Abhinav issue#29

issue_29/README.md

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+# Containerizing Lambda Function
+## This Doc provides a step by step process that can be followed to containerize the Lambda Functions
+
+---
+
+## 🚀 Why Containerize AWS Lambda?
+
+### 🔧 Traditional Method (Zip-based)
+- Limited to 250 MB unzipped package size (including dependencies)
+- Can't install OS-level packages easily
+- Not ideal for ML models with large libraries and complex dependencies such as PyTorch and TensorFlow
+### 🐳 Containerized Lambda (Docker-based)
+- Package size up to **10 GB**
+- Full control and transparency over the **runtime and OS level libraries**
+- Use/Define any dependencies not supported by AWS Lambda runtime
+- Easier **local testing and reproducibility**
+
+---
+
+## High level Steps
+- Create the logic code that contains the handler class for lambda function
+- Define dependencies in the requirements.txt
+- Create the Docker file, inside docker file make sure to define
+  - Commands to install dependencies
+  - Add the function code
+  - set the handler function
+  - any other required dependency jars/libraries installation
+- Create an amazon ECR registry repo
+  - To deploy a containerized Lambda, you must upload the image to Amazon ECR (Elastic Container Registry) first. That’s the only way AWS Lambda can pull your container image.
+- Authenticate Docker ot ECR, tag the Docker image to ECR and push the image to ECR
+
+## Once the lambda is containerized and pushed to ECR, it can be deployed from the ECR image.
+```bash
+Sample Code
+
+aws lambda create-function \
+    --function-name provide_func_name \
+    --package-type Image \
+    --code ImageUri=<ecr_image_uri> \
+    --role give_the_required_iam_role
+
+```
+## References
+- [Deploy Lambda functions with container images](https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/deploy-lambda-functions-with-container-images.html)
+- [Deploy Python Lambda functions with container images](https://docs.aws.amazon.com/lambda/latest/dg/python-image.html)
+
+