Terraform : Up & Running
by Yevgeniy Brikman · first published 2017
3mentions
2recommended by
3HN commenters
2022–2026first – last mentioned
67% recommend33% neutral
Terraform has emerged as a key player in the DevOps world for defining, launching, and managing infrastructure as code (IAC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, and Azure. This hands-on book is the fastest way to get up and running with Terraform. Gruntwork co-founder Yevgeniy (Jim) Brikman walks you through dozens of code examples that demonstrate how to use Terraform’s simple, declarative programming language to deploy and manage infrastructure with just a few commands. Whether you’re a novice developer, aspiring DevOps engineer, or veter
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I've written code like that for clients (and specifically executed a transition from bare metal+shell scripts to EKS for a "generic backend" module once), but I can't publish any of it for unfortunate obvious reasons. But FWIW I think it's inherent to IaC to involve a lot of copy-pasta, sometimes your best abstraction will just lead to shifting the copy-pasta from code to call-sites, which tends t
on “My Google Cloud was suspended too” ↗…manifests and not terraform files (kubectl provider gives us this) * Delegate flux management to flux-cli * Auto-unseal Vault to capture and protect the vault token Then a list of recommended reading: * Terraform Up and Running * Building Microservices * Site Reliability Engineering This list is more tactical since we didn't build the system, we were auditing their current setup.
on “System design and the cost of architectural complexity” ↗> he took a PDF of my book Terraform: Up & Running, uploaded it into a GenAI tool, and asked the tool to follow the guidance in the book to generate Terraform code This is ridiculous - AI doesn't need to be fed a PDF of a Terraform book to know how to Terraform. Blowing out context with hundreds of OCR'd pages of generic text on how to terraform isn't going to help anything. The model that is br
on “GenAI, the Snake Eating Its Own Tail” ↗