Expert guides on cloud architecture, DevOps, FinOps, and platform engineering — written for practitioners building at scale.
From cluster provisioning with Terraform to GitOps with ArgoCD — a comprehensive walkthrough of running production workloads on Amazon EKS. Covers node group strategies, IRSA, Karpenter autoscaling, network policies, and observability with OpenTelemetry.
A practical comparison of HCL vs general-purpose languages, ecosystem maturity, team adoption, and where each tool excels for modern cloud infrastructure.
Move beyond "turn off unused resources" — these 12 proven strategies cover reserved instances, spot fleet architectures, right-sizing automation, and tagging hygiene that saves real money.
When to choose AWS, when Azure wins, and how to evaluate the decision based on existing toolchain, compliance geography, licensing agreements, and engineering talent.
A nuanced look at K8s operational overhead vs. serverless simplicity — workload types, cost profiles, cold-start latency, and the hybrid patterns that work best in 2026.
The strangler fig pattern, domain-driven decomposition, database per service migration, traffic shifting with feature flags, and rollback strategies that don't bring down production.
Beyond the AWS whitepaper — how to actually apply the 6 pillars (operational excellence, security, reliability, performance, cost, sustainability) to real workloads with Opsible.
The checklist every cloud engineer should validate before calling an architecture production-ready — covering HA, DR, security controls, observability, cost guardrails, and runbooks.
How engineering teams can build cost visibility from day one — tagging strategy, budget alerts, showback vs. chargeback, and the FinOps maturity model explained for practitioners.
From simple GitHub Actions to GitOps with ArgoCD and multi-environment promotion pipelines — the patterns that scale from 2 engineers to 200 without becoming a maintenance burden.