15+ Terraform Real-Time Project Examples for Practice

Terraform Real-Time Project Ideas and Examples for Practice | ProjectPro

15+ Terraform Real-Time Project Examples for Practice
 |  BY Daivi

Terraform is reshaping the DevOps industry by redefining infrastructure management and enhancing the speed and efficiency of DevOps. With Terraform, you can specify infrastructure resources in human-readable configuration files that you can reuse, distribute, and modify. Terraform has more than 1700 service providers to govern thousands of different types of resources and services. This blog will cover the top 15 terraform real-time projects for practice.


ML Model Deployment on AWS for Customer Churn Prediction

Downloadable solution code | Explanatory videos | Tech Support

Start Project

Top 15+ Terraform Projects You Must Practice in 2023

Terraform Projects Examples

Let us start with interesting Terraform project examples you can browse through as per your expertise with using Terraform. 

Terraform Projects for Beginners

In this section, you will find examples of Terraform projects that are easy to implement.

1) Multi-Cloud Deployment using Terraform

Using Terraform for multi-cloud deployment is a powerful strategy that enables teams to deploy resources on different cloud providers, ensuring resilience, redundancy, and cost optimization.

For utilizing Terraform for multi-cloud deployment, start with defining the infrastructure to be deployed on each cloud provider using a separate configuration file for each provider. Create a Terraform module for each cloud provider that contains the necessary resources and dependencies. Then, make a root module that calls the various cloud provider modules while specifying the correct input parameters and variables. To guarantee that resources are only produced on the proper cloud provider, use conditional logic in the root module. Teams may monitor changes to infrastructure resources across several cloud providers using Terraform's state management system, which ensures consistency and allows rollbacks in case of mistakes or failures.

ProjectPro Free Projects on Big Data and Data Science

2) Deploy Discourse on Digital Ocean using Terraform

This Terraform real-time project example uses the DigitalOcean and Mailgun providers; however, you can change the configuration to employ any other Terraform providers, such as Route53 or DNSimple. The first step in this project is accessing or creating a DigitalOcean Account. Terraform automatically gathers and merges all *.tf files in a directory. To develop your infrastructure, you must execute the terraform plan and terraform apply commands consecutively.

3) Kubernetes Cluster Deployment

One can use Terraform to deploy Kubernetes clusters on different cloud providers, including AWS, Azure, and GCP. Using Terraform for Kubernetes cluster deployment enables teams to manage infrastructure resources and configurations as code, providing consistency and version control across multiple environments.

Terraform modules can be used to separate the Kubernetes cluster infrastructure into logical components, such as the control plane and worker nodes. Terraform can also be integrated with other tools, such as Helm and Kustomize, to enable the deployment of applications and services on the Kubernetes cluster.

Here's what valued users are saying about ProjectPro

ProjectPro is an awesome platform that helps me learn much hands-on industrial experience with a step-by-step walkthrough of projects. There are two primary paths to learn: Data Science and Big Data. In each learning path, there are many customized projects with all the details from the beginner to...

Jingwei Li

Graduate Research assistance at Stony Brook University

Having worked in the field of Data Science, I wanted to explore how I can implement projects in other domains, So I thought of connecting with ProjectPro. A project that helped me absorb this topic was "Credit Risk Modelling". To understand other domains, it is important to wear a thinking cap and...

Gautam Vermani

Data Consultant at Confidential

Not sure what you are looking for?

View All Projects

Terraform AWS Projects

In this section, you will find AWS terraform projects that utilize AWS technologies and Terraform.

4) ML Model Deployment on AWS for Customer Churn Prediction

This Terraform project tries to implement a model that predicts whether or not a customer will churn soon. Working on this project will help you learn more about Terraform and its use in developing AWS services. When deploying the application, you will use the Gunicorn web server to build an AWS s3 bucket and an ECR repository. You will also understand how to store the Terraform state in the AWS S3 backend bucket.

5) Deploy a Site-to-Site VPN Between AWS and Azure using Terraform

This exciting project aims to create a tunnel between an AWS VPC and an Azure vNet so that resources from each cloud provider may be accessed as though they were on the same local network. Creating the fundamental Azure infrastructure is the first step. A Virtual Network Gateway in Azure is set up in the second step. It is the part of the system capable of utilizing a VPN and exposes one or two public IP addresses to connect to AWS on the other side of the tunnel. Extract the two public IP addresses from AWS using Terraform's data resource. The last step is to build the Azure components that connect to AWS. You must establish a connection mesh between two IPs on AWS and each Azure Virtual Network Gateway IP address to achieve full high availability.

