<p>This post is a follow-up to my <a href="/aws-api-gateway-iam.html">authenticated API Gateway post</a>.</p>
<p>I've written a Lambda function and presented it using API Gateway. The API
uses Amazon's AIM keys for authentication. The next step is to write the code
to source control (AWS CodeBuild Git) and have it automatically deploy.</p>
<p><strong>Note</strong>: <a href="https://docs.aws.amazon.com/lambda/latest/dg/build-pipeline.html">This official guide on AWS</a>
is really good, and I copied big parts it. I use Python instead of
JavaScript in this post, and include my own experience while following the
guide.</p>
<hr>
<h3 id="table-of-contents">Table of Contents</h3>
<ul>
<li><a href="#create-an-s3-bucket">Create an S3 Bucket</a></li>
<li><a href="#commit-your-function-to-source-control">Commit your function to source control</a></li>
<li><a href="#define-an-aws-sam-template">Define an AWS SAM template</a>
<ul>
<li><a href="#write-the-template-file">Write the template file</a></li>
<li><a href="#test-the-template">Test the template</a></li>
</ul>
</li>
<li><a href="#create-a-codebuild-project">Create a CodeBuild Project</a>
<ul>
<li><a href="#write-the-buildspecyml">Write the buildspec.yml</a></li>
<li><a href="#create-a-role-for-codebuild">Create a role for CodeBuild</a></li>
<li><a href="#define-the-build-project">Define the build project</a></li>
</ul>
</li>
<li><a href="#create-a-pipeline">Create a Pipeline</a>
<ul>
<li><a href="#create-iam-policy-for-codedeploy">Create IAM Policy for CodeDeploy</a></li>
<li><a href="#create-iam-role-for-codedeploy">Create IAM Role for CodeDeploy</a></li>
<li><a href="#create-the-pipeline">Create the Pipeline</a></li>
</ul>
</li>
</ul>
<h1 id="create-an-s3-bucket">Create an S3 Bucket</h1>
<p>Open the <a href="https://s3.console.aws.amazon.com/s3/">S3 Console</a> and create a
bucket to store your build artifacts.</p>
<hr>
<hr>
<h1 id="commit-your-function-to-source-control">Commit your function to source control</h1>
<p>I'm using a dedicated repository on AWS CodeCommit to store the code, and
Python3 for the language. Here's a very simple Lambda function I use for
testing:</p>
<pre><code class="language-python">def lambda_handler(event, context):
    """ run a hello function """
    body = 'NO HTTP METHOD'
    if 'httpMethod' in event and event['httpMethod'] == 'POST':
        request_body = event['body']
        request_user = event['requestContext']['identity']['userArn']
        body = f'{request_user} sent a POST with body: {request_body}'
    elif 'httpMethod' in event and event['httpMethod'] == 'GET':
        request_user = event['requestContext']['identity']['userArn']
        body = f'{request_user} sent a GET'
    return {
        'statusCode': 200,
        'body': json.dumps(body)
    }
</code></pre>
<hr>
<h1 id="define-an-aws-sam-template">Define an AWS SAM template</h1>
<h2 id="write-the-template-file">Write the template file</h2>
<p>This was my first time using AWS SAM, so consider these my observations and not
necessarily fact.</p>
<p>SAM stands for Serverless Application Model.</p>
<ul>
<li><a href="https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/sam-resource-function.html">SAM Reference Page</a></li>
<li><a href="https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/sam-property-function-api.html">API Event type</a></li>
<li><a href="https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/what-is-sam.html">What is SAM</a></li>
<li><a href="https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/sam-specification.html">SAM Specification</a></li>
</ul>
<p>The fields I've changed from Amazon's example for this post:</p>
<ul>
<li><strong>Description</strong> - string describing the serverless application. This
description will be attached to the CloudFormation stack.</li>
<li><strong>Resources.[resourceName]</strong> - self-defined resource, my function.
The resource is a Lambda function because it's type is
<code>AWS::Serverless::Function</code></li>
<li><strong>Handler</strong> - Which method will run in the function</li>
<li><strong>Runtime</strong> - The language to be used</li>
<li><strong>CodeUri</strong> - Path to my file defining the function</li>
<li><strong>Resource.[resourceName].Events[eventName]</strong> - Name of the event which
triggers the function.</li>
<li><strong>Resource.[resourceName].Events[eventName].path</strong> - path for the URL</li>
</ul>
<pre><code class="language-yaml"># template.yaml
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: Sample Continuously deploy function
Resources:
  TestCicdFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: cicd-test.lambda_handler
      Runtime: python3.8
      CodeUri: ./cicd-test.py
      Events:
        TestCicdAPI:
          Type: Api
          Properties:
            Path: /Test
            Method: GET
</code></pre>
<h2 id="test-the-template">Test the template</h2>
<p>Install the AWS SAM CLI application.</p>
<pre><code class="language-bash">pip install --user aws-sam-cli
</code></pre>
<p>Build the package and upload it to your S3 bucket. From your project
root, set your bucket name then run the following.</p>
<pre><code class="language-bash"># Set the bucket name first
BUCKET=''

