While Deployments distribute Pods across nodes based on available capacity, DaemonSets ensure that a copy of a specific Pod runs on all (or selected) worker nodes in the cluster. As nodes are added to or removed from the cluster, DaemonSet Pods are added or garbage-collected automatically.
Operating a multi-cluster architecture introduces a massive observability challenge. If a Kratix Pipeline fails, the logs are in the Platform cluster. If the physical database fails, the logs are in the Worker cluster. In this episode, we build a centralized monitoring stack using Prometheus and Grafana.
The Kubernetes and Cloud Native Associate (KCNA) certification tests your foundational understanding of the Cloud Native ecosystem, CNCF project landscape, and Kubernetes control plane mechanics.
Observability allows engineers to infer the internal state of a complex distributed system based on its external outputs. For the KCNA exam, you must understand the Three Pillars of Observability and the CNCF tools that collect them.
