Paul Stack

Paul Stack

Engineering Manager

Controlling AWS Costs with Pulumi and AWS Lambda

Controlling AWS Costs with Pulumi and AWS Lambda

Due to the nature of the product we build, the Pulumi team needs to have access to several cloud providers to develop and test the product. An increasing number of cloud providers comes with an associated ever-increasing cost.

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Architect AWS Application Infrastructure

Architect AWS Application Infrastructure

In this post, we will talk about the best way to architect your Pulumi applications. We are going to build out the following infrastructure in AWS: AWS Fargate service that does not serve traffic directly AWS ALB as the entry point to the Fargate Service AWS RDS Instance that is stored in a separate network from the Application and does not service traffic directly from the internet To do this, we are going to split the infrastructure into two AWS VPCs.

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Using Terraform Remote State with Pulumi

While some people coming to Pulumi are entirely new to Infrastructure as Code, increasingly teams are moving from other tools - whether cloud-specific in the form of CloudFormation or ARM Templates, or cloud-agnostic tools such as Terraform. In these organizations, new infrastructure provisioned with Pulumi must co-exist with existing resources provisioned with other tools, and often by different teams. For example, it’s common to see an application team deploying into a VPC owned and managed by a network operations team.

Pulumi supports this kind of workflow natively using the StackReference type from the Pulumi SDK. Integration with the most popular cloud-specific tools have been supported by Pulumi since the earliest days:

We recently added similar support for reading the outputs of a Terraform state file - both from local .tfstate files, and from all of the remote state backends supported by Terraform. This is exposed via the terraform.state.RemoteStateReference type in the @pulumi/terraform NPM package.

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