3d ago · 6 min read · The traditional DevOps pipeline is breaking under modern infrastructure scale. Cloud environments have become too dynamic for human-centered operations alone. Containers spin up and disappear in secon
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4d ago · 3 min read · Multi-Cluster GitOps at Scale: A Deep Dive into Cluster-Path Repository Layout and Progressive Delivery The Problem As organizations mature their GitOps practices, managing multiple clusters across different environments and regions becomes a signifi...
Join discussion6d ago · 6 min read · Most engineers still think AI in DevOps means “Copilot autocomplete.” That is beginner-level thinking. The real shift is happening deeper in infrastructure, incident response, platform engineering, ob
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May 5 · 20 min read · It started with a routine Tuesday deploy. Nothing fancy, a small config change to our ingress controller across a few clusters. We'd done this a hundred times. Standard values.yaml modification and th
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May 5 · 4 min read · Unlocking Reliability: Why Data Pipelines Need Declarative Deployment & GitOps You know the feeling: your data pipeline worked perfectly last week, and now it's throwing cryptic errors. The logs don't help. The documentation is outdated. Nobody's sur...
Join discussionMay 2 · 3 min read · The Problem Most engineers deploy to Kubernetes by clicking buttons in a UI. That's not DevOps. That's manual labor with extra steps. I built Archnet — a fully automated Internal Developer Platform th
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Apr 30 · 13 min read · I think we could all agree that there is a version of DevOps where the pipeline seems to be a fancy way to deploy broken things faster. You write code, push said code, it builds, it ships. Nobody real
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Apr 23 · 23 min read · A month of late nights, broken pipelines, unfixable CVEs, and one cluster that refused to scale — here's the full story of building AutoScaleOps: a complete CI/CD platform with security gates, GitOps,
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