aws cloudformation package \
  --template-file template.yml \
  --s3-bucket $BUCKET \
  --output-template-file outputtemplate.yml
</code></pre>
<p>The package command will upload your python file to S3 and output a new
template file with the S3 path replacing the <code>CodeUri</code>.</p>
<pre><code class="language-text">Uploading to &#x3C;ID>  381 / 381.0  (100.00%)
Successfully packaged artifacts and wrote output template to file outputtemplate.yml.
Execute the following command to deploy the packaged template
aws cloudformation deploy --template-file /home/vagrant/arcus-lambda/outputtemplate.yml --stack-name &#x3C;YOUR STACK NAME>
</code></pre>
<p>Now deploy it. Since there's no CloudFormation stack created yet, I make a new
one named <code>test-cicd-lambda</code>. Note that in the above command output, the
example they give for deploy is wrong. You need to include the
<code>--capabilities CAPABILITY_IAM</code> argument for this template too.</p>
<pre><code class="language-bash">aws cloudformation deploy \
  --capabilities CAPABILITY_IAM \
  --template-file /home/vagrant/arcus-lambda/outputtemplate.yml \
  --stack-name test-cicd-lambda
</code></pre>
<p>The application is now deployed.</p>
<ul>
<li>Stack is visible in the  <a href="https://ca-central-1.console.aws.amazon.com/cloudformation">CloudFormation console</a></li>
<li>API is created in the <a href="https://ca-central-1.console.aws.amazon.com/apigateway/">API Gateway console</a></li>
<li>Function is created in the <a href="https://ca-central-1.console.aws.amazon.com/lambda/">Lambda console</a>.
The function also has an Application page in the web console now.</li>
</ul>
<hr>
<h1 id="create-a-codebuild-project">Create a CodeBuild Project</h1>
<p>I recently did a whole post on this <a href="/aws-codepipeline-ecr.html">here</a>, so I'm
going to be light on the details. Head over to that post to fill in any blanks.
In that post I was building Docker images and pushing them to ECR. This is
similar, except we push python files to Lambda instead.</p>
<h2 id="write-the-buildspecyml">Write the buildspec.yml</h2>
<p>Put this in the project root, it defines what CodeBuild will do. We'll use an
environment variable for the <code>BUCKET</code> definition.</p>
<p>If you're not sure what to pick for a runtime, check <a href="https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-available.html">this list</a>.</p>
<pre><code class="language-yaml"># buildspec.yml
version: 0.2
phases:
  install:
    runtime-versions:
        python: 3.8
  build:
    commands:
      - aws cloudformation package --template-file template.yml --s3-bucket $BUCKET --output-template-file outputtemplate.yml
artifacts:
  type: zip
  files:
    - template.yml
    - outputtemplate.yml
</code></pre>
<p>Commit the file to source control.</p>
<h2 id="create-a-role-for-codebuild">Create a role for CodeBuild</h2>
<p>I use the role I defined for CodeBuild in my previous post. It's a bit overly
permissive but it works. Other than the policies which get created
automatically, mine has these:</p>
<ul>
<li><code>AWSCodeCommitFullAccess</code></li>
<li><code>AmazonEC2ContainerRegistryFullAccess</code></li>
<li><code>AmazonS3FullAccess</code></li>
<li><code>CloudWatchLogsFullAccess</code></li>
<li><code>AWSCodeBuildAdminAccess</code></li>
</ul>
<h2 id="define-the-build-project">Define the build project</h2>
<ol>
<li>Open the <a href="https://ca-central-1.console.aws.amazon.com/codesuite/codebuild/">CodeBuild console</a></li>
<li>Create build project</li>
<li>Name the build and give it a description</li>
<li>Source: Add your repository</li>
<li>Environment
<ol>
<li>Managed Image</li>
<li>Operating system: Ubuntu</li>
<li>Runtimes: Standard</li>
<li>Image: the newest one</li>
<li>Environment type: Linux</li>
<li>Privileged: False
<ol>
<li>Service Role: Existing role - choose the one you made above</li>
</ol>
</li>
<li>Additional Configuration - environment variables
<ul>
<li>name: BUCKET</li>
<li>value: Your bucket name</li>
</ul>
</li>
</ol>
</li>
<li>Buildspec: use buildspec file</li>
<li>Artifacts: no artifacts</li>
<li>Logs: set a group name for CloudWatch</li>
<li>Create build project</li>
</ol>
<p>Test the build before moving on and make sure it works.</p>
<hr>
<h1 id="create-a-pipeline">Create a Pipeline</h1>
<h2 id="create-iam-policy-for-codedeploy">Create IAM Policy for CodeDeploy</h2>
<p>Open the IAM console and create a new policy.
Define the policy using the following JSON.
These wildcards will cover everything you need, though it might be a bit
permissive.</p>
<pre><code class="language-json">{
    "Statement": [
        {
            "Action": [
                "apigateway:*",
                "codedeploy:*",
                "lambda:*",
                "cloudformation:CreateChangeSet",
                "iam:GetRole",
                "iam:CreateRole",
                "iam:DeleteRole",
                "iam:PutRolePolicy",
                "iam:AttachRolePolicy",
                "iam:DeleteRolePolicy",
                "iam:DetachRolePolicy",
                "iam:PassRole",
                "s3:GetObject",
                "s3:GetObjectVersion",
                "s3:GetBucketVersioning"
            ],
            "Resource": "*",
            "Effect": "Allow"
        }
    ],
    "Version": "2012-10-17"
}
</code></pre>
<h2 id="create-iam-role-for-codedeploy">Create IAM Role for CodeDeploy</h2>
<p>In the role wizard of the IAM page:</p>
<ol>
<li>Create role</li>
<li>Trusted Entity: <code>CloudFormation</code></li>
<li>Permissions:
<ol>
<li><code>AWSLambdaExecute</code></li>
<li>Your new policy created above</li>
</ol>
</li>
<li>Role Name: assign a name</li>
</ol>
<h2 id="create-the-pipeline">Create the Pipeline</h2>
<p>When code is committed, you want CodeBuild to run and re-deploy your serverless
application.</p>
<ol>
<li>Open the <a href="https://ca-central-1.console.aws.amazon.com/codesuite/codepipeline/pipelines">CodePipeline console</a></li>
<li>Click Create Pipeline</li>
<li>Name the pipeline</li>
<li>Service Role: Create a new service role for the pipeline. AWS will set sane
permissions for it, no special role is needed. I like to have a consistent
naming convention as you end up with a ton of IAM entities after a while.</li>
<li>Role Name: Pick a name</li>
<li>Allow AWS CodePipeline to create a role</li>
<li>Next</li>
<li>Source Provider: AWS CodeCommit</li>
<li>Repository Name: Select the repository name</li>
<li>Branch name: master</li>
<li>Change detection: Amazon CloudWatch Events</li>
<li>Next</li>
<li>Build Provider: AWS CodeBuild</li>
<li>Project Name: Choose the project you just made</li>
<li>Next</li>
<li>Deploy Provider: AWS CloudFormation</li>
<li>Action Mode: Create or replace a change set</li>
<li>Stack Name: choose a name. I used the one from the test above.</li>
<li>Change Set Name: choose a name</li>
<li>Template:
<ul>
<li>Artifact name: <code>BuildArtifact</code></li>
<li>File name: <code>outputtemplate.yml</code></li>
</ul>
</li>
<li>Capabilities: <code>CAPABILITY_IAM</code></li>
<li>Role Name: The role you defined for CodeDeploy above</li>
<li>Next</li>
<li>Create Pipeline</li>
</ol>
<p>That should do it. Now whenever you push code to your master branch, the
serverless application will re-deploy.</p>


