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The “Spreadsheet of Doom” You know the one. That “Master Inventory.xlsx” file everyone dumps in the Engineering Drive. MAC Address, IPMI IP, Rack Unit, Status—it’s all there. And it is always, 100% of the time, wrong. You go to provision a “spare” node, only to find it has a dead drive, or the wrong BIOS…
I still remember the first “cloud” Disaster Recovery (DR) plan I reviewed back in 2012. The team assumed that because their app was running on AWS, it was magically invincible. “It’s in the cloud,” they said. “Amazon handles that.” Six months later, us-east-1 had a wobble, and that team spent 14 hours manually rebuilding databases…
The “Gap of Grief”: While cloud providers speed ahead with new features, infrastructure-as-code tools often carry a heavy load of legacy support, creating a measurable lag. I’ve been designing cloud infrastructures for over 15 years, and the story is always the same. You see a flashy announcement at re:Invent or Ignite—maybe it’s a new high-performance…
The dream of “Write Once, Run Anywhere” Infrastructure as Code has mutated into a nightmare of technical debt. It’s time to embrace verbose, native code. Around 2018, many of us in the DevOps space shared a collective dream. We believed that with enough clever Terraform coding, we could abstract away the underlying cloud provider completely….
