Cloud-Native Development
Scaling GitOps With Release Promotion
GitOps pipelines that work well across a handful of Kubernetes clusters can become risky at fleet scale. For organizations managing hundreds of clusters, faster synchronization doesn't solve the challenge of validating releases ...
Jesse Suen | | ApplicationSets, Argo CD, cloud native, continuous delivery, devops, Fleet Management, GitOps, GitOps at Scale, karmada, KubeCon 2026, kubernetes, Kubernetes clusters, Kubernetes deployment, Multi-Cluster Kubernetes, Open Cluster Management, platform engineering, progressive delivery, Rancher Fleet, Release Promotion, Release Verification, Staged Rollouts
Kubernetes and Infrastructure as Code in the Age of Agentic Development
Infrastructure-as-code (IaC) goes far beyond provisioning cloud resources. As Kubernetes environments evolve and AI agents take on more operational responsibilities, IaC provides a controlled, reviewable approach to managing infrastructure changes. From Kubernetes ...
What Service Virtualization Tools Need to Handle in a Cloud Native Architecture
Independent deployment changes what service virtualization tools must handle. Understand how the top service virtualization tools compare for cloud native teams ...
One Dockerfile, Two Architectures: What Actually Breaks When You Move Containers to ARM
Migrating Docker containers from x86 to ARM? Discover hidden dependency issues, native library failures and essential tests for reliable ARM deployments ...
Garima Agarwal | | AMD64, ARM Migration, ARM Testing, ARM64, CI/CD, cloud infrastructure, cloud migration, Container Compatibility, container optimization, container security, Dependency Management, devops, docker, Docker Buildx, Dockerfile, kubernetes, Multi-Architecture Containers, Native Libraries, Runtime Failures, x86
Headless WordPress on Kubernetes: A Cloud-Native Setup
WordPress and Kubernetes don’t immediately sound like natural partners. WordPress grew up in the world of fairly traditional web servers, while Kubernetes was designed around containers, distributed workloads, and infrastructure that can ...
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 ...
Microsoft Bakes Linux Container Support Directly into Windows
Linux developers relegated to working on corporate Windows machines no longer have to wrangle with Docker Desktop, file system translations or container lifecycle incompatibilities. This week, Microsoft has released into general availability ...
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 ...

