AI DevOps Korea
Aidevops.kr organizes LLMOps, RAG, agents, evaluation, observability, and cost-performance tuning for teams running AI in production.
Separate dev/staging/prod configuration with Kustomize overlays and manage the entire cluster as GitOps using ArgoCD's App of Apps pattern. The final installment in the Kubernetes Dev & Ops series.
Helm Chart structure design, environment separation with values files, safe deployment and rollback strategies. A practical guide to managing Helm systematically in production.
A practical guide to Kubernetes Service types, Ingress configuration, and controlling Pod-to-Pod traffic with NetworkPolicy. Design cluster-internal and external traffic flows with confidence.
When to use Kubernetes Deployment, StatefulSet, DaemonSet, Job, and CronJob — with criteria and real-world configurations. Covers key characteristics and operational considerations for each workload type.
Namespace isolation strategies and RBAC design principles for multi-team, multi-environment Kubernetes operations. A practical guide to maintaining least privilege while maximizing developer productivity.
Set up a local Kubernetes cluster with Kind and automate your development loop with Skaffold and Tilt. A practical guide to developing in a production-equivalent environment.
Knowing the concepts of blue-green and canary is not enough for production operations. This post explains a practical Argo Rollouts setup for analysis-based deployment, staged traffic shifting, automated rollback, Prometheus integration, and ingress-based progressive delivery on Kubernetes.
Kubernetes SIG Network announced Ingress2Gateway 1.0 on March 20, 2026. This post explains why the move from Ingress to Gateway API is an architectural transition, not just a migration exercise.
Based on the Kubernetes v1.36 Sneak Peek published on March 30, 2026, this post explains the operational checks DevOps teams should prioritize around removals, deprecations, and upgrade readiness.
A practical guide to EKS node group design. Covers how to separate system nodes, application nodes, and Spot worker nodes using labels, taints, and workload boundaries for better cost and stability.
A practical guide to using Argo CD and GitOps in Kubernetes. Covers App of Apps, environment separation, drift detection, rollback strategy, and how GitOps reduces operational mistakes.
A practical comparison of Blue-Green and Canary deployment strategies. Covers rollback speed, operational complexity, traffic control, and how these patterns work in Kubernetes environments.
A practical guide to managing Kubernetes Secrets safely. Covers the difference from ConfigMaps, injection methods, Git storage strategies, External Secrets, Vault integration, rotation, and RBAC considerations.
A practical guide to Kubernetes monitoring with Prometheus and Grafana. Covers what metrics matter, how to think about alerts, and the common monitoring mistakes teams make in production.
Five root causes of CrashLoopBackOff and a step-by-step debugging approach. Essential kubectl commands and real-world resolution examples.
Step-by-step diagnosis of CrashLoopBackOff — from OOMKilled and missing config to liveness probe misconfigurations. Includes kubectl commands and real-world patterns.
Comparing AWS EKS and Naver Cloud NKS on cost, performance, operational ease, and compliance. Which is better for Korean services?
A 34-item checklist for running Kubernetes clusters reliably in production. Organized by resources, availability, security, network, storage, monitoring, deploy process, and cost.
Step-by-step response when a Kubernetes Node enters NotReady state. Root cause diagnosis, workload evacuation, and recovery procedures — a real-world operations guide.
Build a complete CI/CD pipeline with GitHub Actions: test → build → Docker image → Kubernetes deployment. Includes real workflow examples.
How to configure Kubernetes HPA, VPA, KEDA, and Cluster Autoscaler, and when to use each. From CPU/memory-based to custom metrics — with real-world configuration examples.