I am very new to AWS's codebuild, pipelien and SAM. I know that I can set up codebuild to bring in two git repositories similar to this example. I was wondering if there is a way that I can update a SAM project's Codepipeline to use a secondary git source?
Related
I am using codepipeline as CI/CD pipeline by using CDK.
I'd like to make the pipeline update by itself so I tried to create one stage in the pipeline to update the pipeline itself by running cdk deploy command.
In order to make the self update work, I need to specify a parameter selfMutation in codepipeline construct: https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.pipelines.CodePipeline.html#selfmutation
but this property only exists in cdk v2 not v1 ( I am using cdk 1.84.0 ). What is the equivalent property in v1?
The CDK pipelines package also exists in v1.
CDK Pipelines are different from aws-codepipeline.Pipeline. It's build on top of it and allows you to deploy CDK apps with CodePipeline.
More information about CDK pipelines and what they are: https://aws.amazon.com/blogs/developer/cdk-pipelines-continuous-delivery-for-aws-cdk-applications/
Documentation for CDK pipelines in CDKv1: https://docs.aws.amazon.com/cdk/api/v1/docs/pipelines-readme.html
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/
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.
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.
I'm a kind of lost in the documentation.
I want to push Python code to a repo and use CodePipeline to deploy Lambdas.
I have CodeCommit repo, CodePipeline - so far this works and I can create/update CF stack to create supplementary resources.
I know AWS SAM can be used to deploy the functions using CF tpl, but how can I connect SAM with CodePipeline/CodeDeploy? The code should be taken from a 'source' pipeline action then deployed as lambda function.
If SAM isn't the best automated solution here then what should I use instead? Pipeline is the key requirement so we don't have to run something like aws cf update-stack manually, just push the code.
CodePipeline doesn't support deploying Lambda through CodeDeploy, so the approach is to use a CodeBuild Build action to generate an change set from the SAM template and feed it into a CloudFormation Deploy action. You can find a detailed instruction in the following doc.
https://docs.aws.amazon.com/lambda/latest/dg/build-pipeline.html
If you use SAM to deploy Lambdas, CodeDeploy is automatically used. For reference:
Gradual Code Deployment
Safe Lambda deployments