How to build CI/CD observability at scale
Blog post from GitLab
GitLab has developed a CI/CD Observability solution to optimize visibility and performance for enterprises using GitLab self-managed instances. This solution, part of GitLab's Platform Excellence program, helps organizations transform raw pipeline metrics into actionable insights, aiding infrastructure investment decisions, bottleneck remediation, and capacity planning. A notable implementation involved a financial services organization collaborating with GitLab's customer success architect to enhance their pipeline visibility through a containerized observability solution using the gitlab-ci-pipelines-exporter, Prometheus, and Grafana. The system provides a comprehensive set of dashboards that offer real-time and historical insights into pipeline performance, job execution, and infrastructure metrics, enabling users to identify performance bottlenecks and optimize resource allocation. Key features include a Pipeline Overview Dashboard, Job Performance Dashboard, Runner & Infrastructure Dashboard, and Deployment Frequency Dashboard, each offering specific insights into different aspects of CI/CD operations. The solution is designed to integrate seamlessly with existing Kubernetes infrastructure, employing a combination of GitLab API, Node Exporter, and Grafana for data visualization, and is tailored to enhance the observability and performance of large-scale CI/CD deployments.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Observability | 29 | 4,900 | 921 | 200 | +5% |
| Kubernetes | 7 | 2,407 | 415 | 121 | -3% |
| Secrets Management | 5 | 1,971 | 393 | 127 | +1% |
| Real-time | 1 | 7,450 | 1,704 | 292 | -47% |
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