Terraform Kubernetes Deployment: Fundamentals
Terraform is an infrastructure tool. It can define infrastructure through a human-readable coding system. To manage a workflow or deployment, you have to manage two things, cloud & resources. Terraform can easily manage low-level components like storage, network, and compute resources. Also, it can manage high-level components like SaaS features & DNS entries efficiently.
That is why many developers will choose to terraform there if a developer’s company has to choose an IaC (infrastructure as Code) tool for provisioning. That is because Terraform providers are very much compatible with Kubernetes. Terraform provides a significant contribution to Kubernetes deployment.
In this article, we will talk about Terraform Kubernetes deployment and some interesting facts about Terraform. So, let’s get the ball rolling!
Why Should You Use Terraform for Deployment?
When you are talking about Terraform tools for deployment purposes, you may wonder why Terraform. What purpose does it serve? That’s why you should know about some of its benefits regarding deploying issues. They are
- Observes the Relationship: Terraform can understand and establish a dependency relationship between resource and demand.
- Immutable infrastructure: Terraform immutable provision means it can replace the current configuration with a new one and make a reprovisioned infrastructure.
- Compatibility with the cloud: Other IaC tools work with a single cloud provider, whereas terraform can work with multiple cloud service providers. So. there will be no compatibility issues.
- Declarative Syntax: Terraform uses the same declarative syntax for both higher and lower underlying infrastructure for provisioning.
- Resource Management: You will not need to monitor API & identify required resources. It can track, create, update and delete those resources.
- Open source: Terraform has a large community to provide extensions, plugins, etc. It helps to evolve Terraform with new improvements and facilities.
Terraform in Kubernetes Deployment
Terraform has cores and plugins. Providers help to support the Terraform to any virtual platform with its accessible API (Application Programming Interface). Terraform cores have compiled files in them. Every compiled file acts as a command line. And the plugins are for defining resources. And single type plugins are the providers. The working process of the core consists of three stages.
- Writing: First, you have to create and define a configuration for deployment. Then you define resources on the cloud network with security and load balancer.
- Planning: Terraform observes the current configuration and infrastructure situation. Then it creates a management plan of deployment for further improvement.
- Executing: Terraform will start provisioning the infrastructure and will update the state file. This means it can even remake the cloud before scaling Kubernetes virtual machine.
Plugins do the work for cores. Cores and plugins can communicate with each other through the remote calling system. Also, there are alpha & official providers for Kubernetes. The official provider is well known and the alpha provider is the latest one. This is how Terraform is successfully deploying Kubernetes.
Interaction of Terraform Kubernetes Provider
The best way is to create & configure the namespace, deploy apps in a pod and expose the pods for user service. We can divide these steps into three steps.
- Configuration: First, it is essential to create a configuration file. On there, you will contain config inside it on the Terraform instance.
- Deployment: A pod contains many containers. These nodes will run the process based on available resources. Terraform can create and serve these pods in which Kubernetes will manage the containers.
- Exposing: Terraform will expose these pods for the user as a service. And the user can access these services. These will create loads of apps. But Terraform is capable of managing load balance with pods.
After that, deployment is good to go. You can check whether everything is working or not. You can use curl as Terraform output load from the terminal.
Then you enter the IP address in any browser. If everything is on schedule, you will see your welcome page.
Terraform Security with Kubernetes
Terraform uses a config map to set configuration on instances. However, this is not a safe step. Terraform makes all the files and information available to the total cluster resources. This increases speed and maintains scalability. Sometimes, this information can be sensitive like passwords, and confidential information.
Any users will not want their information roaming around freely in the whole cluster. They will want that only they can access those data, no one else. For this reason, terraform has a tool called Kubernetes secrets. It creates a secret personal resource by default. Terraform also creates a new namespace to make those resources available to any pod. And all of these will run under your terminal. That is how Kubernetes secrets work.
Terraform and Kubernetes
Provisioning the Kubernetes cluster is not easy. When you support the clusters for multiple clouds, the tasks will get more difficult. In this case, Terraform always comes in handy.
You can also use other full-cycle management tools. But Terraform can make configuring, deployment, and scaling options easy.
Kubernetes helps to orchestrate an app and Terraform will support Kubernetes infrastructure. So, they are connected with each other. Kubernetes deployment makes your work easy, but Terraform will make your work even more perfect. Terraform can detect any configuration changes. Then it notifies you. and gives you updates about the changes before applying the next orchestration. Other tools, not even Kubernetes can not provide you this benefit. Terraform providers for Kubernetes can efficiently orchestrate clusters in many popular cloud services like Amazon, Google, Azure, etc.
The main priority of Kubernetes is container orchestration. It helps developers to schedule the deployment onto pods and nodes to manage the workloads of the computer cluster. On the other hand, Terraform works as an infrastructure tool to automate and manage IaaS, PaaS, and SaaS services. Other IaC tools create mutable infrastructure. It means they can not detect any configuration change. Terraform can provision immutable infrastructure that can detect new changes. This minimizes the possibility of making bugs. Terraform can automate the provisioning of Kubernetes and partially manage Kubernetes clusters. So, it will support efficient Kubernetes to automate the deployment process.
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