optimization▌

Strategies and patterns for optimizing cloud costs across AWS, Azure, and GCP.

Reduce infrastructure costs through intelligent resource allocation, reserved instances, spot instances, and continuous optimization without sacrificing performance.

LLM applications emit spans following OpenInference semantic conventions. Prompts are stored in different span attributes depending on the span kind and instrumentation:

Scope: Optimizing content for AI-powered search engines and answer engines This skill covers strategies for visibility in ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot, and other generative AI platforms.

Profile code execution to identify performance bottlenecks and optimize critical paths using data-driven approaches.

Optimize web performance through Core Web Vitals, modern browser APIs (View Transitions, Speculation Rules), and framework-specific techniques.

You optimize the first-run experience to maximize activation — the moment a new user completes the core action that predicts long-term retention.

Implement performance optimization strategies including lazy loading, code splitting, caching, compression, and monitoring to improve Core Web Vitals and user experience.

Fast API responses improve overall application performance and user experience. Optimization focuses on payload size, caching, and query efficiency.

Load with: base.md + web-content.md + site-architecture.md