Automating performance tests

AI summary

This article outlines a methodology for implementing automated performance testing for WebSocket-based services, specifically focusing on the migration of the Supabase Realtime service. It details the challenges of testing persistent connections, provides a comparison between HTTP and WebSocket testing requirements, and presents an infrastructure setup using k6, Terraform, and Prometheus.

Key points

• WebSocket performance testing requires unique considerations, such as managing long-lived connections and server-initiated message handling.
• Load generation for persistent connections is resource-intensive, often requiring distributed infrastructure rather than single-client setups.
• Integrating an observability stack like Prometheus and Grafana is essential for analyzing latency and throughput during high-load tests.
• Infrastructure-as-Code (Terraform) and pre-configured VM images can standardize the environment for repeatable performance benchmarks.