AWS, Cloud Computing

3 Mins Read

Setting up IAAC (Terraform) Workflow in AWS

Voiced by Amazon Polly


In today’s dynamic cloud environment, automating infrastructure management is paramount for organizations seeking agility and scalability. This blog offers a comprehensive guide to harnessing the power of Terraform within Amazon Web Services (AWS). This blog explores the implementation of infrastructure as code (IAAC) principles, focusing on Terraform’s capabilities to define, provision, and manage AWS resources efficiently.

By integrating Terraform with AWS services such as AWS CloudFormation, AWS CodeCommit, AWS CodeBuild, and AWS CodePipeline, this guide empowers readers to establish an IAAC workflow. From infrastructure provisioning to deployment automation, this overview sets the stage for a journey towards enhanced productivity, collaboration, and innovation in the cloud.

In this blog, we will dive deep into the challenges of setting up Terraform pipeline manually and how this automation script will help streamline the pipeline setup process.

Challenges in manual pipeline deployment

Setting up a Terraform deployment pipeline in AWS can present several challenges, including:

  • State Management: Terraform state management becomes crucial, especially in a collaborative environment or when scaling infrastructure. Consistently maintaining and securely storing state files can be challenging.
  • Version Control Integration: Integrating Terraform code with version control systems like Git requires careful consideration to ensure proper versioning, branching, and merging strategies.
  • Pipeline Orchestration: Orchestrating the entire deployment pipeline, including triggering Terraform runs, handling dependencies, and managing parallelism, can be complex and requires careful design.
  • Testing and Validation: Ensuring the correctness and stability of Terraform configurations before deployment is essential. Implementing automated testing and validation processes can be challenging but crucial for reliability.
  • Resource Cleanup: Managing the resource lifecycle, including proper cleanup of unused or deprecated resources, is crucial for cost optimization and maintaining a clean environment.

Pioneers in Cloud Consulting & Migration Services

  • Reduced infrastructural costs
  • Accelerated application deployment
Get Started

About the template

The AWS CloudFormation template is designed in such a way that it would deploy all the services required for the Terraform pipeline. Such as AWS CodeBuild, AWS CodePipeline, AWS IAM roles and policies, AWS CodeCommit repo, Amazon S3 bucket, Amazon DynamoDB table, etc.

Github repo link:

Running the AWS CloudFormation template


  • In the next screen, choose the following and upload the ‘terraform-base.yaml’ file from the GitHub repository. Click next.


  • Provide a stack name. If you want to override a default variable, make the changes here. Then click on next.


  • Review and create the AWS CloudFormation stack. Once the stack is created, the following resources will be deployed:


  • Now, everything is ready for the terraform pipeline. Just push the terraform code in the AWS CodeCommit repository created by the AWS CloudFormation stack.

NOTE: Use the Amazon S3 bucket and Amazon DynamoDB table created by the AWS CloudFormation template in the Terraform code to store and lock the state file.


Establishing an effective Terraform deployment pipeline in AWS is critical to achieving automation, scalability, and reliability in cloud infrastructure management. While challenges such as dependency management, state handling, and credential security may arise, addressing them with careful planning, automation, and best practices can lead to a streamlined and efficient workflow. By integrating Terraform with AWS services and implementing robust pipeline orchestration, organizations can unlock the full potential of infrastructure as code (IAAC) to accelerate their cloud journey. With a solid foundation, teams can collaborate more effectively, iterate confidently, and adapt to evolving business needs with agility. As you embark on your IAAC journey in AWS, remember that continuous improvement and learning are key to maximizing the benefits of Terraform and AWS services in orchestrating your cloud infrastructure.

Drop a query if you have any questions regarding IAAC and we will get back to you quickly.

Making IT Networks Enterprise-ready – Cloud Management Services

  • Accelerated cloud migration
  • End-to-end view of the cloud environment
Get Started

About CloudThat

CloudThat is a leading provider of Cloud Training and Consulting services with a global presence in India, the USA, Asia, Europe, and Africa. Specializing in AWS, Microsoft Azure, GCP, VMware, Databricks, and more, the company serves mid-market and enterprise clients, offering comprehensive expertise in Cloud Migration, Data Platforms, DevOps, IoT, AI/ML, and more.

CloudThat is recognized as a top-tier partner with AWS and Microsoft, including the prestigious ‘Think Big’ partner award from AWS and the Microsoft Superstars FY 2023 award in Asia & India. Having trained 650k+ professionals in 500+ cloud certifications and completed 300+ consulting projects globally, CloudThat is an official AWS Advanced Consulting Partner, Microsoft Gold Partner, AWS Training PartnerAWS Migration PartnerAWS Data and Analytics PartnerAWS DevOps Competency PartnerAmazon QuickSight Service Delivery PartnerAmazon EKS Service Delivery PartnerAWS Microsoft Workload PartnersAmazon EC2 Service Delivery Partner, and many more.

To get started, go through our Consultancy page and Managed Services PackageCloudThat’s offerings.


1. Why use Terraform in AWS?

ANS: – Terraform simplifies and automates the provisioning and management of AWS infrastructure. It offers a consistent, version-controlled approach to infrastructure deployment, enabling scalability, reliability, and efficiency.

2. What are the key benefits of setting up a Terraform deployment pipeline in AWS?

ANS: – Setting up a Terraform deployment pipeline in AWS offers several benefits, including automation of infrastructure provisioning, improved consistency, scalability, collaboration, and faster time-to-market for applications and services.

3. What are some best practices for cost optimization when using Terraform in AWS?

ANS: – Best practices include leveraging AWS pricing models such as Reserved Instances and Spot Instances, implementing auto-scaling and resource tagging strategies, regularly reviewing and optimizing resource usage, and using AWS Cost Explorer and Budgets for cost monitoring and management.

WRITTEN BY Avinash Kumar

Avinash Kumar is a Senior Research Associate at CloudThat, specializing in Cloud Engineering, NodeJS development, and Google Cloud Platform. With his skills, he creates innovative solutions that meet the complex needs of today's digital landscape. He's dedicated to staying at the forefront of emerging cloud technologies.



    Click to Comment

Get The Most Out Of Us

Our support doesn't end here. We have monthly newsletters, study guides, practice questions, and more to assist you in upgrading your cloud career. Subscribe to get them all!