Kubernetes, Azure Pipelines, Prometheus, Grafana — no fluff, no filler. Just the signal engineers actually need.
Cloud Infrastructure Engineer & Technical Writer. Two years of IT systems, zero tolerance for vague documentation.
I run production workloads on Kubernetes, design CI/CD pipelines on Azure DevOps, and build observability stacks that actually help teams sleep through the night. This blog is where I put the things I had to learn the hard way.
Most DevOps content online falls into two traps: either it's a shallow tutorial that stops before anything real happens, or it's buried in vendor marketing. InfraPulse exists to be neither. Everything here is written from first principles, tested against real systems.
I also maintain a homelab running a three-node k3s cluster managed with Flux CD — because the best way to understand failure modes is to introduce them yourself in a safe environment.
Open-source tools, templates, and homelab experiments.
A Helm chart bundle that deploys a complete Prometheus + Grafana + Alertmanager + Loki stack in a single command. Ships with pre-built dashboards for node health, pod resource usage, and HTTP request rates. Designed to give new clusters an observability baseline on day one with zero manual Grafana configuration.
A reusable library of Azure DevOps YAML pipeline templates covering rolling updates, blue-green deployments, and canary releases with automatic rollback on error-rate threshold breach. Teams import these as template references rather than copying boilerplate, so improvements propagate centrally.
A production-ready Terraform module that provisions a secure Azure landing zone: VNet, subnets, NSGs, Key Vault with private endpoint, Log Analytics workspace, and Azure Monitor alerts. All resources are tagged for cost attribution. State is managed in Azure Blob Storage with soft-delete enabled.
A three-node k3s cluster managed entirely through Git using Flux CD. Everything from DNS to storage classes lives as code. It doubles as a test environment for ideas before they go anywhere near production — and as proof that breaking things intentionally is the most efficient way to learn how they work.
Questions, feedback, topic requests, or just want to connect with someone who thinks about infrastructure too much.
Last updated: June 1, 2025
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