<h3 id="table-of-contents">Table of Contents</h3>
<ul>
<li><a href="#build-an-api-gateway-resource">Build an API Gateway resource</a>
<ul>
<li><a href="#build-a-lambda-function-for-it-to-run">Build a Lambda function for it to run</a></li>
<li><a href="#define-the-api">Define the API</a></li>
</ul>
</li>
<li><a href="#iam-setup">IAM Setup</a>
<ul>
<li><a href="#create-policy">Create Policy</a></li>
<li><a href="#bind-policy-to-a-user">Bind policy to a user</a></li>
</ul>
</li>
<li><a href="#test-the-api-in-postman">Test the API in Postman</a></li>
<li><a href="#execute-the-api-from-python">Execute the API from Python</a></li>
</ul>
<h1 id="build-an-api-gateway-resource">Build an API Gateway resource</h1>
<h2 id="build-a-lambda-function-for-it-to-run">Build a Lambda function for it to run</h2>
<p>Open the lambda console and create a function. Here's an example python
function that says hello to whoever sent the authenticated request.</p>
<pre><code class="language-python">def lambda_handler(event, context):
    """ run a hello function """
    body = 'NO HTTP METHOD'
    if 'httpMethod' in event and event['httpMethod'] == 'POST':
        request_body = event['body']
        request_user = event['requestContext']['identity']['userArn']
        body = f'{request_user} sent a POST with body: {request_body}'
    elif 'httpMethod' in event and event['httpMethod'] == 'GET':
        request_user = event['requestContext']['identity']['userArn']
        body = f'{request_user} sent a GET'
    return {
        'statusCode': 200,
        'body': json.dumps(body)
    }
</code></pre>
<h2 id="define-the-api">Define the API</h2>
<ol>
<li>Go to the <a href="https://ca-central-1.console.aws.amazon.com/apigateway/">API Gateway Console</a></li>
<li>Create</li>
<li>Protocol: REST</li>
<li>New API</li>
<li>API Name: <code>&#x3C;name></code></li>
<li>Endpoint type: Regional</li>
<li>Create API</li>
</ol>
<p>Create a method:</p>
<ol>
<li>Actions</li>
<li>Create Method</li>
<li>POST</li>
<li>Check mark</li>
<li>Integration Type: Lambda Function</li>
<li>Use Lambda Proxy Integration: Checked</li>
<li>Lambda Region: ca-central-1</li>
<li>Lambda Function: HelloWorld</li>
</ol>
<p>Enable IAM Authorization</p>
<ol>
<li>Click Method Request</li>
<li>Set authorization to <code>AWS_IAM</code></li>
</ol>
<h1 id="iam-setup">IAM Setup</h1>
<h2 id="create-policy">Create Policy</h2>
<p>Collect the ARN of the API Gateway. Click your endpoint, then the method.
The ARN will display under Method Request in the Method Execution diagram.</p>
<p>Navigate to the IAM console and create a new policy.</p>
<pre><code class="language-json">{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "execute-api:Invoke"
            ],
            "Resource": [
								"arn:aws:execute-api:ca-central-1:850047500507:42mydti3lg/*/POST/*"
            ]
        }
    ]
}
</code></pre>
<h2 id="bind-policy-to-a-user">Bind policy to a user</h2>
<p>Here's how I do it:</p>
<ol>
<li>Open the IAM console</li>
<li>If you don't have a group yet, make one</li>
<li>Attach the policy to the group</li>
<li>Attach the group to a user</li>
</ol>
<p>Collect the key and key ID of that user.</p>
<h1 id="test-the-api-in-postman">Test the API in Postman</h1>
<p>Postman is nice since you know it works, and it natively handles building the
AWS request headers. It's the easiest way I know to run a one-off test of your
API.</p>
<p>Install <a href="https://www.getpostman.com/">Postman</a>.</p>
<ol>
<li>New > Request - fill in some names.</li>
<li>Set the request type to POST</li>
<li>Enter the URL</li>
<li>Enter any request data</li>
<li>Go to the Authorization tab and choose AWS signature</li>
<li>Enter the key and key ID from your IAM user</li>
<li>Set the region, in my case ca-central-1</li>
<li>Send</li>
</ol>
<p>You should get a valid response from your API. If you skip any of the
authorization steps you'll get an error instead.</p>
<h1 id="execute-the-api-from-python">Execute the API from Python</h1>
<p>End users don't use postman. Usually they'd be using JavaScript, and in my case
they use Python to access my API. This was <strong>really complicated</strong>.</p>
<p><a href="https://github.com/DavidMuller/aws-requests-auth">Here's an open source library that can do it</a>.</p>
<p>I've written my own version of this for the Breqwatr deployment tool. I didn't
want to depend on the above link. Also I tried to rewrite the client as
functions with the hope of making it easier to read.</p>
<p>You can find it in <a href="https://github.com/breqwatr/breqwatr-deployment-tool">Breqwatr's GitHub</a>
under <code>lib/aws</code>.</p>
<p>Here's the high level flow of how it gets the auth header:</p>
<pre><code class="language-python">def get_authorization_header(time, key_id, secret_key, region, method, host,
                             body, uri, query):
    """ Return an aws authorization header """
    # canonical request is a multi-line string with a particular format
    canonical_headers = get_canonical_headers(host, time)
    payload_hash = get_payload_hash(body)
    canonical_request = get_canonical_request(
         method=method,
         uri=uri,
         query=query,
         canonical_headers=canonical_headers,
         payload_hash=payload_hash)
    # create a string-to-sign from the canonical requests' digest
    cr_digest = hashlib.sha256(canonical_request.encode('utf-8')).hexdigest()
    credential_scope = get_credential_scope(time, region)
    string_to_sign = get_string_to_sign(time, credential_scope, cr_digest)
    # sign the String-To-Sign with a signing key derived from secret iam key
    signing_key = get_signing_key(secret_key, time, region)
    signature = get_signature(signing_key, string_to_sign)
    # return the headers all in one string
    return (
        f'AWS4-HMAC-SHA256 Credential={key_id}/{credential_scope}, '
        f'SignedHeaders=host;x-amz-date, '
        f'Signature={signature}')
</code></pre>


