pipeline

In today’s fast-paced world of software development, speed and quality are paramount. Continuous Integration (CI) and Continuous Deployment (CD) pipelines automate the building, testing, and deployment of software, helping teams deliver faster and more reliably. However, as the complexity of development environments increases, ensuring the efficiency and reliability of these pipelines requires more than just automation—it requires pipeline analytics. What is Pipeline Analytics? Pipeline analytics is the practice of collecting, analyzing, and interpreting data from various stages of a CI/CD pipeline. By capturing key metrics such as build times, test results, and deployment success rates, teams can identify bottlenecks, optimize…