Pat Gavlin

Pat Gavlin

Software Engineer

Pulumi Deployments: API-Driven Infrastructure at Scale

Pulumi Deployments: API-Driven Infrastructure at Scale

Delivering software has been conventionally driven by CI/CD workflows. A single commit is merged into a codebase, and a small, and static set of workflow runs are triggered by the CI system to update the appropriate environments (Dev -> Staging -> Production). This may have been fine when the only product a company had to offer was a single stateless web service, but increasingly companies are called upon to deliver cloud infrastructure as a product.

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From Terraform to Infrastructure as Software

From Terraform to Infrastructure as Software

Here at Pulumi, we love programming the cloud using infrastructure as code. From the project’s outset, we’ve been inspired by technologies like Terraform, AWS CloudFormation, and Helm, and in fact leverage the Terraform Providers ecosystem, to support a broad range of clouds, including AWS, Azure, and Google Cloud.

Just recently, we extended this with first class support for Kubernetes. Pulumi delivers the same infrastructure as code workflows only using general purpose languages like JavaScript, TypeScript, Python, and Go, extending robust infrastructure provisioning with abstraction and reuse, highly productive tooling, and access to all the other things we already know and love about programming languages.

In this article, we will convert existing Terraform configuration to Pulumi TypeScript. By doing so, we’ll see how using general purpose programming languages can help you create simpler, more flexible infrastructure as code, with greater productivity and less repetition. The infrastructure we’ll be working with describes a load-balanced web server hosted by an AWS EC2 instance per availability zone with an option to allow SSH access. Of course, these same benefits would also accrue were we to target Azure, Google Cloud, or Kubernetes instead.

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