Kubernetes for Beginners: Pods, Deployments, and Services — how to expose your app (ClusterIP, NodePort, LoadBalancer, and MetalLB)
Kubernetes can feel like a small city with its own rules: Pods are apartments, Deployments are the property managers, and Services are the roads and bridges that let people reach...
Edge computing 101: When to run containers — and when to pick WebAssembly — close to users
Edge computing means running code where users and devices are — not always in a faraway cloud data center. For many teams that still think “edge = tiny VMs or...
Writing your first Terraform module: build a reusable AWS S3 bucket and test it with Terraform mocks
Writing your first Terraform module is like composing a short song: you pick a clear theme, structure the parts (verse, chorus), rehearse, then share. In Terraform-land the theme is a...
Hands-on with Helm: package your charts as OCI artifacts
Helm charts as OCI artifacts are the practical next step for packaging and distributing Kubernetes apps. Over the last few years major chart publishers and cloud registries have been moving...
What is DevSecOps — and why it matters in 2025
DevSecOps is DevOps with a security-first mindset baked into every step: design, code, build, deploy, and operate. Instead of treating security like a final gate, DevSecOps makes it part of...
GitOps-driven model rollouts: automating ML deployments with Argo CD and KServe
Deploying machine learning models reliably is harder than shipping regular services: models are data-dependent, versioned artifacts, and they can silently degrade in production. GitOps — using Git as the single...
Designing short-lived, dynamic secrets with HashiCorp Vault: practical best practices
Short-lived, dynamic secrets are one of Vault’s most powerful features for reducing blast radius, simplifying rotation, and improving auditability. This article walks through a practical approach you can apply today:...
Embeddings + LLMs for early detection: a practical pattern for AI-driven log analysis
Why this matters Infrastructure logs are high-volume, noisy, and heterogeneous. Detecting the faint, early signals of a problem (slow memory leak, mounting error-rate, or a failing hardware sensor) requires correlating...