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DevOps & observability · #kubernetes
Learn how to implement K3s High Availability using embedded etcd to eliminate control plane single points of failure and ensure cluster resilience.
Deciding between Docker, Kubernetes, SSH, or native agents in Jenkins impacts your pipeline's isolation and scalability. This guide compares the options and provides a Docker implementation.
Learn how to diagnose why pods stay Pending in IBM Cloud Kubernetes Service when the node‑pool autoscaler fails to scale, with checks for autoscaler status, node‑pool limits, pod requests, and node health.
Learn how K3s uses SQLite and the Kine shim to replace etcd, reducing memory overhead for edge and single-node Kubernetes deployments.
Learn how to add a Helm post‑install hook that runs a one‑time initialization job, verifies its success, and recovers from failures.
Gardener separates management and workload with Seed and Shoot clusters. A declarative Shoot object lets you provision and scale Kubernetes across AWS, Azure and GCP through a provider abstraction and reconciliation loop.
A Gardener shoot stuck in Processing or Error is failing at a specific task in gardenlet's ordered flow. Learn to read lastErrors, check extension CRs in the seed, and fix the actual cause before retrying.
Injection Mode Conflict at the Pod Boundary When deploying workloads into a Traefik Mesh cluster, the sidecar injection behavior is governed by a ClusterMesh resource that defines a cluster-wide or namespace-scoped policy. Individual pods can also carry mesh.* annotations that appear to request a specific injection mode. The documentation does not clearly st
A technical guide for choosing between Local, Celery, and Kubernetes executors in Apache Airflow based on scaling needs, infrastructure constraints, and fault tolerance.
k3s
docker
sqlite
helm
gardener
traefikmesh