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Create a iam user with following policies\n\n    a. AmazonEC2ContainerRegistryFullAccess\n\n    b. AmazonEC2FullAccess\n\n2. Create a new keyvalue pair under security credentials and save the file\n\n3. Now create ECR repo and store the URL\n\n    306093656765.dkr.ecr.us-east-1.amazonaws.com/spaceship\n\n### Go to EC2\n- create keyvalue pair if u want to access through putty.\nAllow HTTP and HTTPs traffic\n\n### Install docker\n\n    sudo apt-get update -y\n\n    sudo apt-get upgrade\n\n    curl -fsSL https://get.docker.com -o get-docker.sh\n\n    sudo sh get-docker.sh\n\n    sudo usermod -aG docker ubuntu\n\n    newgrp docker\n\n## Now Goto Github\n- Go to Actions -\u003e Runners -\u003e new self hosted runner\n- Execute all commands for linux machine as we selected it\n\n- While entering name of runner give \"self-hosted\" runner\n\n## Github secrets\n\nAWS_ACCESS_KEY_ID=\n\nAWS_SECRET_ACCESS_KEY=\n\nAWS_REGION = us-east-1\n\nAWS_ECR_LOGIN_URI = only till .com\n\nECR_REPOSITORY_NAME = nameofrepo\n\n\n## Values Added in this repo\n1. I used different type of dataset, neural network framework used by Krish Naik \n2. I have introduced a db connection in pipeline which is cassandra db\n3. I have used torchserve to deploy with onnx\n4. I tried using docker-compose and communicating with docker containers for serving api and running flask separately but\nthere was dependency on transfering onnx model from training part to torch serve container so i was not able to deploy two separate services. \n\nReferences:\n- Krish Naik Videos\n- https://github.com/dimitreOliveira/torchserve_od_example/tree/main\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fajithvcoder%2Fspaceship_titanic_mlops_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fajithvcoder%2Fspaceship_titanic_mlops_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fajithvcoder%2Fspaceship_titanic_mlops_project/lists"}