Contributed Content
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 ...
Praneeth Kodumagulla | | autoscaling, Azure autoscale, Azure Monitor, Azure VM Scale Set, capacity planning, cloud operations, container capacity, container orchestration, container scheduling, devops, Docker services, Docker Swarm, infrastructure autoscaling, memory reservations, platform engineering, resource reservations, schedulable capacity, scheduler metrics, VMSS, workload placement
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
Six Production Guardrails for Enterprise AI Applications on Kubernetes
Kubernetes is a strong runtime foundation, but production AI also needs controls for slow startup, uneven demand, streaming connections, credentials, telemetry and rollback. A prototype can look healthy with one developer, one ...
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 ...
Cloud Observability Is More Than a Cloud-Native Story
Cloud-native systems have come to define much of the public conversation about observability. Discussions often begin with Kubernetes, microservices, OpenTelemetry, and distributed tracing. But enterprise teams are responsible for a much wider ...
What Dependency Mocking Software Needs to Handle in a Cloud Native Architecture
Much of the dependency mocking software in use today was not designed with cloud native architectures in mind. The tools that dominate the category today were built for a world where services ...
Why Kubernetes RBAC Misconfigurations Are the Easiest Privilege Escalation You’ll Ever Find
Ask any penetration tester which part of a Kubernetes assessment reliably produces a finding, and RBAC comes up almost every time. Not because Kubernetes’ permission model is poorly designed — it’s genuinely ...
Your Service Is Healthy, but Its Data Isn’t: Rethinking Cloud-Native Health Checks
Some of the most difficult production issues do not start with a failed service. The application is running, the database is reachable, requests are completed successfully and the monitoring dashboard is green ...
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 ...

