Can we plan serverless aws instead of deploying? - amazon-web-services

We can plan terraform before applying the deployment, similarly do we have something in serverless?

You can run serverless package to create the CloudFormation json files.
The files will be created under the .serverless directory.

Related

How to create cloudformation template from SAm project?

I am trying to convert a SAM project to a cloudformation template in order to call
cloudformation.createStack()
to create multiple stacks when a lambda is invoked. So far I can upload the SAM project with
sam build
sam package
But the size of the S3 is to big and I am getting errors. What are the steps to correctly upload the cloudformation template?
These pre-reqs need to be met before continuing:
Install the SAM CLI.
Create an Amazon S3 bucket to store the serverless code artifacts that the SAM template generates. At a minimum, you will need permission to put objects into the bucket.
The permissions applied to your IAM identity must include iam:ListPolicies.
4.You must have AWS credentials configured either via the AWS CLI or in your shell's environment via the AWS_* environment variables.
5.Git installed.
6.Python 3.x installed.
(Optional) Install Python's virtualenvwrapper.
Source Link:- https://www.packetmischief.ca/2020/12/30/converting-from-aws-sam-to-cloudformation/

How to transform a Serverless framework yaml to template of Cloudformation?

is there a way to get the transformed Cloudformation template from a serverless framework yaml via the console, CLI, or another way?
When you use serverless framework cli to build your stack a new folder get created (.serverless) with generated Cloudformation tamplates, try to run this CLI command:
sls package
or
serverless package
both works.
The Cloudformation templates will be in JSON.

SAM/Serverless/CodeBuild clarification

I am hoping for some clarification around some terms I have been seeing on the web as it pertains to AWS and specifically lambdas. For starters, I would like the know how the commands sam build/deploy work versus setting up a CodeBuild job. Do I need a CodeBuild job to run those commands? What files specifically does the sam deploy command look for? Does it look for serverless.yml or template.yml or both? What is a sam.yml file or are they antiquated?
I have an app with a CodeBuild pipeline for a lambda, but I am expanding my repo to contain multiple lambdas and thinking about putting a serverless.yml file in each lambda directory, but I don't want to create a CodeBuild job and buildspec for each one. I assume sam deploy searches for all template.yml and serverless.yml files and constructs your stack as a whole (and updates only what needs to be updated?)
App is in Node if curious using API Gateway. Any insight would be appreciated.
I will try to give brief answers:
What does sam deploy do: It will zip the code and create cloudformation yaml file into .aws-sam folder and run cloudformation deploy.
Do we need CodeBuild to run same deploy: We still need some server to run sam deploy or build with node installed, which could be a local machine or remote server or a CodeBuild environment.
Do we need multiple templates? All Lambdas can be created in single template. But there is limit of 150 resources in cloudformation. if we have too many functions and APIs in single template, we will easily hit that limit. Each api might get converted into multiple cloud-formation resources. ex: 1 lambda function can be iam roles, cloudwatch logs, api routes, methods, integration, event source, etc.
Does sam deploy always looks for template.yaml By default yes, but can be easily overridden by passing --template-file sam deploy --template-file template-x.yml
Only changed resources are updated? Cloudformation update-stack updates only the resources that are changed.

How to use TerraForm to create pipeline that deploys lambda function

I am trying to create a pipeline using terraform to create a codepipeline in aws to automatically deploy a lambda function.
i have already created 2 stages to get the code from github and build the artifact using codebuild and store the artifact to S3.
But i can't seem to find a terraform configuration for the codedeploy to deploy the artifact from s3 to lambda. I do see there is deployment setting from the console where i can specify the detail of the deployment.

"BundleType must be either YAML or Json" Error using Jenkins and AWS CodeDeploy

I am trying to deploy revisions to my AWS lambda functions using Jenkins and the AWS CodeDeploy add-on. I am able to build the project successfully and upload a zip of the project to an S3 bucket. At this point I receive the error:
BundleType must be either YAML or JSON
I have an appspec.yml file in my code directory. I am unsure if I need to instruct Jenkins to do something different, or if I need to instruct AWS to unzip the file and use it.
Today CodeDeploy lambda deployment only take in a YAML or JSON file as deployment revision input (which is just your AppSpec file). Today CodeDeploy Jenkins plugin needs to be updated to support uploading YAML or JSON file without zipping it: https://github.com/jenkinsci/aws-codedeploy-plugin/blob/master/src/main/java/com/amazonaws/codedeploy/AWSCodeDeployPublisher.java#L230