Performance

Performance

An index and topic collection covering API and web performance, including load testing, performance benchmarking, real user monitoring (RUM), Core Web Vitals measurement, latency profiling, distributed tracing, and application performance monitoring (APM). Performance engineering ensures that APIs and web applications meet latency, throughput, and reliability expectations under realistic and adversarial load. This collection brings together open-source load generators like k6, Apache JMeter, Locust, Gatling, and Artillery; managed load and chaos platforms like StormForge and Speedscale; synthetic and real-user measurement tools like Google PageSpeed, Pingdom, and Akamai; and APM and tracing platforms like Datadog, New Relic, Dynatrace, AppDynamics, Sentry, Honeycomb, Instana, Lightstep, SigNoz, Uptrace, OpenTelemetry, Jaeger, Grafana Tempo, Google Cloud Profiler, Google Cloud Trace, and AWS X-Ray.

articleAll API Stories

36 stories relevant to Performance, pulled from across the API Evangelist network blog feeds.

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dcc-mcp-core 0.20.23

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Optimizing Vitally for AI Copilot and MCP

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Vitally MCP Server

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Vitally MCP Server (Beta)

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How We Optimized Opik’s MCP Server for Cost & Performance

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Meet the Commerce Layer Core MCP

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January MCP Core Maintainer Update

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MCP Apps: Extending servers with interactive user interfaces

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