Tips

Tip: Use HTTP/2 to improve performance with features like multiplexing and header compression. Example: Reason: HTTP/2 provides performance improvements over HTTP/1.1, particularly for applications with many concurrent connections.

Tip: Use environment variables to manage configuration settings for different environments (development, testing, production). Example: Reason: Environment variables provide a flexible way to manage configuration and sensitive data without hardcoding them into your application.

Tip: Properly handle uncaught exceptions and unhandled promise rejections to prevent application crashes. Example: Reason: Helps in managing errors gracefully and avoiding abrupt crashes, though it is often better to fix the root causes of these issues.

Tip: Implement graceful shutdown procedures to ensure ongoing requests are completed before exiting. Example: Reason: Ensures that active connections are properly closed and resources are released before the application exits.

Tip: Use process.hrtime() for accurate timing measurements in your application. Example: Reason: Provides high-resolution time measurements, useful for performance profiling and benchmarking.

Tip: Use the –trace-warnings flag to get detailed stack traces for warnings, which can help diagnose issues more effectively. Example: Reason: Provides more context for warnings that could indicate potential issues in your code.

Tip: Regularly audit and update your dependencies to avoid security vulnerabilities and ensure compatibility. Example: Reason: Keeping dependencies up-to-date helps mitigate security risks and ensures compatibility with newer versions of Node.js.

Tip: Use the cluster module to take advantage of multi-core systems by creating child processes that share the same server port. Example: Reason: Clustering enables better CPU utilization and can handle more concurrent connections by distributing the load.

Tip: Use the worker_threads module to handle CPU-bound tasks by running JavaScript code in parallel threads. Example: Reason: worker_threads allow for parallel processing and can improve performance for CPU-intensive operations.

Tip: Use streams to handle large files or data in chunks rather than loading everything into memory. Example: Reason: Streams help manage memory efficiently and improve performance by processing data incrementally.