Infrastructure As Code

Definition

Infrastructure As Code coverage in this archive spans 3 posts from Jun 2016 to Nov 2022 and focuses on reliability, delivery speed, and cost discipline as one system, not three separate concerns. The strongest adjacent threads are terraform, devops, and cloud. Recurring title motifs include infrastructure, scale, terraform, and code.

What the archive argues

  • Most posts prioritize predictable operations over feature breadth or stack novelty.
  • The consistent theme from 2016 to 2022 is disciplined execution over hype cycles.
  • This topic repeatedly intersects with terraform, devops, and cloud, so design choices here rarely stand alone.

Execution checklist

  • Set SLOs first, then choose tooling that keeps deploy, observability, and rollback simple.
  • Start with the newest post to calibrate current constraints, then backtrack to older entries for first principles.
  • When boundary questions appear, cross-read terraform and devops before committing implementation details.

Common failure modes

  • Adding platform layers faster than the team can operate and debug them.
  • Chasing throughput gains without proving they improve end-user reliability.
  • Applying guidance from 2016 to 2022 without revisiting assumptions as context changed.

Suggested reading path

References