6) Deploy a Django App to AWS ECS using Terraform

Through this terraform project example, you will learn more about Terraform and how to use it to develop infrastructure as code. You will store the images for this project in the ECR Docker image registry. Create the necessary Terraform configuration and use it to launch an ECS cluster and AWS infrastructure. After that, deploy a Django application on a group of EC2 instances controlled by an ECS Cluster. Finally, set up an HTTPS listener for an AWS load balancer and configure AWS RDS for data persistence.

Intermediate-level Terraform Projects

This section has terraform examples of projects meant for individuals who have some experience with using Terraform.

7) Deploy OpenStack Instances using Terraform

In this sample Terraform project, you will use Terraform to deploy two OpenStack instances, set up a web server on each one, and set each server up with a default index.html page that displays its hostname. You will first define the variables and store all the data necessary to interact with your OpenStack infrastructure. Next, specify how many instances will be deployed and give each one a proper name. Additionally, you must determine that the instance should execute a number of the commands in the bootstrapweb.sh file.

8) Infrastructure Monitoring and Alerting

Terraform allows its users to automate the setup of monitoring and alerting for their infrastructure. With Terraform, one can define their monitoring infrastructure as code and version control it in a source code repository. That makes it easy to track changes and maintain a history of the monitoring infrastructure. 

Infrastructure Monitoring and Alerting

Additionally, one can use Terraform modules to provision resources such as monitoring agents, log collectors, and alerting services. That allows a user to set up a comprehensive monitoring solution for their infrastructure in a matter of minutes. One can then integrate the monitoring solution with tools like Prometheus and Grafana to create custom dashboards and alerts.

9) Continuous Deployment with Terraform

Terraform can be used to automate the deployment process and ensure consistency in the project solution infrastructure. To enable continuous deployment, you can integrate Terraform with a CI/CD tool like Jenkins or CircleCI. These tools can be configured to automatically apply changes to your infrastructure whenever changes are pushed to the source code repository. That makes it easy to deploy changes to the infrastructure with confidence and without manual intervention.

Advance Terraform Projects

This section contains a list of challenging Terraform projects.

10) Serverless Application Deployment

In order to install serverless apps on cloud infrastructure like Amazon Web Services (AWS) or Microsoft Azure, one can build a Terraform project for serverless application deployment. Terraform modules can be used to implement the project and describe the cloud resources needed for the serverless application, including Lambda Functions, API Gateway, and other services. The infrastructure may be provisioned, configured, and managed using Terraform scripts, which enables developers to automate the deployment procedure and cut down on the amount of time needed to deploy new versions of the application. Additionally, the infrastructure may be tracked and versioned using version control programmes like Git, guaranteeing that the deployment process is consistent and repeatable.

11) Automating the Disaster Recovery Process

Automating disaster recovery for mission-critical systems can be a challenging task that requires specialized knowledge of backup, recovery, and failover procedures. Using Terraform, developers can build a disaster recovery infrastructure that automatically backs up and recovers critical systems and applications in case of an outage. The project can involve building infrastructure-as-code for deploying redundant systems, configuring backup and recovery policies, and setting up automated failover and failback procedures to ensure that the system is always available.

12) Cloud-Native Microservices Deployment

Deploying microservices on a cloud-native infrastructure is a complex task that requires expertise in various areas such as networking, security, scalability, and high availability. Using Terraform, developers can build a highly automated and reusable infrastructure for deploying cloud-native microservices on cloud platforms like AWS or Google Cloud. The project can include infrastructure-as-code for deploying containerized applications, load balancers, service meshes, and monitoring tools.

Terraform GitHub Projects

This section includes a list of projects on Terraform that you can take a deeper look at and even contribute if interested.

13) Deploying Azure Services with Terraform

This Terraform project on GitHub offers a collection of Terraform modules and examples for deploying and managing services on Microsoft Azure. It includes Terraform code for provisioning Azure resources such as Virtual Machines, Virtual Networks, Storage Accounts, and Kubernetes clusters. 

Deploying Azure Services with Terraform

The repository also includes examples of how to use Terraform to deploy a simple web application on Azure using Azure App Service and Azure Database for MySQL. You can the repository as a reference implementation for infrastructure-as-code on Azure using Terraform and get started with deploying services on Azure using Terraform.

