The pod that did not survive Tuesday's deploy

The Vercel AI SDK chatbot deployed on Google Kubernetes Engine (GKE) is experiencing intermittent 500 errors, with about 8% of requests affected following a recent deployment. This issue is attributed to a pod entering a restart loop due to an Out of Memory (OOM) error, caused by a new image that doubled memory usage. The monitoring solution described provides a comprehensive view of the Kubernetes cluster, allowing users to identify problematic pods, nodes, and workloads through sortable metrics. This system integrates with OpenTelemetry to correlate pod metrics with application traces, offering a unified interface to diagnose and address issues efficiently. The setup involves using specific OpenTelemetry collectors and processors, which can be configured through an intuitive setup process, allowing for quick rollback and adjustments to fix errors and complete deployments successfully. The platform supports seamless navigation between cluster metrics and application traces, enhancing the observability and troubleshooting capabilities within Kubernetes environments.