DevOps — Page 3 of 8
Browsing page 3 of 8 — 95 articles on devops.
Kubernetes Security Hardening in Production: Pod Security Standards, RBAC, and Runtime Threat Detection
Most Kubernetes clusters run with default security settings that are far too permissive. This guide covers practical hardening: Pod Security Standards, RBAC design for multi-team clusters, network policies, secrets encryption, image admission control with Kyverno, and runtime threat detection with Falco.
Kubernetes Operators in Practice: Custom Controllers, Reconciliation Loops, and CRD Design Patterns
A deep dive into the Kubernetes operator pattern: how reconciliation loops work, how to design CRDs that age well, how to handle finalizers and leader election, and the production pitfalls that break operators under load.
Migrating from Docker Compose to Kubernetes: Service Translation, Persistent Volumes, and Incremental Adoption Strategies
A practical guide for teams outgrowing Docker Compose: translating Compose services to Kubernetes manifests, handling persistent storage, navigating networking differences, and running an incremental migration without a big-bang cutover.
Contract Testing for Microservices: Consumer-Driven Contracts, Pact, and Breaking Change Detection in CI/CD
How consumer-driven contract testing with Pact reduces integration test fragility in microservice architectures, with TypeScript examples and a CI/CD deployment gate pattern.
GitOps in Practice: Declarative Infrastructure, Drift Detection, and Reconciliation Loops
A deep dive into GitOps as a production infrastructure pattern: reconciliation loops, pull vs push deployment models, secrets management, multi-environment promotion, and the operational reality of running GitOps at scale.
OpenTelemetry Collector Architecture: Pipeline Design, Processors, and Scaling Telemetry Ingestion in Production
A production-focused guide to the OpenTelemetry Collector covering receiver and processor configuration, pipeline design, deployment patterns, cost reduction strategies, and horizontal scaling.
Docker to Serverless: A Migration Playbook for Production Applications
A practical migration guide for teams moving containerized applications to serverless platforms. Covers assessment, migration patterns, state handling, connection pooling, cost modeling, monitoring, and rollback strategies with TypeScript examples.
GitHub Actions at Scale: Reusable Workflows, Matrix Strategies, and Self-Hosted Runners for Monorepo CI/CD
A practical guide to scaling GitHub Actions beyond basic workflows. Covers reusable workflows, matrix strategies, self-hosted runner autoscaling on Kubernetes, monorepo path triggers, and cost optimization patterns for engineering teams managing large repositories.
Observability for Small Teams: What to Monitor When You Can't Afford a Platform Team
A practical guide to setting up logs, metrics, and traces for teams of 1-5 engineers. Covers what actually matters at small scale, tool recommendations with free tiers, SLO-based alerting that avoids alert fatigue, and a phased rollout plan.
Secrets Management in Production: HashiCorp Vault, AWS Secrets Manager, and Secure Injection Patterns for Kubernetes and Serverless
A deep dive into production secrets management. Covers why environment variables break at scale, HashiCorp Vault architecture, AWS Secrets Manager, a direct comparison, and concrete injection patterns for Kubernetes (CSI driver, init containers, sidecars) and serverless (Lambda, Cloudflare Workers). Includes rotation and emergency revocation.
Database Observability in Production: Slow Query Detection, Connection Pool Monitoring, and Performance Regression Alerts
How to build real database observability across the four pillars that matter in production: query performance, connection health, replication lag, and storage. Includes pg_stat_statements integration, PgBouncer metrics, and plan-change alerts.
Kubernetes Cost Optimization: Right-Sizing, Spot Instances, and Cluster Autoscaling Strategies
A practical guide to reducing Kubernetes costs without sacrificing reliability. Covers resource request right-sizing using VPA data, spot instance node pools with graceful drain, cluster autoscaler vs Karpenter, namespace quotas, and cost attribution with labels.