Data efficiency

Minimizing data transfer reduces energy consumption across servers, networks, and user devices. Compress images using tools like ImageOptim, TinyPNG, or built-in build processes. Convert images to efficient formats like WebP that maintain quality at smaller sizes. Implement lazy loading so images only download when users scroll to them. These optimizations reduce bandwidth usage and improve load times simultaneously.

Audit API responses to eliminate unnecessary data. Return only the fields clients actually need rather than entire objects. Implement pagination for lists instead of returning thousands of records at once. Use compression for API responses and review your largest, most frequently called endpoints first since optimizing them provides the biggest impact across your user base.

Balance optimization with development velocity by building efficiency into your workflow. Add image compression to build pipelines so it happens automatically. Set payload size budgets for API endpoints and monitor them in code review. Use browser DevTools to identify large transfers during development. Establish performance budgets that include data transfer limits alongside load time targets. Making efficiency automatic prevents regression as new features ship.