In today’s fast-paced world of software development, deploying scalable and reliable microservice applications is essential. Microservices allow for the efficient management of various components of a complex application, ensuring flexibility and robustness. To help you navigate this journey, we’ve prepared a comprehensive step-by-step guide on deploying a Python-based microservice application on AWS Elastic Kubernetes Service (EKS).
This application is composed of four pivotal microservices: the auth-server
, converter-module
, database-server
(leveraging PostgreSQL and MongoDB), and the notification-server
. By the end of this guide, you'll have a fully operational microservices-based application up and running on AWS EKS.
All credits To Nasiullha Chaudhari
YouTube video: https://youtu.be/jHlRqQzqB_Y?si=oVjnBLWD5JEs_dFW
Prerequisites:
Before we dive into the deployment process, make sure you’ve completed the following prerequisites:
Create an AWS Account: If you’re new to AWS, it’s essential to have an AWS account to access the services and resources required for this deployment. Don’t worry; we’ll guide you through the process.
Install Helm: Helm, a Kubernetes package manager, simplifies the deployment of applications on Kubernetes clusters. We’ll walk you through the installation steps.
Python Installation: Ensure that Python is installed on your system. You can download it directly from the official Python website if needed.
AWS CLI: The AWS Command Line Interface (CLI) is your command-line interface to AWS services. We’ll help you set it up for seamless interaction with AWS resources.
kubectl Installation: Kubectl is the command-line tool for interacting with Kubernetes clusters. Installing it is crucial for managing your EKS cluster.
Database Setup: As our microservice application relies on both PostgreSQL and MongoDB, ensure that these databases are set up and ready to go.
With these prerequisites in place, you’ll be well-prepared to embark on your journey to deploy a Python-based microservice application on AWS EKS. This guide will take you through each step, providing clear instructions and best practices to ensure your success.
Launch an Ec2 Instance
To launch an AWS EC2 instance with Ubuntu 22.04 using the AWS Management Console, sign in to your AWS account, access the EC2 dashboard, and click “Launch Instances.” In “Step 1,” select “Ubuntu 22.04” as the AMI, and in “Step 2,” choose “t2.medium” as the instance type. Configure the instance details, storage, tags, and security group settings according to your requirements. Review the settings, create or select a key pair for secure access, and launch the instance. Once launched, you can connect to it via SSH using the associated key pair.
Create an IAM ROLE
Navigate to AWS CONSOLE
Click the “Search” field.
Type “IAM enter”
Click “Roles”
Click “Create role”
Click “AWS service”
Click “Choose a service or use case”
Click “EC2”
Click “Next”
Click the “Search” field.
Add permissions policies Administrator Access
Click Next
Click the “Role name” field, Add the name
Click “Create role” (JUST SAMPLE IMAGE BELOW ONE)
Click “EC2”
Go to the instance and add this role to the Ec2 instance.
Select instance → Actions → Security → Modify IAM role
Add a newly created Role and click on Update IAM role.
Now connect to your Ec2 instance using Putty or Mobaxtrem.
Clone this repo
https://github.com/Aj7Ay/microservices-python-app.git
Change into the microservices directory
cd microservices-python-app
Provide the executable permissions to the file
sudo chmod +x script.sh
#run this script
./script.sh
This script does the following:
It sets up your system with the necessary tools and services for your environment.
Check versions once the script completes running.
# Check Versions
terraform -version
kubectl version --client --short
aws --version
helm version --short
python3 --version
postgres --version
mongod --version
docker version
Now go inside Eks-terraform to provision Eks cluster with terraform files
cd Eks-terraform
Now you can see terraform files and make sure to change your region and S3 bucket name in the backend file.
Now initialize
terraform init
Validate the code
terraform validate
Let’s see plan
terraform plan
Let’s apply to provision
terraform apply --auto-approve
It will take 10 minutes to provision
It will create a cluster and node group with one ec2 instance
Node group ec2 instance
Now come outside of the Eks-terraform directory.
cd ..
Now update the Kubernetes configuration
aws eks update-kubeconfig --name <cluster-name> --region <region>
Let’s see the nodes
kubectl get nodes
If you provide ls, you will see Helm_charts
ls -a
Let’s go inside the Helm_charts
cd Helm_charts
ls
Now go inside MongoDB and apply the k8s files
cd MongoDB
ls
helm install mongo . #to apply all deployment and service files
Now provide the command
kubectl get all
Now see Persistent volume
kubectl get pv
Now come back
cd ..
cd Postgres
sudo vi init.sql
Change your mail here
Apply the Kubernetes files using Helm
helm install postgres .
