44 articles
Complete MLOps guide for 2026: model versioning with MLflow, FastAPI serving, Docker containerization, GitHub Actions CI/CD pipelines, data drift detection, and production monitoring patterns.
AI tools accelerate DevOps work by generating Dockerfiles, GitHub Actions workflows, Kubernetes manifests, and Terraform configs from natural language descriptions. This guide covers practical DevOps AI workflows with real configuration examples.
Learn Kubernetes in 2026 with real-world Deployments, Services, Ingress, ConfigMaps, autoscaling, and Helm charts. Designed for developers moving from Docker to production-grade container orchestration.
Master HashiCorp Vault in 2026 with dynamic database credentials, Kubernetes auth via ServiceAccounts, Transit encryption-as-a-service, PKI certificate management, and Vault in GitHub Actions CI/CD pipelines.
The complete DevOps engineer roadmap for 2026: essential skills, tools, certifications, salary data, an 18-month learning plan, and the differences between DevOps, SRE, and Platform Engineering roles.
A structured 12-month DevOps roadmap covering containers, Kubernetes, CI/CD, cloud platforms, and observability. Ideal for developers transitioning into DevOps or engineers leveling up their infrastructure skills.
A hands-on Kubernetes guide covering the control plane, Pods, Deployments, Services, Ingress, and cluster operations. Designed for developers and DevOps engineers moving from Docker to production-grade Kubernetes clusters.
A deep dive into Kubernetes Pods, ReplicaSets, Deployments, and Services with production-ready YAML examples, rolling update strategies, readiness probes, and service discovery patterns.
Master Kubernetes ConfigMaps and Secrets: creating and consuming configuration, mounting as files and environment variables, secret rotation, external secrets operators, and production security patterns.
Master Kubernetes Ingress: routing HTTP and HTTPS traffic to services, TLS termination, path and host-based routing, rate limiting, and the differences between Nginx Ingress Controller, AWS ALB, and Gateway API.
A complete guide to Kubernetes autoscaling: HPA for CPU and custom metrics, VPA for right-sizing containers, KEDA for event-driven scaling, and Cluster Autoscaler for node-level scaling. With production-ready YAML examples.
A complete guide to Kubernetes storage: PersistentVolumes, PersistentVolumeClaims, StorageClasses, dynamic provisioning, StatefulSets, and production patterns for running databases and stateful workloads on Kubernetes.
Learn how to create, manage, and deploy Helm charts to package Kubernetes applications. Covers templating, values files, hooks, and production best practices for DevOps engineers.
A comprehensive kubectl command reference covering pods, deployments, services, debugging, namespaces, and advanced operations. Essential for developers and DevOps engineers working with Kubernetes daily.
Step-by-step guide to deploying and managing Kubernetes clusters on AWS Elastic Kubernetes Service (EKS). Covers cluster creation, node groups, IAM, networking, load balancers, and production best practices.
Deploy and manage Kubernetes clusters on Google Kubernetes Engine (GKE) with production-grade configuration. Covers Autopilot vs Standard mode, Workload Identity, Ingress, autoscaling, and cost optimization.
Implement GitOps with ArgoCD: declarative application delivery, automated sync policies, multi-cluster management, and rollback strategies for Kubernetes workloads.
A comprehensive guide to Platform Engineering — what it is, how it differs from DevOps, and how to build an Internal Developer Platform using Kubernetes, Backstage, Terraform, and GitOps. For platform engineers and DevOps leads investing in developer experience.
The 12-Factor App methodology remains the gold standard for cloud-native systems in 2026. This guide revisits all twelve principles with modern interpretations for Kubernetes, monorepos, and multi-cloud deployments.
Practical Docker guide for 2026 covering multi-stage builds, Docker Compose for local development, health checks, and production deployment patterns for Node.js and Next.js apps.
Practical microservices guide for 2026 covering service decomposition, synchronous and async communication, event-driven patterns, and Kubernetes deployment. For architects and senior developers.
Master ArgoCD''s App of Apps pattern, ApplicationSet for multi-environment deployments, sync waves for ordered rollouts, and disaster recovery strategies for production GitOps pipelines.
