In this session, we will deep dive into the monitoring of canary deployments on Karpenter-managed Kubernetes clusters. First, we will discuss how to utilize Grafana and Prometheus when aiming to visualize or collect canary metrics respectively. We’ll navigate through the simulation of traffic monitoring and canary metrics for gold standard comparisons, measuring things like error rates and traffic splits. Moreover, we will cover the creation of tailored alerts to increase the efficiency and speed of the decision-revert process of a canary given the correct time period is selected. On a slightly different note, we will also cover Karpenter’s dynamic node management and its effects on monitoring providing you with alternative strategies to maintain consistency across node pools. To wrap everything up, we will showcase numerous real life situations to clarify how these tools can assist in making data driven decisions, increasing the application deployment process and reliability of the application.