optimization▌

Identify and quantify Azure cost savings through resource analysis, utilization metrics, and actionable optimization recommendations. \n \n Discovers orphaned resources (unattached disks, unused NICs, idle gateways) and over-provisioned services using Azure Quick Review scans \n Queries actual costs from Azure Cost Management API and utilization data from Azure Monitor to support rightsizing recommendations \n Generates prioritized optimization reports with estimated savings, validated pricing,

Production patterns for optimizing Apache Spark jobs including partitioning strategies, memory management, shuffle optimization, and performance tuning.

Production patterns for Bazel in large-scale monorepos.

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.

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.