Overview
CloudFormation stacks fail in ways that take applications down with them. A stack deletion cascades through every resource in it. A failed update lands in UPDATE_ROLLBACK_FAILED and stays there until someone with deep CloudFormation knowledge digs it out. CDK adds asset-hashing surprises on top. Terraform trades those problems for a state file: one more thing to lock, corrupt, leak secrets through, and argue with when it disagrees with reality.
ForgeIaC removes both failure classes by removing their cause. There is no stack and no state file. AWS is the source of truth. Every plan reads live state, computes a field-level diff against your typed TypeScript config, and shows exactly what would change, with secrets masked and a monthly cost delta attached. Every apply is convergent: run it twice and the second run makes zero mutating calls. If an apply dies mid-run, you run it again and it finishes the remainder. Nothing rolls back because nothing needs to.
The migration itself is the part teams expect to hurt, and it doesn't. ForgeIaC generates a typed config from your existing CloudFormation stacks (or from a live account scan when there is no stack), then adopts every resource in place. Nothing is recreated. Nothing goes down. The acceptance test is simple and binary: the plan against your production account shows zero changes. Your old stacks stay where they are as inert metadata; you just stop feeding them.
What this engagement includes:
- Inventory and import of your CloudFormation/CDK stacks into typed ForgeIaC configs, with every omission called out explicitly
- Adoption verification: a zero-change plan against each target account
- CI integration: plan on pull requests with machine-readable output, drift exit codes, policy checks written in TypeScript, and apply locking so concurrent runs fail fast instead of corrupting each other
- Guardrails configured to your standards: IAM permissions boundaries on every role the tool creates, protected resources that refuse deletion, secret masking, org policy rules
- Runbook handoff and team training on the plan/apply workflow
- 30 days of post-migration support
Who this is for: platform and DevOps teams of roughly 10 to 200 engineers running production workloads on AWS under CloudFormation, CDK, or Terraform, who have been burned by stack rollbacks, cascade deletes, or state-file surgery, and who want their infrastructure tooling to stop being a source of incidents.
Alchemaize is an AWS Select Consulting Partner. ForgeIaC manages Alchemaize's own production portfolio: every application we run, across all of our AWS accounts, deploys through the same tool and the same workflow we deliver to you. We publish our internal audits of the tool, including the findings, in the product documentation.
Highlights
- Nothing to corrupt, nothing to cascade. No state file and no stack means the two worst failure classes in IaC can't occur. A mid-run failure needs no rollback and no surgery: apply is convergent, so re-running it completes the remainder. We prove this with an executable test suite that asserts a converged apply makes zero mutating AWS calls.
- Adopt, don't migrate. ForgeIaC generates typed configs from existing CloudFormation stacks or live account scans, then adopts resources in place. Nothing is recreated, nothing goes down, and the acceptance test is binary: the production plan shows zero changes. Brownfield is the main case, not an afterthought.
- Safe around humans and their tools. Console hotfixes don't get steamrolled (fields you didn't declare are preserved). Autoscalers and deploy scripts don't fight the tool (`ignoreFields`). Secrets are masked in every output. Deletion requires naming the resource, passing tier checks, and holding an ownership tag, and `protect: true` refuses even then. Policy rules are TypeScript functions over a typed plan, reviewed like any other code.
Details
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