Measure Performance of Adonis.js Application

To measure the performance of an Adonis.js application, use a combination of built-in health checks, monitoring tools, request logging, and third-party analytics integrations for a comprehensive view of your app’s efficiency and reliability.

Built-in Health Checks

Adonis.js provides a robust health check system to monitor the application’s environment and operational metrics:

• Memory Usage: Use MemoryRSSCheck and MemoryHeapCheck to watch memory utilization and define custom thresholds for warnings and failures.
• Database Connectivity: Add DbCheck to monitor SQL database connections for latency and failures.
• Disk Space: Use DiskSpaceCheck for monitoring available disk space and caching check results to avoid unnecessary overhead.

Register these checks in your health system and expose them through a /health endpoint for real-time status.

Performance and Request Analytics

• Request Logging & Monitoring: Integrate tools like Apitally to track real-time API metrics, including request volume, response times, error rates, and endpoint-specific analytics.
• Response Time Measurement: Measure latency on each route and identify bottlenecks using custom middleware or analytics platforms.
• Alerting: Set up alerts for performance anomalies such as high error rates, slow endpoints, or application downtime.
• Traffic Analysis: Analyze request patterns to see when and where performance issues or spikes occur.

Optimization and Benchmarking

• Benchmarking: Use external benchmarking tools (e.g., Artillery, ApacheBench) to stress-test endpoints and document throughput and latency under load.
• Profiling: Employ Node.js profilers to analyze CPU and memory consumption during high-traffic scenarios.
• Query Optimization: Optimize database interactions using Adonis.js query builder to reduce unnecessary load and achieve faster response times.

Summary Table

Measurement Area	Adonis.js Built-in	External Options	Example Metrics
Memory & Resource Usage	Health Checks	Node.js profilers	RSS, Heap, CPU, Disk
API Performance & Traffic	Apitally Integration	Datadog, Prometheus	Requests/sec, Latency
Error Tracking	Custom/Error Middleware	Sentry, Apitally	Error rate, Endpoint errors
Benchmarking	Manual, Scripts	Artillery, k6	RPS, Latency under load

Using these tools and techniques, performance measurement in Adonis.js can be both granular and actionable, allowing for rapid troubleshooting and ongoing optimization.