Practical guides, production war stories, interactive simulators, and architectural deep dives on Kubernetes, AWS, GitOps, and platform engineering.
The modern software engineer role explained: why syntax is commoditized and how systems architecture, verification and AI orchestration matter now.
Kubernetes interview questions and answers from primitives to production architecture: control plane, networking, storage, security and scaling.
Kubernetes interview prep guide: the 4-phase diagnostic framework, STAR answers and 10 scenario walkthroughs with the commands to run live.
Kubernetes real world problems explained as 12 production postmortems with symptoms, root causes and battle-tested fixes for SRE teams.
Terraform and CloudFormation difference explained: client-side vs server-side engines, state, drift, rollbacks and when to choose each on AWS.
IaC tools comparison for 2026: Terraform, OpenTofu, Pulumi, Crossplane and CloudFormation, with a decision matrix and advice by team profile.
AWS account setup guide: root lockdown, AWS Organizations, IAM Identity Center SSO, budgets, remote state, OIDC and a security baseline.
AWS architecture for startups: serverless and ECS Fargate reference patterns, database sizing, NAT cost traps and day-one budget alarms.
AWS infrastructure for startups: a lean multi-account setup, VPC design without costly NAT gateways, IAM Identity Center and cost guardrails.
SRE troubleshooting guide: a no-jargon incident playbook to diagnose, isolate and fix SaaS outages fast, starting with a 60-second checklist.
Deploy Kubernetes on AWS the production way: EKS multi-AZ VPC design, Terraform, security, autoscaling and a checklist of common mistakes.
Is DevOps dead? No, the silo is. See how platform engineering, golden paths and AI change DevOps roles in 2026, with an honest look at the evidence.
Eliminate ArgoCD configuration drift in production Kubernetes clusters. Architectural deep dive into ArgoCD continuous reconciliation, automated self-healing, ignoreDifferences, HPA tuning, External Secrets Operator, and cluster RBAC lockdown.
Kubectl practice with a timed crash simulator: triage CrashLoopBackOff, OOMKilled, Pending PVCs and broken Services in 60 seconds.
Subnetting cheat sheet with the Magic Number method for CIDR mental math, why AWS reserves 5 IPs per subnet, EKS pod CIDR limits and a speed game.
AWS zero downtime migration playbook: network foundation, DMS replication, shadow testing, Route 53 canary cutover and instant rollback.
Kubernetes production issues checklist: the 10-point triage order for outages, from exit codes 137 and 143 to CoreDNS and AWS VPC CNI limits.
Terraform AWS architecture for production SaaS: multi-account layout, S3 and DynamoDB state locking, Terragrunt patterns and CI drift guardrails.
Reduce AWS costs without hurting uptime: Karpenter Spot, VPC endpoints, gp3 migration and S3 pruning, with guardrails that protect reliability.
GitHub Actions Kubernetes deployment architecture: OIDC auth to AWS, BuildKit caching, ECR images and ArgoCD GitOps with automated rollbacks.
Infrastructure audit checklist for DevOps teams: identity, clusters, resilience, delivery and cost, plus how I run the audit and report findings.
AI agents for DevOps need guardrails. Learn a 3-tier architecture with MCP, sandboxed tools, approval gates and audit trails for safe runbooks.
A 10-year DevOps veteran's honest take on the fear that's sweeping the industry — and the practical mindset shift that turns it into the biggest career opportunity of our generation.
AI anxiety is real for DevOps engineers. Learn what AI replaces, what it can't, and a four-step playbook to turn fear into career growth.
AI job security for DevOps engineers: four pillars of career resilience, from judgment and trust to AI leverage, plus moves for this week.
How to use AI in DevOps to cut toil and speed up incident analysis while keeping human judgment. Six use cases and a three-step plan.
Will AI replace DevOps engineers? History says no. See how AI becomes an ally for on-call, platform teams and new DevOps roles.
Learn AI for DevOps with a practical 90-day roadmap: LLM basics, MCP and agent tooling, local models with Ollama, and a real runbook project.
Human in the loop automation for DevOps: what to automate, what to keep human, and how to build systems that know when to ask for help.
A candid story of the conversation that changed my view on AI: skill obsolescence, agentic AI and building a long-term engineering career.