← Back to Blog

AWS Integration on Kubernetes: A Guide for Data Scientists

Kubernetes, the open-source platform for automating deployment, scaling, and management of containerized applications, has become a cornerstone of modern cloud architectures. In this blog post, we’ll explore how to integrate Amazon Web Services (AWS) with Kubernetes, enabling you to leverage the power of AWS services within your Kubernetes clusters.
By Saturn Cloud | | Miscellaneous

AWS Integration on Kubernetes: A Guide for Data Scientists

Kubernetes, the open-source platform for automating deployment, scaling, and management of containerized applications, has become a cornerstone of modern cloud architectures. In this blog post, we’ll explore how to integrate Amazon Web Services (AWS) with Kubernetes, enabling you to leverage the power of AWS services within your Kubernetes clusters.

Why Integrate AWS with Kubernetes?

Before we dive into the how, let’s discuss the why. AWS offers a plethora of services, from storage solutions like S3 to databases like DynamoDB. By integrating AWS with Kubernetes, you can utilize these services seamlessly within your Kubernetes applications, enhancing scalability, reliability, and performance.

Prerequisites

Before we start, ensure you have the following:

Step 1: Setting Up IAM Roles

First, we need to set up IAM roles that allow Kubernetes to interact with AWS services.

aws iam create-role --role-name KubernetesAdmin --assume-role-policy-document file://trust-policy.json

This command creates a role named KubernetesAdmin. The trust-policy.json file should specify the trust relationship for the role.

Step 2: Configuring Kubernetes Service Account

Next, we’ll create a Kubernetes service account and associate it with the IAM role.

kubectl create serviceaccount -n kube-system aws-integration

This command creates a service account named aws-integration in the kube-system namespace.

Step 3: Installing AWS Load Balancer Controller

The AWS Load Balancer Controller enables you to run AWS services as native Kubernetes resources. Install it using Helm:

helm repo add eks https://aws.github.io/eks-charts
helm upgrade -i aws-load-balancer-controller eks/aws-load-balancer-controller -n kube-system --set clusterName=<your-cluster-name> --set serviceAccount.create=false --set serviceAccount.name=aws-integration

Replace <your-cluster-name> with the name of your Kubernetes cluster.

Step 4: Integrating AWS Services

Now, you can start integrating AWS services into your Kubernetes applications. For example, to use an S3 bucket for storage:

apiVersion: v1
kind: Pod
metadata:
  name: test-s3
spec:
  containers:
  - name: test-container
    image: nginx
    volumeMounts:
    - name: s3-bucket
      mountPath: /usr/share/nginx/html
  volumes:
  - name: s3-bucket
    awsElasticBlockStore:
      volumeID: <your-volume-id>
      fsType: ext4

Replace <your-volume-id> with the ID of your S3 bucket.

Conclusion

Integrating AWS with Kubernetes opens up a world of possibilities for data scientists. By leveraging AWS services within your Kubernetes applications, you can build more robust, scalable, and high-performing cloud architectures. Start integrating today and unlock the full potential of your cloud infrastructure.

References

Keywords: AWS, Kubernetes, Integration, Data Science, Cloud Architecture, Amazon EKS, IAM Roles, Service Accounts, AWS Load Balancer Controller, S3, DynamoDB, Helm, kubectl, AWS CLI, Cloud Infrastructure

About Saturn Cloud

Saturn Cloud is your all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, and more. Join today and get 150 hours of free compute per month.

Try Saturn Cloud Now