Constructing A Kubernetes App with Amazon EKS - NareshIT

Kubernetes is now best known for managing applications in the production environment in containers. A lot of developers are now using Kubernetes, as the cluster management process is no more popular as it takes time. Developers are now using the Amazon Elastic container service EKS, which is for Kubernetes, and it leverages developers to develop Kubernetes clusters in the cloud in no time. In this artifact, we are going to cover all about EKS. Naresh I Technologies is the number one computer training institute in Hyderabad and among the top 5 computer training institutes in India. Contact us now for your AWS training, and we cater to all AWS certifications.

- Amazon EKS & its Profits

Containers are in business since we are using Linux. And Docker is the contemporary version of Containers. Moreover, Kubernetes is the software that leverages us in deploying and managing containerized applications, and at scale with transportability and extensibility, that helps you to scale the containers flawlessly. However, there is a drawback, in that it registers quite a bit of time for deploying a cluster comprising of the master-worker node. A solution to this is Amazon EKS.

Amazon EKS

The Amazon EKS or the Elastic container service for Kubernetes is a managed service that leverages the users for running Kubernetes on the AWS, and there is no requirement for keeping track of the upkeep of the individual Kubernetes control plane. And since it's a managed service, AWS controls the tasks like provisioning, patching, and upgrades.

And that is the definition. Let's now have a guise at the advantages that using leverage through Amazon EKS.

The AWS EKS operates the Kubernetes management setup over a bunch out of all availability zones, hence ensuring that the user is free from taking care of the Kubernetes control plane.

There is a secure communication channel encrypted between the worker nodes and the Kubernetes endpoint, and this makes the infrastructure of the AWS EKS secure.

AWS does communicate with Kubernetes communal, and it is a key player in the Kubernetes codebase.

Applications under EKS are entirely well-suited with an application which are being accomplished by another Kubernetes environment.

?Hence, now we are confirmed that EKS is good enough for usage, let's now see how it operates.

- How does Amazon EKS operate?

It's easy to start with the Amazon EKS:

1.??????You need to first create the EKS cluster via the AWS management console or the CLI or through AWS SDKs.

2.??????Now you need to stage the worker node and make it a part of the AWS EKS cluster that you made earlier.

3.??????And when the cluster is all set, you can now accomplish the Kubernetes tools as they can interconnect with the "cluster." In detail, you are constructing Kubernetes tools.

4.??????Now you need to deploy and do the administration of the applications on the AWS EKS cluster in the mode that you use with any supplementary Kubernetes environment.

Now let's have a look at how we can deploy the containerized application in the Kubernetes cluster with the help of EKS.

- Build a Kubernetes app with EKS

Here, we are going to deploy an Nginx app on the Kubernetes cluster with the help of EKS. Below is the list of steps you are required to follow:

1.??????At first, you need to make an AWS IAM service role plus VPC.

2.??????Now make an EKS cluster.

3.??????Now construct Kubectl for the EKS cluster.

4.??????Stage and configure the EKS worker nodes.

5.??????Stage a modest nginx application

6.??????Finally, clean up the app and all used resources.

Now let's have a look at all of the above in detail:

Prerequisites

Make sure you can log in with the help of the AWS IAM account identifications. If you are not having these, you need to generate an AWS account and make an IAM user there.

You should have the newest version of AWS CLI.

Step 1: Make an IAM service role. Also, make VPC.

Firstly, you need to generate an IAM role that Kubernetes can make use of for creating the AWS resources. For doing this:

Move to the IAM console and in the "Role" section, click on "Create role."

Now choose the AWS service as an entity type and the service as EKS.

Now enter the service role name and then click on "Create role" for creating a role.

The EKS needs a VPC for the deployment of the cluster. And for creating this "VPC," you need to follow below steps:

Move to the AWS CloudFormation console. Now clunk on "Create Stack."

Now on the page "Select Template," opt for "Specify the Amazon S3 template URL." And lastly, input the URL

Once all detail added, go through them, and on the confirmation, click on "Create" for proceeding.

Step 2: Make an EKS cluster.

Now you are good to make an EKS cluster. For this:

Move to the EKS console. Now clunk on the "Create cluster."

Now enter all required on the EKS cluster creation form like cluster name, VPC, role ARN, subnets, and security groups,

Now clunk on "Create" for creating the AWS EKS cluster.

Step 3: Now construct the Kubectl for the EKS cluster

Kubernetes make use of the CLI utility known as Kubectl for interconnecting with the Kubernetes cluster. The EKS cluster also needs an AWS IAM authenticator such that Kubernetes permits IAM authentication for the EKS cluster.?Hence, you need to install each of these binaries. You can find the details for downloading and setting up the Amazon EKS documents.

Please note: You should have AWS CLI mounted, and the Python version should be 2.7.9 or more.

Other than these, you need to make a "kubeconfig file" for the cluster. We can do this through the AWS CLI command as below:

Make use of the update-kubeconfig command for creating or updating the Kubeconfig for the cluster you have made.

Now assess your "conformation."

Step 4: Now, Stage and do the configuration of the EKS worker nodes.

Step 5: Now wait till the cluster status is active. It is because if you stage your worker node before your cluster becomes active, then the worker node is not going to record with the "cluster," and then a relaunch is needed.

And once the cluster control plane is activated, you then need to add the nodes. For doing that:

Now move to the AWS CloudFormation console and then click on the "Create stack" option.

Now on the "Select Template" page, you need to opt for "Specify an Amazon S3 template URL" and now pass in the URL.

Now on the "Specify Details" sheet, add all the details. You need to add the stack name, EKS cluster name, select “clustercontrolplanesecuritygroup,” mention Node Group Name, Node Auto Scaling Group Min size, Node Instance type, Node Image ID, Node volume size, key name, VPC ID, and subnets.?You can set the Node Instance type to be t2.micro, and node Image ID is the AMI ID of the node instance. And you need to select the key pair of the EC2 instance as the key name and mention the VPC ID and subnets. These are the same as you used while creating the EKS cluster.?

Now, as the stack creation completes, you need to select the stack name from the available stacks and then choose the "Outputs" segment, which you will find on the below-left page. Note down the Role ARN.

Now for enabling the worker nodes for joining the Kubernetes cluster, you need to follow the below steps:

Now on the local system, you need to create the file known as AWS-auth1-YAML and paste the content as given below. And substitute with the node instance role the AWS-ARN, which you noted while creating the stack.

Now apply the confirmation. It will take only a few minutes to complete. The command is:?

You then have to watch the node status and then wait for it gets to the ready state. For this, you need to use the command?

Now you need to launch the modest Nginx application

For creating the application, you have to make a Kubernetes object of Deployment type. And on the local system, you need to create the nginx1.yaml and then paste the below content.

Now, for the application backup, you need to make the Kubernetes object of service type. It is a construct that defines the logical set of the Pods which runs on the cluster, and this delivers the same functionalities as that you made earlier. And on the local system, you need to make a file called nginx1.yaml and then add the below content over there.

Now you need to make an Nginx app and the Nginx service. The command for it is

Now list the services that are running and note down the external IPs and the port. The command for this is:

Now once the external IP is ready, you need to open that in the web browser at the ports you have noted down for viewing the nginx application.

You will now see the Nginx application.

Congrats! You have successfully deployed the containerized application over the Kubernetes cluster with the help of the EKS.

?Step 6: For cleaning the application and the resources that are assigned.

Since our experiment is now complete, we need to freshen up the resources that we have created as that can incur some costs otherwise. This is possible with the below command.

For deleting service

And that completes our tutorial.

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