ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
DevOps & observability · #kubernetes
Learn how Traefik Mesh uses sidecar proxies and mTLS to eliminate implicit trust in Kubernetes clusters, moving from IP-based security to a Zero Trust identity model.
Stop guessing where latency lives in your Kubernetes cluster. Learn how to use New Relic Distributed Tracing to map request flows and pinpoint the exact service or external API causing delays.
Learn how to update a Deployment’s container image with zero downtime by using kubectl, verifying the rollout, and reverting if needed.
A diagnostic guide for resolving 'Pending' pods in Kubeflow Pipelines, covering resource quotas, node taints, and scheduler constraints.
Learn how to implement the Kubernetes Horizontal Pod Autoscaler (HPA) to maintain application performance during traffic spikes while avoiding common pitfalls like memory-scaling traps.
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.
traefikmesh
newrelic
kubeflow
k3s
docker
sqlite