Metadata-Version: 2.1
Name: slsmanager
Version: 0.1.4
Summary: A basic tool that simplifies the deployment of AWS lambda functions
Home-page: https://github.com/AineshSootha/serverlessManager
Author: Ainesh Sootha
Author-email: aineshsootha@gmail.com
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/AineshSootha/serverlessManager/issues
Description: # Serverless Manager
        
        A basic Python Tool that simplifies the deployment of multiple AWS Lambda functions directly from an AWS CodeCommit Repository.
        
        ## Set Up
        
         - Set up an IAM user on your AWS console 
        	 - You require the following permissions:
        	  ![Permissions for IAM user](/assets/permissions.png)
        	 - Store the Access Key ID and the Secret Access Key
        	 - Generate the git credentials for the user. (Security Credentials -> HTTPS Git Credentials)
         
         - Create a CodeCommit Repository and clone it to your directory using the Git Credentials.
        
         - Create a CodeBuild Project
        	- Set the source provider to **CodeCommit** and the repository to the newly created CodeCommit repository
        	- Pick the branch you will be pushing to.
        	- In buildspec, choose **“Use a buildspec file”** and leave the filename empty (Since the default is  **_buildspec.yml_**
        	- Create the project
        	- Edit the environment variables and add the following variables:
        	 ![Environment Variables](/assets/envVariables.png)
        	- The ENV_NAME_ variables refer to the different environments you would be deploying. For instance, I have 3 environments: dev, prod and uat. This allows us to deploy the lambda function at different stages (Creating a different function for each stage)
        
        - Create a CodePipeline
        	- Source provider:  **_AWS CodeCommit_**
        	- Repo Name:  **_Source repo_**
        	- Build Provider:  **_AWS_**  **_CodeBuild_**
        	- Project Name:  **_Name of Codebuild Project_**
        	- Skip deploy stage since we are using the [Serverless Framework](https://www.serverless.com/framework/docs/providers/aws/) to deploy our functions
        	- Create the Pipeline
         
        - Install serverless-manager and place it in the directory with your handlers
        
        ## Using the tool
        
         - I have a file called handlerFun1.js. It contains the function firstFun() which I would like to deploy.
         - Run serverless manager on your terminal and follow the instructions:
          ![First Steps](/assets/firstSteps.png)
        	 - Here, I created a service called "CodeCommitTest" 
        	 - I set the AWS-region to us-east-2 (which is what my AWS console is set to). 
        	 - The stage sets the serverless *stage* property.
        	 - The ENV_NAME is the last part of the ENV_NAME_ environment variables (which we set earlier). This will be reflected in the final name of your function on your console.
        	 - Module name follows the convention **dir/filename.function**
        	 - The **function name** is the name of the final lambda function (and is set in ***serverless.yml***)
        	 - By default, the only file added to the current lambda function is the handler file provided in the module name. If you would like to include other files in the final lambda function that is deployed, you may edit the newly generated ***serverless.yml*** and add the required files to the **functions/*your_function*/package/patterns**
        	 - You may also edit/add any other properties in ***serverless.yml***
        	 - Finally, the tool generates a buildspec.yml file for your function.
        		 - If you want to deploy all lambda functions present in ***serverless.yml*** you can press **'a'** in the final step. Otherwise, press **'n'**.
        	 - Once you have completed all your steps, you will see 2 new files ***serverless.yml*** (Which lists all the properties required to deploy using the Serverless Framework and ***buildspec.yml*** (Which instructs CodeBuild to deploy the function(s) using the given files and properties.
        
        
         
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
