terraform best practices

Terraform Best Practices

With the help of infrastructure as code (IaC), it is possible to deploy and manage cloud resources without any hassle. Infrastructure is managed via code similar to services and applications. The infrastructure can be anything, including database, server, network, application stacks, or even Kubernetes clusters.
Cloud infrastructure is quickly gaining popularity among businesses, whether big or small, mainly because of the increasing cloud footprint.

Terraform is one of the best tools that help businesses manage cloud implementations. However, are you certain you’re using Terraform best practices during implementation?

Read on to find the best practices for implementing Terraform in your infrastructure.

What is Terraform?

HashiCorp, a leading software company, developed Terraform. It is a useful tool that effectively helps build, version, and change on-premises and cloud resources within an infrastructure. It converts the files into a human-readable configuration to make them easier to reuse or share. The best thing about Terraform is that it can be used with almost all cloud providers, including Google Cloud, AWS, Azure, IBM Cloud, etc. Moreover, it also works well with on-prem cloud frameworks such as VMWare
If you want to use Terraform to the max potential, you need to improve its implementation. In this article, you will learn about the best practices for implementing Terraform.
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Terraform Best Practices

Here is a list of the four best practices for implementing Terraform to improve projects:
  1. Use a Shared Backend Location for Terraform State

    Whenever Terraform is first to run against any account based on cloud infrastructure, it creates an intermediate consistent data store. This data store maintains the cloud infrastructure state representation by invoking Terraform tools.

    Generally, accounts based on cloud infrastructure aren’t capable of maintaining exact changes made to it; this is where Terraform comes in. The Terraform state allows users to track changes in the resources and determine which changes are needed so that the cloud infrastructure matches the Terraform code.

    You can choose from a wide range of services to store your Terraform state. These include but aren’t limited to a shared file system, local file system, relational database, and shared object-store location. It doesn’t matter how many infrastructure code developers you might have; you should always use one shared backend location as best practice.

    To ensure that only a single infrastructure provisioning operation is underway at a given time, you must always leverage a locking mechanism. You can choose from one of the many options of locking mechanisms available to you.

    Maintaining the Terraform states from one shared location lets you make your infrastructure more secure. You can impose authorization and restrictions to control who and how your infrastructure is updated.

  2. Group Resources by Environment or Application

    You can structure your infrastructure code however you want without any interruptions from Terraform. You can implement small atomic components that can be individually tracked or provisioned. Moreover, the system allows you to implement a megalithic structure where all the cloud resources are described, even across different environments.

    You can choose from any of the two extremes. However, the best practice would be to group relevant resources by application or environment in this case. Moreover, you should always create a separate state location in Terraform for every group you create.

    Of course, this also implies that you’ll have to deal with numerous state locations; however, the logical separation of applications from environments will significantly boost Terraform’s performance. Moreover, it also helps in preventing conflicts.

  3. Minimize Reuse by Abstracting or Decomposing Terraform Code

    Coding frameworks in Terraform code can be written well or poorly. In the case of poorly written code, the infrastructure will become tough to maintain due to bugs and a slow pace. However, the infrastructure can be broken down into modules with Terraform to enable a good design. The modules are atomic infrastructure components with well-defined outputs and inputs.

    These modules can create infrastructure representation that can be reused or maintained. It is only possible because the modules create reusable components that match your application’s implementation.

    Let’s look at an example. Suppose you have an application with an RDS instance, S3 bucket, and EC2 instance. The correct choice of action would be to create a separate module for each, i.e., RD instance, S3 bucket, and EC2 instance. The next step would be to create one more module that controls all previously created modules. This module will represent the application and be used as a reference in the actual environment logic provisions.

    The use of multi-level representation allows the reuse of standard resource modules. They can be used for fully-composed and other application modules across several environments.

  4. Separate Modules and Environment Implementation Codes

    You must separate the logic into different modules. Moreover, you should maintain a different state for each application and environment. However, that’s not all. You should also break the Terraform provisioning and module code into different locations.

    As a rule of thumb, modules are maintained in their specific Git repository. Any environment that needs provision needs to have a separate Git repository maintained. As a result, you can collaborate and reuse the modules and ensures that the module library is segregated from the environment-centric code.

Frequently Asked Questions

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Since Microservices are small specialized services, they can be quickly and efficiently rearranged to accommodate future capabilities unknown at the present time.
Microservices are independent and modular which allows for significant flexibility in communications patterns and often prevent cascading failure.
DevOps is the combination of development and operations into a single function of software development and infrastructure management. The main priority of DevOps is the reduction of barriers to speed of delivery.
DevSecOps empowers everyone in the development process using a security focused tool set to address timely security decisions at speed and scale of each development stage. The main priority of DevSecOps is risk reduction through DevOps security accountability and governance.
Security automation in DevSecOps increases speed of code releases while reducing the risk using static application security testing (SAST), dynamic application security testing (DAST), and code dependency checking.
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Final Words

Since Terraform is so flexible and handy, it is popularly used for managing different cloud infrastructures. Although it is a handy tool, the fact remains that it is complex to use. Of course, if you follow the four Terraform best practices discussed above, you can easily avoid many downsides during use. Moreover, it will create a smooth path for you that will lead to the complete automation of your IaC or infrastructure as code.

Of course, the code never stays the same, and the best practices keep changing with the code. You must keep yourself in the loop with the latest upgrades to ensure you implement Terraform in a way that unleashes its complete potential. Contact us for services and solutions related to the Terraform Best Practices.

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