Infrastructure as code (anti) Patterns
summary
Argues that infrastructure-as-code succeeds only when it uses Version Control, automated pipelines, tests and observable desired state enforcement; warns common anti-patterns: one-person “works on my laptop” repos, branching per environment, secrets checked into code, and one-off orchestration runs that aren’t maintained. Names Puppet, Chef, Ansible, Terraform (migrated away to Tofu), Kubernetes and container stacks as the toolchain. Gives numbers: a four‑person team managing 25 stacks and 1,500 nodes, containers tripling staffing needs, and recommends single source of truth and regular enforcement (eg periodic reconciliation).
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chapters (30)
- 0:00Infrastructure as code patterns intro
- 2:23Why IaC matters today
- 6:12Manual installs to automation struggles
- 9:03Configuration drift consequences
- 11:16Infrastructure as real code
- 13:24Secure IaC tools types
- 17:19Key IaC adoption questions
- 18:25Anti-pattern: Works on my machine
- 19:27Anti-pattern: Partial automation silos
- 21:14Pattern: Package config and services
- 23:26Non-functional IaC requirements
- 24:07Pattern: Reproducible stacks
- 25:35Anti-pattern: Conflicting tools
- 26:38Anti-pattern: Manual overrides
- 27:39Anti-pattern: Run once and forget
- 29:06Anti-pattern: Fear of prod breakage
- 30:10Desired state and security compliance
- 31:15Fast pipelines vs legacy systems
- 32:21Environment management best practices
- 34:51Testing and monitoring in IaC
- 35:34Anti-pattern: Secrets in code
- 37:24Anti-pattern: Manual config commits
- 38:06Management’s UI love
- 39:10Open source in IaC
- 41:21Branching anti-pattern in IaC
- 43:33Open source vs vendor lock-in
- 45:40Closing thoughts and call to action
- 47:05Q&A: Tech complexity motivation
- 49:14Q&A: Cloud abstraction complexity
- 52:30Q&A: Running own infrastructure
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