<p><strong>This post is linked to from the <a href="/aws.html">AWS: Deep Dive Project</a></strong></p>
<hr>
<h1 id="workflow">Workflow</h1>
<ol>
<li>Commit code to AWS CodeCommit</li>
<li>CloudWatch rule triggers CodePipeline</li>
<li>CodePipeline uses CodeBuild to build the Docker image</li>
<li>CodePipeline pushes the image to ECR</li>
</ol>
<hr>
<h1 id="deploy-code-to-codecommit">Deploy Code to CodeCommit</h1>
<ol>
<li>Open <a href="https://ca-central-1.console.aws.amazon.com/codesuite/codecommit/repositories">CodeCommit</a>.</li>
<li>Create a repository</li>
<li>Go to your IAM page and edit your user.
<ol>
<li>Look for "HTTPS Git credentials for AWS CodeCommit"</li>
<li>click Generate Credentials</li>
<li>Save your credentials.</li>
</ol>
</li>
<li>Grab the HTTPS URL for your repository and <code>git clone</code> it. Use your new
credentials.</li>
<li>Commit your code (including a Dockerfile) to the CodeCommit repository.</li>
</ol>
<hr>
<h1 id="write-buildspecyml">Write buildspec.yml</h1>
<p>AWS CodeBuild will look for a <code>buildspec.yml</code> file to dictate its actions.
This is where we define how the image will be built. Put it in your CodeCommit
project's root directory.</p>
<p>Here's mine. This will build a docker image and tag it with a timestamp, then
push it to ECR as the timestamp and latest. The variables are defined inside
the build as Environment Variables.</p>
<pre><code class="language-yml"># buildspec.yml
version: 0.2

