Best Practices for Measuring Your Code Pipeline

In recent years, New Relic has faced challenges in ramping up release frequency without compromising quality. To solve this, they've adopted a microservices architecture and DevOps methodologies, which allowed them to increase deployment frequency from 20-70 times per day. However, this transformation required another critical capability: automating the code pipeline process. New Relic's approach emphasizes measuring and monitoring the pipeline to push changes to production with less risk. The company uses its platform to provide measurement, monitoring, and alerting capabilities that enable teams to identify and fix issues efficiently. By applying best practices such as capturing timestamped state changes, analyzing unit test results, and tracking successful deployments, teams can gain visibility and control over their code pipeline, accelerate development at scale, and deliver quality software.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.