Merge AWS Lambda installation documentation into official docs

aws/lambda/README.md

@@ -1,48 +0,0 @@
-Dockerized AWS Lambda Function with Python and IfcOpenShell
-===========================================================
-
-This guide provides a Dockerfile and sample code to help you run an AWS Lambda function written in Python and utilizing IfcOpenShell library. 
-
-Prerequisites
--------------
-
-Make sure you have Docker installed on your machine. You can download Docker from the official website: [Docker Instalation](https://docs.docker.com/engine/install/)
-
-Getting Started
----------------
-
-1. **Clone this repository to your local machine:**
-
-2. **Customize the Lambda function code:**
-   
-   - Replace the sample Lambda function code in the `example_handler` directory with your own code.
-   - Update the import path in the Dockerfile's `CMD` instruction to match your Lambda function's handler function.
-
-3. **Install the required Python packages:**
-   - Edit the `requirements.txt` file and add any additional dependencies required by your Lambda function.
-
-4. **Build the Docker image:**
-
-   ```shell
-   $ docker build -t lambda-ifcopenshell .
-   ```
-
-5. **Run the Docker container:**
-
-    ```shell
-   $ docker run lambda-ifcopenshell
-    ```
-6. **Test lambda locally**
-    
-    Follow the steps in this [guide](https://docs.aws.amazon.com/lambda/latest/dg/images-test.html)
-
-
-7. **Deploy to lambda**
- 
-    This is beyond the scope of this example. Please refer to AWS documentation. Some tools that could be useful are - AWS CloudFormaton, AWS CDK, pulumi or terraform
-
-
----------
-> Note: This is a superficial guide, in order to make this work for your usecase you will need a good understanding of other AWS services like SQS, S3, API Gateway etc.
-
-For more information on building lambda containers refer to this [guide](https://docs.aws.amazon.com/lambda/latest/dg/images-create.html).