phases:
  install:
    runtime-versions:
      docker: 18
  pre_build:
    commands:
      - echo Logging in to Amazon ECR...
      - $(aws ecr get-login --no-include-email --region ca-central-1)
      - IMAGE_TAG=$(date +%Y.%m.%d.%I.%M)
  build:
    commands:
      - echo Build started on `date`
      - echo "Building the Docker image."
      - docker build -t $IMAGE_REPO_NAME:$IMAGE_TAG .
      - docker tag $IMAGE_REPO_NAME:$IMAGE_TAG $AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com/$IMAGE_REPO_NAME:$IMAGE_TAG
      - docker tag $IMAGE_REPO_NAME:$IMAGE_TAG $AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com/$IMAGE_REPO_NAME:latest
  post_build:
    commands:
      - echo Build completed on `date`
      - echo Pushing the Docker image...
      - docker push $AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com/$IMAGE_REPO_NAME:$IMAGE_TAG
      - docker push $AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com/$IMAGE_REPO_NAME:latest
</code></pre>
<hr>
<h1 id="define-the-pipeline">Define the Pipeline</h1>
<h2 id="cloud-build-role">Cloud Build Role</h2>
<p><strong>Bad Practice Alert</strong>: These steps don't apply the principal of least
privilege. You should lock down your role to be allowed to do only the minimum
that it needs to do.</p>
<ol>
<li>In the IAM page, create a new role.</li>
<li>It will be used by CodeBuild.</li>
<li>Assing the following policies (again, more than it needs)
<ul>
<li>CloudWatchLogsFullAccess</li>
<li>AWSCodeBuildAdminAccess</li>
<li>AmazonS3FullAccess</li>
<li>AmazonEC2ContainerRegistryFullAccess</li>
<li>AWSCodeCommitFullAccess</li>
</ul>
</li>
<li>Name: Assign a name, such as <code>CloudBuild-Admin</code></li>
</ol>
<h2 id="define-cloudbuild-project">Define CloudBuild project</h2>
<ol>
<li>Navigate to the <a href="https://ca-central-1.console.aws.amazon.com/codesuite/codebuild/projects">CloudBuild Console</a></li>
<li>Create build project</li>
<li>No build badge</li>
<li>Source provider: CodeCommit</li>
<li>Choose your repository</li>
<li>Choose your branch</li>
<li>Managed Image</li>
<li>Operating System: Ubuntu</li>
<li>Runtime: Standard</li>
<li>Image: aws/codebuild/standard:3.0</li>
<li>Image version: latest</li>
<li>Environment type: Linux</li>
<li>Privileged: true</li>
<li>Service Role: Existing service role. Use the one you just made.</li>
<li>Allow CodeBuild to modify this role: False (we gave it admin)</li>
<li>Additional Configuration - Environment variables (click Add to get more)
- IMAGE_REPO_NAME: (your image name)
- AWS_ACCOUNT_ID: (your numeric AWS account iD)
- AWS_DEFAULT_REGION: ca-central-1</li>
<li>Buildspec: Use a buildspec file</li>
<li>Artifacts: No artifacts</li>
<li>Logs: Give a group and stream name for CloudWatch</li>
<li>Create Build Project</li>
</ol>
<p>Now test the build by clicking "Start build". It should create your image.
You'll need to disable artifacts.</p>
<p>Once the build works and your image is pushed successfully to ECR, you can move
on to setting up a pipeline so this happens automatically.</p>
<h2 id="create-pipeline-role">Create Pipeline Role</h2>
<p><strong>Bad Practice Alert</strong>: These steps don't apply the principal of least
privilege. You should lock down your role to be allowed to do only the minimum
that it needs to do.</p>
<ol>
<li>In the IAM page, create a new role.</li>
<li>It will be used by CodeBuild.</li>
<li>Assing the following policies (again, more than it needs)
<ul>
<li>CloudWatchLogsFullAccess</li>
<li>AWSCodeBuildAdminAccess</li>
<li>AmazonS3FullAccess</li>
<li>AmazonEC2ContainerRegistryFullAccess</li>
<li>AWSCodeCommitFullAccess</li>
</ul>
</li>
<li>Name: Assign a name, such as <code>CloudBuild-Admin</code></li>
</ol>
<h2 id="define-the-pipeline-1">Define the pipeline</h2>
<ol>
<li>Open the <a href="https://ca-central-1.console.aws.amazon.com/codesuite/codepipeline/pipelines">CodePipeline console</a></li>
<li>Click Create Pipeline</li>
<li>Name the pipeline</li>
<li>Service Role: New service role</li>
<li>Role Name: Pick a name</li>
<li>Allow AWS CodePipeline to create a role</li>
<li>Next</li>
<li>Source Provider: AWS CodeCommit</li>
<li>Repository Name: Select the repository name</li>
<li>Branch name: master</li>
<li>Change detection: Amazon CloudWatch Events</li>
<li>Next</li>
<li>Build Provider: AWS CodeBuild</li>
<li>Region: Canada (Central)</li>
<li>Project Name: Create Project
<ol>
<li>Project Name: Choose a name</li>
<li>Description: Add a description</li>
<li>Environment image: Managed Image</li>
<li>Operating System: Ubuntu</li>
<li>Runtimes: Standard</li>
<li>Image: aws/codebuild/standard:3.0</li>
<li>Image version: Always use the latest</li>
<li>Environment type: Linux</li>
<li>Privileged: True</li>
<li>Service Role: New service role</li>
<li>Role Name: default name is fine</li>
<li>Advanced Configuration - Environment variables (click Add to get more)
<ul>
<li>IMAGE_REPO_NAME: (your image name)</li>
<li>AWS_ACCOUNT_ID: (your numeric AWS account iD)</li>
<li>AWS_DEFAULT_REGION: ca-central-1</li>
</ul>
</li>
<li>Build specifications: Use a buildspec file</li>
<li>Buildspec name: Leave it blank so it uses buildspec.yml</li>
<li>CloudWatch logs: True</li>
<li>Group name: pick a name</li>
<li>Stream name: pick a name</li>
<li>S3 logs: false</li>
<li>Continue to CodePipeline</li>
</ol>
</li>
<li>Next</li>
<li>Skip deploy stage, pushing to ECR is enough</li>
<li>Create pipeline</li>
</ol>
<p>This will re-run the build that you tested before. It should pass again.</p>


