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Bableen Kaur
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Bableen Kaur

Engineer · Zop.Dev

Bableen works on the Kubernetes side of Zop.Dev, focused on cluster ops, autoscaling, and the long tail of pod-level reliability work. She writes about MTTR, OOMKill diagnosis, and what runbooks actually need to do.

42 posts by Bableen Kaur
aws

The Hidden Cost of Ephemeral Records

Cost history must outlive the resource that created it. That principle sounds obvious until you watch a deleted API key take three months of spend attribution with it into the void.

Aug 20, 2026 17 min
kubernetes

The 3-Month Cliff: When Policy as Code Stops Working

Policy as Code works cleanly until it meets ten teams, and then it breaks in ways the pilot never predicted. The first three months feel like a governance win. Policies deploy, violations get caught,…

Aug 11, 2026 19 min
kubernetes

The 3am Problem Nobody Wants to Admit

On-call engineers are routinely woken at 3am to execute the same five-step runbook they ran the night before, and the tooling to stop this pattern has existed in production environments for years.…

Aug 6, 2026 18 min
aws

The $28,000 Bill Nobody Approved

Egress charges are structurally invisible in most cloud billing workflows, and that invisibility is expensive. The clearest proof: $28,000 per month in egress costs were approved without explicit…

Jul 14, 2026 19 min
terraform

The Convergence of Prompt Engineering and DevOps

Prompt engineering entered DevOps not as an experiment but as a pressure valve: teams shipping faster than their tooling could support needed a way to extract precise, repeatable outputs from AI…

Jul 6, 2026 13 min
kubernetes

Why Most Teams Ship Before They're Ready

The pipeline itself is not the risk. The risk is the gap between what the pipeline assumes is true and what is actually true in the environment it deploys into.

Jul 6, 2026 16 min
aws

The On-Call Model Is Broken by Design

The on-call model fails at the architectural level, not the execution level. Paging a human, waiting for acknowledgment, and then diagnosing a live incident introduces latency that compounds into…

Jun 25, 2026 18 min
kubernetes

The Productivity Paradox at the Heart of Most IDPs

Most IDPs ship as friction-reducers and land as a new category of sprint tax. The promise is a self-service portal that abstracts infrastructure complexity. The reality, in production, is a platform…

Jun 24, 2026 15 min
kubernetes

The FinOps Honeymoon Period: Big Wins, Short-Lived

Every FinOps initiative follows the same arc: a burst of recoverable savings in the first weeks, then a structural decay that accelerates past month 3 (ZopDev, "Why FinOps Savings Decay Faster After…

Jun 19, 2026 15 min
aws

The Hidden Cost of Defaulting to On-Demand

It simply becomes the baseline because nobody stopped to question it. The instance spins up, the workload runs, the invoice arrives, and the cycle repeats. By the time a team audits its compute…

Jun 16, 2026 19 min
cloud-management

How to Right-Size Kubernetes Node Groups Without Breaking Production

Most Kubernetes clusters run at 35% CPU utilization, and nobody revisits node sizing after launch. Here's the measurement process, blue-green rotation pattern, and 72-hour soak checklist to right-size safely without production incidents.

Apr 8, 2026 8 min
cloud-management

GKE Autopilot vs Standard: Which Is Actually Cheaper

GKE Autopilot isn't always cheaper than Standard. Learn exactly when each mode wins, how Autopilot's minimum pod billing surprises teams, and which workload profiles justify the switch.

Apr 3, 2026 6 min

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