devops
When the Scheduler is Full but the Autoscaler Is Not
Docker Swarm autoscaling can look healthy at the VM layer while services remain unschedulable. Effective scaling needs scheduler capacity signals as well as host utilization ...
Why One of Two Kubernetes Pods Missed a Secret That Already Existed
A Kubernetes Secret can look correct while running pods still hold different environments. This case shows why CSI sync timing and per-pod verification matter ...
A Missing Binary Turned a Kubernetes Liveness Probe Into a Restart Loop
A Node.js Redis worker shows why Kubernetes liveness and readiness probes need different responsibilities — and why readiness alone cannot drain a background queue consumer ...
Why Your Kubernetes Readiness Probes Are Lying During Rolling Updates
Kubernetes readiness probes can pass while applications are still unable to serve real traffic. Protocol-aware checks help close the gap between “running” and truly “ready.” ...
Why CPU-Based Autoscaling Fails for Rails — and What We Used Instead
Kubernetes autoscaling works best when teams match the metric to the workload: queue latency for synchronous web traffic, queue depth for background jobs ...
Write Access Is the Easy Part: The Verification Gap in Agentic Kubernetes Remediation
Giving an AI agent the power to change a cluster is now straightforward. Confirming the change landed, did not produce unintended duplicate effects and achieved the outcome the operator actually wanted is ...
Manifestly Safer, Why Kubernetes Wants Developers to Speak KYAML
KYAML gives Kubernetes developers a stricter, more predictable YAML dialect designed to reduce configuration errors, ambiguity, indentation problems and unexpected type coercion ...
Autoscaling AI Workloads on Kubernetes With KEDA and What it Means for Agentic Systems
KEDA can scale Kubernetes AI workloads on real demand signals such as queue depth, helping model-serving and agent workloads respond faster while reducing idle compute costs ...
Cloud-Native Complexity Is a Cost: When More Platform Layers Stop Adding Value
Cloud-native environments rarely become complex overnight. In most teams, complexity builds gradually. A platform may begin with containers and a basic deployment process, then grow to include orchestration, CI/CD, observability, security controls, ...
How We Cut Kubernetes Deployment Validation From 45 Minutes to 2 minutes
There is a moment every release engineer knows well. The CI/CD pipeline turns green. The deployment job reports success. Everyone exhales for a second and thinks, “Okay, the release is done.” But ...