<p><strong>This post is linked to from the <a href="/aws.html">AWS: Deep Dive Project</a></strong></p>
<h1 id="create--terminate-an-ec2-instance-from-python">Create &#x26; Terminate an EC2 Instance from Python</h1>
<p>The IAM user tested for this task has the <code>AmazonEC2FullAccess</code> policy.</p>
<h2 id="create">Create</h2>
<p>Before you begin, determine the following:</p>
<ul>
<li>Image AMI: The example I provide here works, it's for Ubuntu 18.04 in Canada</li>
<li>Security group name</li>
<li>Instance name</li>
<li>Instance type</li>
</ul>
<pre><code class="language-python">import boto3

key_id = 'XXXXXXXXXXXXXX'
key_secret = 'XXXXXXXXXXXXXXXXXXXXXXXXXXX'

session = boto3.Session(
    aws_access_key_id=key_id,
    aws_secret_access_key=key_secret)

# Define the VM properties
image_id='ami-0d0eaed20348a3389' # bionic ca-central LTS
instance_name='Test9'
security_group_name = 'SupportService'
instance_type = 't2.micro'

# Put the properties into the expected format
tag_spec = [{
    'ResourceType': 'instance',
    'Tags': [{
        'Key': 'Name',
        'Value': instance_name }]}]
security_groups=[security_group_name]

# Reserve the instance
ec2_client = session.client('ec2')
reservation = ec2_client.run_instances(
        ImageId=image_id,
        MinCount=1,
        MaxCount=1,
        InstanceType=instance_type,
        KeyName='bwsupport',
        TagSpecifications=tag_spec,
        SecurityGroups=security_groups )

# Now the VM is creating. Optionally you can wait and inspect the instace
instance_data = reservation['Instances'][0]
iid = instance_data['InstanceId']
print(f'Reserved instance "{instance_name}" as {iid}. Waiting until running.')
ec2_resource = session.resource('ec2')
instance = ec2_resource.Instance(iid)
instance.wait_until_running()
state = instance.state['Name']
print(f'Instancei {iid} is {state} - Public IP: {instance.public_ip_address}')
</code></pre>
<h2 id="terminate">Terminate</h2>
<p>You can use the same code as above to get the <code>instance</code> variable.
From there, it's this easy:</p>
<pre><code class="language-python">instance.terminate()
instance.wait_until_terminated()
</code></pre>


