AWS Fargate – A Compute Engine For ECS and EKS - NareshIT

Through containerization, businesses can now build, deploy, and administer the application at an increased pace. And the containerization demand is increasing day by day. You will find an excess of containers and container orchestration services that are on the market today. The majority of them need you to configure and administer the clusters of the virtual machines for running the containers. And here comes the AWS Fargate into the vicinity. In this artifact, we are going to learn about Fargate, which is a serverless computing platform for running containers without any other headaches. And we will be covering in this artifact the reasons for its requirement, what it is, it's working, and finally, a demo showing how we can make use of it. Naresh I Technologies is the number one computer training institute in Hyderabad and among the top five computer training institutes in India. We offer complete AWS training for all AWS certifications. Contact us anytime for your AWS training.

- Need for AWS Fargate

Before the container services era, users need to launch their applications on the VM. They used to deploy the EC2 instances. They used to package the applications with the OS into AMI or Amazon machine image and then run it on the AWS EC2 instance.

Then came the containers introduced by the docker, and people began to deploy the applications over these. They resembled the VM. And one main difference is that not unlike VMs, they share the host system's kernel with all the containers on them. It's better understood through the below diagram.

Hence, as the containers were popularized, people began to use them on a scale. And the container number over the EC2 instance increased, which in turn increased the number of EC2 instances. AWS then came up with the Amazon Elastic container service known as ECS.

However, what is it? It can scale to any level and ensure a high-performance container orchestration service. And it reduced some of the headaches of the user while administering. Though, the user still needs to "administer" the underlying instances which hosted the container apps.

It provided AWS with an ideology to start a service that can handle all the VMs and the user only needed to focus on application building. And this service is the AWS Fargate.

In this article, you will get an idea of how you can run the containers on the ECS without configuring and administering the VMs on which we host them.

- What is AWS Fargate?

Fargate is a compute engine for the ECS, which leverages you to run the containers without the headache of provisioning, configuring, and scaling the VM clusters which host those container apps.

By making use of the Fargate user is not required to manage the EC2 instances, and in fact, they need not make use of EC2 instances to any extent. The compute engine for them is the fargate. It helps you focus on designing and constructing the application rather than managing the infrastructure which runs it. Through the Fargate launch type, you only need to package your application in these containers and mention the CPU requirement and the memory. And you need to configure IAM policies and finally launch the app.

Through AWS Fargate, you can also scale your applications. You only need to mention application requirements, and Fargate will administer scaling and the infrastructure required for running the containers with high availability. It faultlessly combines the "ECS and EKS, stages, and administers the containers."

However, how does this whole process of staging containers without underlying servers work? Let's have a look.

- Working on Fargate

Before having a look at how AWS Fargate works, let's have a look at the terms you witness while making use of the Fargate.

Container: It's the standardized unit of software development that contains everything which you need to run your software application code, like runtime, system libraries, system tools, and various others.?And these containers are made by reading only a template known as a container image.

Container Image: The images formulated from the docker files is a files containing plain text, which mentions all of the components which are part of the containers. And these images are saved in the registry from where you can download and then run them in the "container."

Task Definitions: This is a text file made in JSON format, and it describes one or more containers that form the application. You can take it as a blueprint for the application.

Task: The task applies for instantiating within the cluster the task definition. You get the option for mentioning the task number, which will be running on the "cluster."

Clusters: This is a logical grouping of the resources that the application requires. And if you make usage of the Fargate launch type that ensures tasks inside "clusters," then ECS administers the cluster resources. And if you make use of launch type EC2, then the cluster is the group of AWS EC2 container instances that you manage.

Now we are all set to venture ahead. And the details below will let you know how we deploy the applications on ECS with the help of Fargate.

At first, you have to make the container image according to your application, and then you have to store it in the registry. Now pick the container orchestration service, which can be ECS or EKS, and assign the resources to the application. Now you have to make a cluster for grouping connected resources. Now you have to choose the AWS Fargate launch type. It will launch Fargate and run all the containers. It administers the fundamental infrastructure and the clusters. Also, it faultlessly scales the app's requirements, and you need not bother about it. And that's why Fargate is a favorite of many.

Now we can move forward and deploy the simple web app on the ECS with the help of the AWS fargate launch type.

- Demo: Fargate in Action

You can follow the below steps for deploying the simple web app on EC2 through AWS launch type Fargate.

Note: You need to be in the AWS region where Fargate is available. Like N. Virginia is one option.

Step 1: On the ECS console, opt for "Get Started."

You will see a page saying: "Getting started with Fargate."

Step 2: Now define the container. And you can select the preloaded ones if you are new.

Step 3: Now, make the task definition. You can apply the sample task definition or rename it, and then configure made use by the task like Task memory and the Task CPU values through Edit option. The network mode is awsvpc, the task execution role is "create new," compatibilities are Fargate, task memory can be as required, and the same is for Task CPU.

Step 4: Now configure the service which launches and manages the required number of the task definition in the cluster. You can make use of the service definition, which is preloaded, or you can do its renaming and then finally make the changes in the details through Edit.

Step 5: Finally, you need to do the configuration of the cluster. Now name it, and after that, ECS controls the networking and the IAM configuration. Now review all that you have accomplished till now, and finally clunk on Create for finishing.

Congrats! You have hosted a simple web app using Fargate.

Suppose your service is a web-based app, then you can view it on a browser.

Step 6: Now check for the IPv4 Public IP address of the service in the network section, and then type it in the browser. You can now view the webpage there.

That completes our tutorial.

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