Terraform vs Pulumi vs CDK — which infrastructure-as-code tool?
Choosing a tool for managing cloud infrastructure declaratively
Blockers
- No blockers identified in the graph.
Who this is for
- enterprise
- cost-sensitive
Candidates
Terraform / OpenTofu
Cloud-agnostic IaC tool. Declarative HCL syntax with plan/apply workflow.
When to choose
Multi-cloud, any cloud provider, when you want the largest ecosystem of providers. Best fit for enterprise + high-scale + compliance constraints.
Tradeoffs
State management is critical. HCL learning curve. Drift detection is passive.
Cautions
Use remote state backend from day one. Lock state during applies. Review plans carefully.
Pulumi
IaC using real programming languages (TypeScript, Python, Go). Full IDE support.
When to choose
When team prefers general-purpose languages over DSLs, complex infrastructure logic. Best fit for small-team + microservices constraints where developers prefer familiar languages.
Tradeoffs
Smaller community than Terraform. Some providers lag behind. State management still required.
Cautions
Avoid over-engineering with abstractions. Keep infrastructure code simple and readable.
Sources
Cloud-Native (AWS CDK, CloudFormation, Bicep)
First-party IaC from cloud providers. Deep integration with provider features.
When to choose
Single-cloud strategy, when you need latest cloud features immediately. Best fit for serverless + low-ops + cost-sensitive constraints on a single provider.
Tradeoffs
Vendor lock-in. Cannot manage multi-cloud. CDK synthesis can be slow.
Cautions
CDK constructs can hide complexity. Understand generated CloudFormation for debugging.
Try with your AI agent
$ npm install -g pocketlantern $ pocketlantern init # Restart Claude Code, Cursor, or your MCP client, then ask: # "Terraform vs Pulumi vs CDK — which infrastructure-as-code tool?"