<p><strong>This post is linked to from the <a href="/aws.html">AWS: Deep Dive Project</a></strong></p>
<hr>
<p>This post covers how to restrict access to a Lambda function using AWS IAM
roles. It builds on the function written <a href="/aws-lambda.html">in my last post</a></p>
<hr>
<h3 id="table-of-contents">Table of Contents</h3>
<ul>
<li><a href="#create-a-policy-for-your-lambda-function">Create a policy for your lambda function</a>
<ul>
<li><a href="#get-the-arn-of-your-function">Get the ARN of your function</a></li>
<li><a href="#create-the-policy">Create the policy</a></li>
</ul>
</li>
<li><a href="#invoke-lambda-from-python">Invoke Lambda from Python</a></li>
</ul>
<h1 id="create-a-policy-for-your-lambda-function">Create a policy for your lambda function</h1>
<h2 id="get-the-arn-of-your-function">Get the ARN of your function</h2>
<p>Navigate to your function in the AWS Lambda Console. On the top right, the ARN
is displayed. Copy it, you'll use it in the policy.</p>
<h2 id="create-the-policy">Create the policy</h2>
<p>Open the IAM Console and create a new policy.
The JSON looks like this. Note the ARN copied from the Function.</p>
<pre><code class="language-JSON">{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "LambdaInvokeHelloWorld",
            "Effect": "Allow",
            "Action": [
                "lambda:InvokeFunction",
                "lambda:InvokeAsync"
            ],
            "Resource": "arn:aws:lambda:ca-central-1:850047500507:function:HelloWorld"
        }
    ]
}
</code></pre>
<p>Name the policy and assign it to your user. This user should have a Key ID and
Secret Key.</p>
<hr>
<h1 id="invoke-lambda-from-python">Invoke Lambda from Python</h1>
<p>Note that the payloads are in byte format.</p>
<pre><code class="language-python">import json
import boto3

key_id = 'XXXXXXXXXXXXXXXXX'
key_secret = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXX'

session = boto3.Session(
    aws_access_key_id=key_id,
    aws_secret_access_key=key_secret)

client = session.client('lambda')

body = {'name': 'Kyle'}
payload = str.encode(json.dumps(body))
response = client.invoke(FunctionName='HelloWorld', Payload=payload)
print(response['Payload'].read())
</code></pre>
<p>If the user identified by that key has the above permission, they'll be able
to execute this function. Otherwise they'll get a nice permissions error.</p>


<p>This post covers the basics of using AWS Lambda functions.</p>
<h3 id="table-of-contents">Table of Contents</h3>
<ul>
<li><a href="#pricing">Pricing</a></li>
<li><a href="#hello-world-lambda-function">Hello World Lambda Function</a>
<ul>
<li><a href="#create-the-function">Create the function</a></li>
<li><a href="#define-a-test-event">Define a test event</a></li>
<li><a href="#write-the-function-code">Write the function code</a></li>
<li><a href="#define-a-trigger">Define a trigger</a>
<ul>
<li><a href="#test-the-api">Test the API</a></li>
</ul>
</li>
<li><a href="#what-are-layers">...What are layers?</a></li>
</ul>
</li>
</ul>
<h1 id="pricing">Pricing</h1>
<p>For the most accurate data, see the <a href="https://aws.amazon.com/lambda/pricing/">official pricing documentation</a>.</p>
<p>Lambda charges you for each request invocation, and also for how long the
request took to run. These prices are probably in USD.</p>
<ul>
<li><strong>Region</strong>: Canada (Central)</li>
<li><strong>Requests</strong>: $0.20 / 1M Requests, or $0.0000002 / Request</li>
<li><strong>Duration (General)</strong>: $0.000016667 for every GB-second</li>
<li><strong>Duration (128MB)</strong>: $0.00000208/sec, or ~$0.0075/hour.
I think if it as 3/4 of a cent per hour.</li>
</ul>
<hr>
<h1 id="hello-world-lambda-function">Hello World Lambda Function</h1>
<h2 id="create-the-function">Create the function</h2>
<ol>
<li>In your browser, open the AWS console <a href="https://console.aws.amazon.com/lambda">Lambda Page</a>.</li>
<li>Click the orange Create Function button</li>
<li>Author from scratch</li>
<li>Function name: HelloWorld</li>
<li>Runtime: Python 3.7</li>
<li>Permissions: Create a new role with basic lambda permissions</li>
<li>click Create Function on the bottom right</li>
</ol>
<h2 id="define-a-test-event">Define a test event</h2>
<ol>
<li>In the dropdowns along the top, one is called "Select a test event".</li>
<li>Click it, and choose Configure test events</li>
<li>Event template: Hello World</li>
<li>Event name: <code>HelloWorldTest1</code></li>
<li>Enter some sample data and click Create.</li>
</ol>
<p><strong>Sample Data</strong>:</p>
<pre><code class="language-JSON">{
  "body": "{\"name\": \"Test User\"}"
}
</code></pre>
<h2 id="write-the-function-code">Write the function code</h2>
<p>Click on the orange lambda icon with the text "HelloWorld" to open the
"Function code" form. Expand it to full screen (button on top right) so the
Save and Test buttons appear along the top.</p>
<p>Write your Hello World function. This was the shortest one I could come up with
that wouldn't throw 500's if you called it with the wrong data.</p>
<pre><code class="language-python">import json

