deployment-steps.txt

1. Login to AWS console.

2. Create IAM user for deployment

	with specific access
	1. EC2 access : It is virtual machine

	2. S3 bucket: To store artifact and model in s3 bucket

	3. ECR: Elastic Container registry
	To save your docker image in aws

	Description: About the deployment

	1. Build docker image of the source code
	2. Push your docker image to ECR
	3. Launch Your EC2 
	4. Pull Your image from ECR in EC2
	5. Lauch your docker image in EC2



	Policy:
	1. AmazonEC2ContainerRegistryFullAccess
	2. AmazonEC2FullAccess
	3. AmazonS3FullAccess

3.Create a s3 bukcet in ap-south-1
	bucket name: scania-sensor-pipeline
	
4. ECR repo to store/save docker image
	566373416292.dkr.ecr.ap-south-1.amazonaws.com/sensor-fault
	
5. EC2 machine  Ubuntu  Created

6. Open EC2 and Install docker in EC2 Machine 
	
	
	#optinal
	sudo apt-get update -y
	sudo apt-get upgrade
	
	#required
	curl -fsSL https://get.docker.com -o get-docker.sh
	sudo sh get-docker.sh
	sudo usermod -aG docker ubuntu
	newgrp docker
	
7. Configure EC2 as self-hosted runner

setting>actions>runner>new self hosted runner> choose os> 
then run command one by one

8. Setup github secrets

AWS_ACCESS_KEY_ID=

AWS_SECRET_ACCESS_KEY=

AWS_REGION=ap-south-1

AWS_ECR_LOGIN_URI=566373416292.dkr.ecr.ap-south-1.amazonaws.com

ECR_REPOSITORY_NAME=sensor-fault

MONGO_DB_URL=mongodb+srv://avnish:Aa327030@cluster0.or68e.mongodb.net/admin?authSource=admin&replicaSet=atlas-desfdx-shard-0&w=majority&readPreference=primary&appname=MongoDB%20Compass&retryWrites=true&ssl=true