics per API operation, helps identify problematic endpoints, and provides insights into error patterns and request trends. The tool integrates with Prometheus for alerting and Elasticsearch for deep analytics.
Node.js developers and DevOps engineers building or maintaining microservices who need to monitor API performance, debug issues, and analyze usage patterns without heavy infrastructure dependencies.
Developers choose swagger-stats for its zero-configuration built-in telemetry UI, seamless integration with popular monitoring stacks like Prometheus and Elasticsearch, and framework-agnostic support across Express, Fastify, Koa, Hapi, and Restify.
API Observability. Trace API calls and Monitor API performance, health and usage statistics in Node.js Microservices.
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Provides a built-in web interface accessible at /swagger-stats/ for real-time monitoring without external tools, as demonstrated in the README with a GIF showing live API stats.
Exposes API metrics in Prometheus format for seamless integration with Grafana dashboards and alerting, with example dashboards provided in the repository.
Stores detailed request/response data in Elasticsearch, enabling deep analysis and visualization in Kibana, and includes pre-built Kibana dashboards in the dashboards folder.
Works with Express, Fastify, Koa, Hapi, and Restify, making it versatile for various Node.js microservice architectures, with code examples for each in the README.
Matches API requests to operations defined in Swagger specifications for accurate per-operation statistics, enhancing monitoring precision without manual configuration.
Traces every API request and response, which can add latency and increase resource usage, potentially impacting application performance under high traffic loads.
For full analytics and alerting, it requires external systems like Elasticsearch and Prometheus, adding setup complexity and maintenance overhead beyond the built-in UI.
Relies on prom-client as a peer dependency, which can cause installation conflicts and require careful version management, as highlighted in the installation notes with specific version requirements.
Focuses solely on REST APIs and does not support other protocols like WebSockets or gRPC, limiting its applicability in diverse API ecosystems.