CloudFormation specialists for your dedicated team.

Where CloudFormation fits in a long-term product team.

Being AWS's own service is the practical argument. New resource types are supported at launch, and the service can roll a failed stack back to its previous state, something Terraform, holding state separately, handles less cleanly.

The template language is the cost. YAML with intrinsic functions is verbose and awkward for anything conditional, and large templates become difficult to read. The CDK, which generates CloudFormation from real code, exists precisely because writing it by hand at scale is unpleasant.

What your dedicated team does with CloudFormation.

Stack boundaries are the decision that ages worst. Everything in one stack means every change risks everything; too many stacks means cross-stack references that are painful to modify. Both are expensive to correct once resources are live.

Getting that boundary right at the start deserves real design time, and it is the kind of foundational decision a long-term team makes deliberately. How that works is described in how an assignment runs.

Common CloudFormation use cases.

• Day-one support for new AWS services Resources available as soon as AWS ships them, with no provider lag.
• Failed deployments rolled back automatically Stack-level rollback, so a partial failure does not leave infrastructure half-applied.
• Change sets reviewed before applying A preview of exactly what will change before anything runs.

Adding CloudFormation skills to your team.

CloudFormation work sits with your dedicated cloud and DevOps team, with stack boundaries designed at scoping.

You can add CloudFormation capacity as one dedicated specialist or as part of a wider remote team, managed by a service delivery manager from our offices in Thailand. Companies hire dedicated developers this way under one agreement and one monthly fee.