Repository Link: https://github.com/stacksimplify/terraform-on-azure-cloud 

14) Terraform Kubernetes Provider

 The Kubernetes provider for Terraform allows you to provision and manage Kubernetes resources using Terraform. This project provides a high-level abstraction layer over the Kubernetes API, making it easier to manage complex Kubernetes environments with Terraform. It includes support for managing Kubernetes resources such as Pods, Services, ConfigMaps, and Ingresses.

Repository Link: https://github.com/hashicorp/terraform-provider-kubernetes 

15) Terraform AWS Modules

This project provides a collection of Terraform modules for deploying and managing resources on Amazon Web Services (AWS). It includes modules for provisioning AWS resources such as EC2 instances, RDS databases, and Elastic Load Balancers, as well as modules for managing AWS infrastructure components such as VPCs and Security Groups.

Repository link: https://github.com/terraform-aws-modules 

16) Terragrunt

Terragrunt is a thin wrapper around Terraform that provides extra functionality for managing complex Terraform deployments. It includes support for managing multiple Terraform modules across multiple environments, remote state management, and dynamic configuration generation. Terragrunt simplifies the process of managing Terraform deployments at scale and reduces the risk of human error.

Terraform Projects

Repository link: https://github.com/gruntwork-io/terragrunt 

How to Structure a Terraform Project?

How to Structure a Terraform Project

By nicely structuring a Terraform project, you can easily organize and manage infrastructure as code (IaC). A well-structured project on Terraform will help ensure consistency, reduce errors, and make collaborations with others a smooth process. Here are a few practices for structuring a Terraform project:

  • Organize Code into Reusable Modules: Modules are  groups of codes that one can use across multiple environments or projects. Modules should be designed to be generic and reusable, so they can be easily utilized for different situations.

  • Use Remote State Management: Terraform defaults to storing infrastructure state locally, however it's preferable to use remote state management to keep state files in one place. When several people are working on the same project, this aids in the prevention of mistakes and discrepancies.

  • Use Variables to Customize Configurations: Terraform allows its users to use variables for customizing configurations for different environments. For example, one can use variables to specify different AWS regions or VPCs for development and production environments.

  • Use a Consistent Naming Convention: It is simpler to handle resources and helps to prevent confusion to have a uniform naming system. When naming resources, be specific and follow your team's naming convention.

  • Use Terraform Workspaces: With Terraform workspaces, you can control different environments, such as development, staging, and production, within a single project. As a result, managing setups for various contexts may be done without the need for separate projects.

  • Use Version Control: To keep track of changes and communicate with others, store your Terraform code in a version control system like Git. A README file that describes how to use the code and any dependencies must be included.

  • Use Terraform Modules from the Community: You can use the reusable modules created by the Terraform community to speed up your projects. Verify if a relevant module already exists before creating your own.

Your Terraform project can become more manageable, scalable, and collaborative by adhering to these recommended practises.

Learn how to use Terraform like a Pro with ProjectPro!

If you are a beginner who has minimal experience with using Terraform as a tool, it can be pretty challenging to start working on Terraform projects. But all such worries can come to an end if you start using ProjectPro. ProjectPro offers a subscription to a repository of solved projects in Data Science and Big Data that you can use to get started with tools like Terraform. The projects have been developed by a team of experienced professionals in the field and are specially designed in a beginner-friendly manner. If you are a working professional in the two domains, you can leverage these solutions to quickly learn about new tools and technologies instead of pursuing a course to learn each of them.

FAQs on Terraform Projects

The best practice for structuring Terraform projects is to organize the code into modules, separating the infrastructure into logical components. Use naming conventions for resources and modules that are easy to understand and maintain, and separate environment-specific variables and configurations into separate files. Use version control and apply changes in a controlled manner.

Terraform is an infrastructure as code (IaC) tool use that allows it users to create, edit and version cloud infrastructure resources across multiple providers. It supports the creation of complex infrastructure easily and provides consistency across different services used.

Yes, Terraform is still a popular infrastructure-as-a-code tool used widely in the industry. It has a large and active community, and its popularity has been increasing due to its ability to simplify cloud infrastructure management, enable version control, and increase the speed and efficiency of deployments.

 

PREVIOUS

NEXT

Access Solved Big Data and Data Science Projects

About the Author

Daivi

Daivi is a highly skilled Technical Content Analyst with over a year of experience at ProjectPro. She is passionate about exploring various technology domains and enjoys staying up-to-date with industry trends and developments. Daivi is known for her excellent research skills and ability to distill

Meet The Author arrow link