Harnessing the Power of AWS ECR: Unlocking Container Image Management with Python

In the world of containerization, effective management of container images is vital for streamlined deployment and collaboration. Amazon Elastic Container Registry (ECR) provides a robust and scalable solution for storing, managing, and deploying Docker container images on AWS. In this thought-provoking blog post, we will delve into the steps involved in using ECR, starting from creating an ECR repository to pushing container images using the AWS Management Console and AWS CLI. Throughout the process, we will emphasize the significance of tagging and versioning container images for enhanced management. We will also leverage Python-based code examples to demonstrate the power and simplicity of working with ECR.

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Read contents of S3 bucket using AWS lambda

Here is an example AWS Lambda function written in Python that reads a file from an S3 bucket. In this example, the lambda_handler function is the entry point for the Lambda function. It takes two parameters, event and context.

The event parameter contains information about the S3 bucket and object that triggered the Lambda function, and the context parameter contains information about the runtime environment of the function. 

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