Let’s see the pods and deployments
kubectl get all
Let’s add some ports for our node group ec2 instance
Go to the Node group ec2 instance and select the security group of the node group
Add these rules for it
Now copy the public IP of the Node group ec2 instance
Go back to Putty and paste the following command with updated details
mongosh mongodb://<username>:<pwd>@<nodeip>:30005/mp3s?authSource=admin
#username use nasi
#pwd nasi1234 #if you want to update them go to mongo secrets.yml file and update
#nodeip #use your node ec2 instance ip
Now you are connected to MongoDB. come out of it.
exit
Connect to the Postgres database and copy all the queries from the “init.sql” file.
psql 'postgres://<username>:<pwd>@<nodeip>:30003/authdb'
#username nasi
#pwd cnd2023
#nodeip node group ec2 public ip
Now it’s connected to psql
Now add the init.sql file
CREATE TABLE auth_user (
id integer GENERATED ALWAYS AS IDENTITY PRIMARY KEY,
email VARCHAR (255) NOT NULL,
password VARCHAR (255) NOT NULL
);
--Add Username and Password for Admin User
-- INSERT INTO auth_user (email, password) VALUES ('thomasfookins007helby@gmail.com', '123456');
INSERT INTO auth_user (email, password) VALUES ('<User your mail>', '123456');
Use your mail for values
Now provide \d to see data tables
Now provide the below command to see the authentication user
SELECT * from auth_user;
You will get your email and password.
Now provide an exit to come out of psql
exit
Now change the directory into RabbitMq to deploy
#if you are at Postgres directory use
cd ..
cd RabbitMQ
ls
helm install rabbit .
Now see the deployments and pods
kubectl get all
Now copy the public IP of the node group Ec2 instance
<Node-ec2-public-ip:30004>
You will get this page Just login
username is guest
password is guest
After login, you will see this page
Now click on Queues
Click on Add a new Queue
Type as classic
Name mp3 → Add queue.
Now click again Add a new queue for Video
Type as classic → Name as video → Add queue
You will see queues like this.
Now go back to Putty
Come out of helm charts
Microservices
cd ../..
#if you are at microservices-python-app
cd src
ls #these are the microservices
Now Go inside each microservice, and you will find a Dockerfile
you can create your docker images for each microservice and use it in the deployment file also.
First Go inside auth-service
cd auth-service
ls
cd manifest #directory
kubectl apply -f .
Now let’s see whether it created pods or not
kubectl get all
Now come back to another Microservice and do the same process
cd ../..
cd gateway-service
cd manifest
kubectl apply -f .
Check
kubectl get all
Now come back to another microservice and do the same process
cd ../..
cd converter-service
cd manifest
kubectl apply -f .
Check for deployments and service
kubectl get all
GMAIL PASSWORD
Now let’s create a Password for Gmail to get Notifications
Open your Gmail account in the browser and click on your profile top right.
Click on Manage your Google account
Now click on Security
Two-step verification should be enabled
If not, enable it
Now click on the search bar and search for the APP
Click on App passwords
It will ask for your Gmail password, provide and login
Now for the app name, you can use any name → create
You will get a Password, copy it and save it for later use.
One time watchable
Come back to Putty and update the secret.yaml file for notification service microservice
cd ../..
cd notification-service
cd manifest
sudo vi secret.yaml
#change your mail and password that Generated.
Now apply the manifest files
kubectl apply -f .
Check whether it created deployments or not.
kubectl get all
Now come to the assets directory
cd /home/ubuntu/microservice-python-app
cd assets
ls
curl -X POST http://nodeIP:30002/login -u <email>:<password>
Copy the token and paste it inside a base 64 decoder you will get this
change JWT Token and node ec2 IP.
curl -X POST -F 'file=@./video.mp4' -H 'Authorization: Bearer <JWT Token>' http://nodeIP:30002/upload
It will send an ID to the mail
Let’s check the mail
Copy that ID and paste it inside the below command with the JWT token and fid
curl --output video.mp3 -X GET -H 'Authorization: Bearer ' "http://nodeIP:30002/download?fid="
#change Bearer with JWT token
#nodeIp
#fid token at end
It will download an MP3 file
You can see it’s created mp3 file and you can play it.
aws s3 cp your-file s3://your-bucket/your-prefix/
You can copy it s3 bucket and download and you can listen to it.
Destroy
Now go inside Eks-terraform directory
To delete eks cluster
terraform destroy --auto-approve
It will take 10 minutes to delete the cluster
Once that is done
Remove your Ec2 instance and Iam role.