Introduction

Pulumi is an open-source infrastructure as code tool that enables developers to create, deploy, and manage cloud infrastructure using familiar programming languages. This blog dives into the world of Pulumi, exploring its unique capabilities and how it fosters seamless infrastructure deployment and management.

Pulumi: A Brief Overview

Pulumi's defining feature is its ability to use existing programming languages such as Python, JavaScript, TypeScript, and Go for infrastructure management. It brings the power of software engineering tools like versioning, testing, and CI/CD directly to the world of infrastructure management.

Key Components of Pulumi:

  • Project: The primary unit of code in Pulumi, containing the code files and pulumi.yaml configuration.
  • Stack: An isolated, independently configurable instance of a Pulumi program.
  • Provider: A logical grouping of the APIs used to interact with a specific service, e.g., AWS, Azure, or Kubernetes.
  • Resource: A physical piece of infrastructure, such as a virtual machine or container.

Seamless Deployment and Management using Pulumi and CTO.ai

With Pulumi and CTO.ai, developers can define and manage infrastructure using general-purpose programming languages. This empowers teams to utilize existing skillsets and tools, making the learning curve faster. In this tutorial, we will deploy GCP infrastructure and build CI/CD in our application using Pulumi and CTO.ai.

Before we get started, we need to create the Pulumi Token from your dashboard. Click on the Settings tab and select Access Tokens. Create an Access Token for your deployment.

Next, fork the GCP-Pulumi-Stack in the workflows repository, and download the ops cli.

Run and set up your Infrastructure

Next, you need to build and set up the infrastructure that will deploy each resource to GCP using the Pulumi Python framework. Set up your infrastructure using ops run -b . This will provision your stack using Pulumi.

  • Run the command in your CLI, and select setup - Setups infrastructure over GCP.
  • Select the environment you want to deploy your stack to. You can use the dev, stg or prod environment.

  • Select the service(s) to deploy; in this guide, we will select all the services to deploy to our GCP environment.

  • Next, your workflow will start deploying and creating all your resources on GCP using Pulumi.

  • You can also see the output directly in your terminal

View Resources in Pulumi

While your resources are deploying on the terminal, you can click on the view/preview link on your terminal, it will redirect you to view the resources directly on Pulumi.

With this, you can see all the changes and activity when creating your resources and how each configuration is deployed.

  • Explore the Pulumi dashboard to see all the changes implemented. On these resources, you can check for your workflow configurations in Pulumi, view policies, and set configurations.

Conclusion

Pulumi and CTO.ai are redefining the way organizations approach infrastructure deployment and management. By leveraging familiar programming languages and integrating with existing DevOps tools, it provides a smooth, powerful platform that accommodates complex infrastructure needs with elegance and efficiency.

Ready to transform your infrastructure management? Explore CTO.ai’s capabilities and get started on your journey toward seamless infrastructure deployment and management today!