diff --git a/DevOps/AWS/Developing_AWS_projects_locally.md b/DevOps/AWS/Developing_AWS_projects_locally.md
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----
-categories:
-  - DevOps
-tags: [AWS]
----
-
-# Developing AWS projects locally
-
-To develop AWS projects locally the following core tools can be used to set up a local development environment that simulates AWS services:
-
-- AWS CLI
-  - Interact with AWS services from your local machine
-- AWS SDK
-  - Integrate AWS services into your given programming language and application code
-- [AWS SAM](/DevOps/AWS/AWS_SAM.md)
diff --git a/DevOps/AWS/AWS_SAM.md b/DevOps/AWS/SAM/AWS_SAM.md
similarity index 79%
rename from DevOps/AWS/AWS_SAM.md
rename to DevOps/AWS/SAM/AWS_SAM.md
index 9d091a9..3749405 100644
--- a/DevOps/AWS/AWS_SAM.md
+++ b/DevOps/AWS/SAM/AWS_SAM.md
@@ -191,6 +191,49 @@ The build directory is `.aws-sam/build/`. There will be a subdirectory for each
 
 As noted, CloudFront handles the deployment of the application. It can only receive one file as an input. The packaging process consists in creating that single file.
 
-The packaging proces will first archive all of the project artefacts into a zip file and then upload that to [S3](/DevOps/AWS/AWS_S3.md).
+The packaging proces will first archive all of the project artefacts into a zip file and then upload that to [S3](/DevOps/AWS/AWS_S3.md). A reference to this S3 entity is then provided to CloudFormation.
 
 ![](/_img/s3-package-again.svg)
+
+The command is as follows:
+
+```sh
+sam package
+  --template-file template.yaml
+  --output-template-file pkg.yml
+  --region eu-west-1
+```
+
+This will automatically create a hashed bucket name for you in S3 (I have tried to add my own naming but it doesn't comply.)
+
+### Local development with Docker
+
+In order to work with your application locally without actually sending requests to AWS and using credit, you can run a local instance.
+
+See [Local AWS Development with SAM](/DevOps/AWS/SAM/Local_AWS_development_with_SAM.md).
+
+### Deploy
+
+Once you have packaged the app you can deploy with `sam deploy --guided`. This will talk you through the defaults and will deploy the package to CloudFormation. In CloudFormation each individual project is called a **stack**.
+
+If we then go to Cloud Formation we will see the deployed application.
+
+![](/_img/cloud-formation-stack.png)
+
+## Call the endpoint
+
+If we now go to the Lambda console, we will see our function listed, and the API Gateway endpoint under `triggers`:
+
+![](/_img/gateway-trigger.png)
+
+We can then call this from Postman to check everything is working as it should:
+
+![](/_img/postman-aws-output.png)
+
+## Clean up and erase the stack
+
+We can delete the stack and remove all the resources we have created with a single CLI method:
+
+```sh
+aws cloudformation delete-stack --stack-name <name> --region <region>
+```
diff --git a/DevOps/AWS/SAM/Local_AWS_development_with_SAM.md b/DevOps/AWS/SAM/Local_AWS_development_with_SAM.md
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@@ -0,0 +1,32 @@
+---
+categories:
+  - DevOps
+  - Backend
+tags: [AWS, docker]
+---
+
+# Local AWS development with SAM
+
+We can run a local instance of our SAM stack for a given application without sending requests to the cloud. This is implemented through Docker.
+
+The SAM CLI handles all the Docker-related tasks, such as pulling the required Lambda runtime images, creating containers, mounting your code and dependencies, and running your Lambda functions inside those containers.
+
+## Basic set up
+
+Enter your project directory.
+
+First build your SAM application:
+
+```sh
+sam build
+```
+
+We then run:
+
+```sh
+sam local start-api
+```
+
+You should see the following:
+
+![](/_img/local-sam-docker.png)
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