Practical ideas.
Better operations.
Guides for the work behind reliable infrastructure: planning changes, shipping safely and handing over systems your team can operate.
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- DevOps
A CI/CD release checklist your next engineer can use
Build a delivery workflow around traceable artifacts, scoped credentials, approvals and recovery evidence.
Read article - FinOps
A practical FinOps review for cloud and Kubernetes teams
Turn cloud billing and utilization data into owned, measurable engineering changes without promising a savings percentage in advance.
Read article - AI-assisted DevOps
AI-assisted DevOps: start with evidence and review
Choose useful AI-assisted operations workflows, evaluate their output and keep production actions under explicit engineering control.
Read article - Kubernetes
Kubernetes readiness: requests, probes and rollout checks
Review the workload settings that affect scheduling, traffic readiness and recovery before handing a Kubernetes service to operations.
Read article - Infrastructure
Terraform state: what to settle before a team handover
A practical review of state ownership, access, locking, recovery and the evidence an incoming infrastructure team needs.
Read article - Kubernetes
Kubernetes drift detection is a different problem to Terraform drift
A Deployment can drift from its Helm release without anyone running kubectl, because controllers, admission webhooks and autoscalers all write to live objects by design. Here is what that means for detection, and why ownership is the harder half.
Read article - Infrastructure
Terraform drift detection when your state is not all in one place
Drift checking usually assumes one workspace system holds everything. Real estates keep state in S3, a storage account, a GCS bucket, a workspace and someone's laptop. Here is what that does to detection, and how to get one answer.
Read article - Infrastructure
Unmanaged resource detection, and why your plan will never do it
A terraform plan compares state to reality. A resource in no state file has nothing to compare against, so it stays invisible, however clean your plan output looks. Here is what actually finds it, and what each method costs.
Read article - Infrastructure
What multi-cloud drift detection can honestly promise
Most tools that claim drift detection across AWS, Azure and GCP are describing three different depths at once. Here are the three bars worth separating, why coverage is path-dependent rather than cloud-dependent, and what to ask a vendor.
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