Auto-scaling is supposed to save you during traffic spikes. But misconfigured scalers can thrash (scaling up and down every few minutes), scale too slowly to help, or scale to so many instances they exhaust your database connection pool. Here''s how to tune auto-scaling to actually work.
Master EKS node group strategies, intelligently autoscale with Karpenter, manage add-ons, implement IRSA for fine-grained IAM, plan cluster upgrades, and optimize costs with Spot instances.
Build secure containers with non-root users, distroless base images, multi-stage builds, and runtime security. Learn seccomp profiles, image scanning, SBOM generation.
You scale your app to 3 instances. Your daily billing cron runs on all 3 simultaneously. 3x the emails, 3x the charges, 3x the chaos. Distributed cron requires distributed locking. Here''s how to ensure your scheduled jobs run exactly once across any number of instances.
Compare blue/green, canary, rolling updates, and shadow traffic. Implement with Argo Rollouts and decide which strategy fits your risk tolerance.
eBPF runs sandboxed programs in the Linux kernel to observe traffic and performance without modifying application code. Learn Cilium for network visibility, Hubble for service-to-service flows, Parca for continuous profiling, and bpftrace for ad-hoc investigation.
GitOps principles, ArgoCD app-of-apps pattern, automated sync vs manual approval, sealed secrets, drift detection, rollback via git revert, progressive delivery with Argo Rollouts.
Design Kubernetes health checks, dependency health aggregation, and graceful degradation. Learn when to check dependencies and avoid cascading failures.
Master Helm chart design with sensible defaults, comprehensive testing, and promotion pipelines. Scale from single-chart deployments to Helmfile-orchestrated multi-chart platforms.
Scale Kubernetes workloads based on queue depth, Kafka lag, cron schedules, and custom metrics. Master KEDA architecture, combine with HPA, and optimize for cold starts and production reliability.
Deploy inference workloads on Kubernetes with vLLM, GPU scheduling, autoscaling, and spot instances for cost-effective large-language model serving.
Implement zero-trust networking with Kubernetes NetworkPolicies. Learn default-deny patterns, label-based pod selection, DNS egress, multi-namespace policies, and testing with netshoot.
Master Kubernetes resource requests and limits to prevent OOMKills, CPU throttling, and cascading failures. Learn QoS classes, LimitRange, VPA, HPA, and the complete right-sizing workflow for production workloads.
Stop storing base64-encoded secrets in etcd. Evaluate External Secrets Operator, HashiCorp Vault, Sealed Secrets, and secret rotation strategies for GitOps-native Kubernetes deployments.
Your service elects a leader to run background jobs. The network hiccups for 5 seconds. The old leader thinks it''s still leader. The new leader also thinks it''s leader. Both start processing the same queue. Now you have duplicate work, corrupted state, and a split-brain.
A misconfigured load balancer can route all traffic to one server while others idle, drop connections silently, or fail to detect unhealthy backends. These problems are invisible until they cause production incidents. Here are the most dangerous LB misconfigurations and how to fix them.
Implement bulletproof shutdown. Handle SIGTERM/SIGINT, drain database connections, stop consuming messages, align with K8s termination periods, and test shutdown reliability.
Deploy Istio service mesh for automatic mTLS, traffic management, and observability. Learn sidecar injection, mTLS enforcement, canary deployments with VirtualService, circuit breaking, distributed tracing, and when a service mesh is overkill.
You restart your service for a hotfix. Within seconds, the new instance is overwhelmed — not by normal traffic, but by a thundering herd of requests that had queued up during the restart. Here''s why it happens and how to protect your service from its own restart.
Your marketing team runs a campaign. It goes viral. Traffic spikes 50x in 10 minutes. Your servers crash. This is the happiest disaster in tech — and it''s entirely preventable. Here''s how to build systems that survive sudden viral traffic spikes.
Master zero-downtime deployments with rolling updates, graceful shutdown, health checks, and blue/green strategies. Learn SIGTERM handling and preStop hooks.
Implementing zero trust security for microservices: mTLS, service identities, fine-grained policies, and short-lived credentials without downtime.