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Terraform vs Kubernetes | Compare DevOps tools


This article compares the similar and unique capabilities of Terraform and Kubernetes software based on their usefulness to DevOps processes.

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What is Terraform?
What is Kubernetes?
Compare Terraform and Kubernetes features
Choosing Terraform vs. Kubernetes

To develop and deliver applications efficiently and quickly, many software tools on the market can help shorten the system development lifecycle and aid in infrastructure management. Terraform and Kubernetes are two software systems that provide useful tools and features for the application development lifecycle. This article will explain the features and capabilities of each DevOps Solutions.

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What is Terraform?

Terraform is an open source software tool created by HashiCorp. It helps users manage their data center infrastructure with automation, HCL, and other software features.

What is Kubernetes?

Kubernetes is a open source software systems that allow users to automate their software deployments. Additionally, it helps users organize and manage their containerized applications across multiple servers.

Compare Terraform and Kubernetes features

Multi-Cloud Deployment Lifecycle Management Subscribe to the private module The ability to automate Built-in container
staging
Terraform
Kubernetes

Common features of Terraform and Kubernetes

Deploy multiple clouds

Terraform can perform compliance and management in a multi-cloud environment. Its multi-vendor infrastructure topology allows users to manage workflows consistently across over 200 available vendors. These providers have infrastructure-specific APIs, and Terraform uses features from different vendors to organize them in a single topology. This way, users can use the same workflow to manage multiple vendors and dependencies across multiple clouds.

Kubernetes can also be deployed on multi-cloud environments. It is an open source tool that allows users to use hybrid infrastructure, cloud or on-premises. In addition, Kubernetes makes it possible for multiple cloud providers to be used in the same managed Kubernetes cluster. This is useful for hosting containers on cloud infrastructures, as the container hosting interface manages storage between Kubernetes and the cloud service provider APIs. However, to facilitate the operation of multi-cloud clusters, some automation features such as scaling and healing may need to be configured to only apply to nodes from only a cloud provider or deactivated altogether.

Lifecycle Management

Terraform users can manage their resource lifecycle with lifecycle arguments. They involve custom rules for creating and destroying resources. Resource is Terraform’s term for one or more infrastructure objects. Users can use their lifecycle arguments to look at the resources managed by their Terraform state file, prevent resource destruction, and create resources before they’re destroyed. Users can also exercise other lifecycle management options to avoid or regulate their resource deletion.

Kubernetes software users can manage the lifecycle of their teams. A Pod is the smallest deployable unit of computing in Kubernetes and is a group of one or more containers with shared storage and network resources. They follow a lifecycle that checks the state of the container based on their health. Kubernetes can replace failed containers based on user preferences. Kubernetes’ self-healing feature can also manage failed containers when they fail or when nodes die. These are just a few of the lifecycle capabilities that users can manage through their Kubernetes solutions.

The ability to automate

Terraform users can automate provisioning, compliance, and management of their infrastructure. Automation can provide consistency between runs, features to control Terraform output, etc. Terraform’s remote state feature, for example, can automatically save state for updates by passes. next run. It can then automatically restore the system to preserve these desired states. Additionally, Terraform’s use of version control integration allows the system to perform automated runs after a pull request is merged into the system master branch. The solution also allows users to automate provisioning and other aspects of the environment lifecycle.

Kubernetes has various automation features that can be useful for DevOps processes. For example, the system can automatically deploy applications or change their configuration while monitoring its health. If something goes wrong, the system will roll back the change automatically. Automated bucket packaging is another feature where Kubernetes sets containers automatically according to their specific resource constraints and requirements. In addition, users can automate storage orchestration to mount their preferred storage systems. Finally, the solution can scale user applications automatically based on CPU usage. Other automated capabilities also involve processes such as self-healing, logging, auditing, and more.

Choosing Terraform vs. Kubernetes

So, which of these software systems is a better choice for DevOps processes? To determine the answer to this question and use the best tool for your needs, consider how their features and capabilities will serve your systems development practice.

For example, if a system that supports multi-audio deployments is important to you, Terraform’s features may be more supportive of your needs. This is because the multi-cloud usage of Kubernetes may limit the functionality of some automated features. However, some users may prefer Kubernetes, because of its automation capabilities, like the unique storage orchestration feature. Therefore, if you are interested in these products, it will be helpful to evaluate their features and capabilities to determine the tool that has the best aspects for your DevOps needs.



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