devops
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 ...
Ahmed Tariq | | Azure Key Vault, cloud native, Configuration Drift, deployment verification, devops, envFrom, Helm, Helm 4.2.3, kubectl, kubernetes, Kubernetes deployment, Kubernetes secrets, platform engineering, pod environment variables, post-deploy checks, rollout restart, secret synchronization, SecretProviderClass, Secrets Store CSI Driver
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 ...
Adrian Bridgwater | | CI/CD, cloud native, cloud native security, cloud-native architecture, configuration management, containers, devops, DevSecOps, Helm, KEP 5295, kubectl, kubernetes, Kubernetes configuration, Kubernetes manifests, Kubernetes security, Kubernetes YAML, KYAML, open source, platform engineering, SIG CLI, YAML, YAML errors
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 ...
Kishor Patil | | agentic AI, AI agents, AI infrastructure, AI model serving, cloud native AI, devops, Event-Driven Autoscaling, horizontal pod autoscaling, HPA, inference scaling, KEDA, Kubernetes AI workloads, Kubernetes autoscaling, Kubernetes Event-Driven Autoscaling, platform engineering, Pub/Sub, queue depth, RabbitMQ, Redis, scale-to-zero, SQS
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 ...
Inside the Packet: How Kubernetes Networking Actually Works at L3/L4
Stop guessing why your Pods can't communicate. This deep dive strips away the magic of Kubernetes networking, providing a layer-by-layer breakdown of the dataplane using real packet captures, kernel data structures and ...

