Jan 19
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This video is the final episode in my GitOps series, where we focus on observability and why it is essential for operating GitOps and Kubernetes systems in production. In this episode, I explain what observability really means and how it goes beyond just monitoring. We connect observability to GitOps by showing how logs, metrics, and tracing help us understand application health, deployment behavior, and system performance. You will see how GitOps depends on observability to detect failures, configuration drift, and out-of-sync deployments. We walk through practical examples using Kubernetes, including Pod logs, metrics-server, Prometheus-style metrics, and distributed tracing with Jaeger. I also explain how readiness and liveness probes work, how Kubernetes exposes resource status, and how these signals help GitOps operators make correct decisions. By the end of this episode, you will understand how observability helps answer critical GitOps questions such as: Is my application healthy? Is it in sync with Git? Did a recent change improve the system or make it worse? Who changed what, and when? This episode completes the GitOps journey by connecting deployment, automation, and observability into one clear operational picture. 📌 This is the final episode of the GitOps series. 📌 Ideal for DevOps, Platform Engineers, and Kubernetes practitioners. If you found this series useful, don’t forget to like, share, and subscribe for future deep-dive content.