Feature Overview

Datadog CI/CD Pipeline Visibility enables platform engineering and DevOps teams to monitor and improve the performance of their CI/CD pipelines. Visualize and alert on key performance & health indicators while correlating with logs across cloud and self-hosted runners in order to quickly find bottlenecks, fix performance issues, and reduce CI/CD costs.

Improve the performance and reliability of your CI pipelines

Proactively monitor key pipeline performance metrics such as execution time and failure rate across your cloud and on-premise CI hosts
Identify and fix slow and high-failure pipelines and jobs with OOTB dashboards and correlation with commit and repo information
Optimize CI infrastructure provisioning and pipeline efficiency with consistent, measurable KPIs across your entire organization

Quickly resolve pre-production slowdowns to maintain development velocity

Track job duration over time and compare with default branch benchmarks to detect performance regressions and prevent them from impacting more developers
Fix pipeline issues faster by correlating performance degradations with relevant commits, error messages, infrastructure metrics, and logs
Proactively monitor and alert on any broken or degrading pipelines, and route alerts to the relevant teams with valuable context

Optimize and evangelize developer experience with data-driven decisions

Visualize pipeline executions and monitor key performance indicators to improve CI/CD workflows and developer experience
Track historical metrics to report on the benefits of parallelizing jobs, reducing queue time, and improving performance
Share performance data across teams with commit-centric views and automatic GitHub comments

Take a data-driven approach to addressing platform engineering challenges

Ship better code, faster with Datadog Software Delivery

Identify, triage, and eliminate existing and new flaky tests before they impact your build pipelines
Block faulty, slow, poorly written, or vulnerable code from merging to main or prod with Quality Gates and Static Analysis
Automatically skip irrelevant tests with Intelligent Test Runner to reduce testing time on feature branches