Cloud Native GitLab Runners on Kubernetes: Autoscaling and Observability
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Key Takeaways
This chapter was dense and covered a lot of ground. Throughout the chapter, we achieved several important milestones:
We enabled observability for the CI runners so they emit measurable signals about work being done.
We deployed Prometheus and a Grafana to collect, store, and visualise those signals.
We connected the runners’ metrics to the Prometheus instance so you can see real-time and historical runner activity.
We created a custom metric that represents "how many jobs are being processed" so it can be used for decisions.
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