This article covers how Pipeline Performance Profiling helps teams analyze and optimize CI/CD pipeline performance. It breaks down execution into measurable phases and provides insights on resource usage, bottlenecks, and cost efficiency. The tool integrates with existing observability tools, making it easier to track performance trends and identify areas for improvement.

This article explains how to use dbt's defer feature to improve CI/CD pipeline efficiency by only rebuilding modified models instead of the entire project. It covers the setup process, benefits, and potential pitfalls of implementing defer in dbt workflows.

Agoda has integrated GPT into its CI/CD pipeline to optimize SQL stored procedures, significantly reducing the manual effort required for performance analysis and improving approval times for merge requests. By providing actionable insights for performance issues, query refinement, and indexing suggestions, GPT has enhanced the efficiency of database development workflows at Agoda.