def lambda_handler(event, context):
    name = 'UNDEFINED'
    if 'body' in event:
        try:
            ebody = json.loads(event['body'])
            name = ebody['name']
        except:
            pass
    greeting = f'Hello {name}!'
    body = json.dumps(greeting)
    return {
        'statusCode': 200,
        'body': body
    }
</code></pre>
<p>Click Save, then Test. You should get a response with body <code>'Hello TestUser'</code>.</p>
<h2 id="define-a-trigger">Define a trigger</h2>
<ol>
<li>Click the "+ Add trigger" button.</li>
<li>API Gateway</li>
<li>REST API</li>
<li>Security: Open (in this case)</li>
<li>Additional Settings: Leave the defaults</li>
</ol>
<p>Now if you click on the purple API Gateway button it will open the API Gateway
form. In there, you can get the URL. Copy the link address.</p>
<h3 id="test-the-api">Test the API</h3>
<p>From bash:</p>
<pre><code class="language-bash">curl \
  -X POST \
  -H 'Content-Type: application/json' \
  -d '{"name": "MyName"}' \
  https://wg8p74asah.execute-api.us-east-1.amazonaws.com/default/HelloWorld
</code></pre>
<p>It should reply "Hello MyName".</p>
<h2 id="what-are-layers">...What are layers?</h2>
<p>Prominently displayed beneath the function's name in the Designer form
is a button to manage Layers.</p>
<p><a href="https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html">Here's their official documentation</a>.</p>
<p>Layers are dependencies like archives and libraries.
Any one function can use up to 5 of them, and they have a 250MB limit.
They land in <code>/opt</code> when extracted.</p>
<p>We don't need layers for this Hello World app.</p>


<p><strong>This project is a "Deep Dive":</strong> In a Deep Dive project I'll be investigating
as much about the subject as time allows and assembling the posts in some
orderly fashion. I'll also be writing high-level notes and opinions in the
project page itself.</p>
<p>In this project I'll be trying many of AWS's services.</p>
<h1 id="project-posts--progress">Project Posts &#x26; Progress</h1>
<p>This project includes the following posts.</p>
<table>
<thead>
<tr>
<th align="left">Date</th>
<th align="left">Article</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"></td>
<td align="left"><strong>Running Servers on AWS</strong></td>
</tr>
<tr>
<td align="left">2020-01-09</td>
<td align="left"><a href="/aws-ec2-python.html">Create &#x26; Terminate EC2 Instances from Python</a></td>
</tr>
<tr>
<td align="left"></td>
<td align="left"><strong>Running Containers on AWS</strong></td>
</tr>
<tr>
<td align="left">2019-08-26</td>
<td align="left"><a href="/aws-ecr.html">Save a Docker image to Elastic Container Registry (ECR)</a></td>
</tr>
<tr>
<td align="left">2019-09-10</td>
<td align="left"><a href="/aws-fargate.html">Run a Docker container Using AWS Fargate</a></td>
</tr>
<tr>
<td align="left">2020-01-15</td>
<td align="left"><a href="/aws-codepipeline-ecr.html">CodePipeline: Continuous Delivery to AWS ECR</a></td>
</tr>
<tr>
<td align="left"></td>
<td align="left"><strong>Cloud Storage</strong></td>
</tr>
<tr>
<td align="left">2019-09-26</td>
<td align="left"><a href="/aws-s3-python.html">Using AWS S3 from Python</a></td>
</tr>
<tr>
<td align="left"></td>
<td align="left"><strong>Serverless Applications</strong></td>
</tr>
<tr>
<td align="left">2020-01-08</td>
<td align="left"><a href="/aws-lambda.html">Lambda basics</a></td>
</tr>
<tr>
<td align="left">2020-01-09</td>
<td align="left"><a href="/aws-lambda-iam.html">IAM for Lambda</a></td>
</tr>
<tr>
<td align="left">2020-01-21</td>
<td align="left"><a href="/aws-api-gateway-iam.html">IAM Authentication using API Gateway</a></td>
</tr>
</tbody>
</table>


<p><strong>This post is linked to from the <a href="/aws.html">AWS: Deep Dive Project</a></strong></p>
<hr>
<p>This post covers how to upload and download files from Amazon's S3 using
Python. Setup is done from the web UI.</p>
<h1 id="create-a-bucket">Create a Bucket</h1>
<p>Go to the <a href="https://s3.console.aws.amazon.com">AWS S3 page</a>.</p>
<p>Click on "+ Create Bucket" and fill out the form. For access, choose
Block all public access. For the rest of the options, the defaults are fine.</p>
<hr>
<h1 id="create-iam-credentials">Create IAM Credentials</h1>
<p>IAM stands for Identity and Access Management.</p>
<h2 id="create-a-policy">Create a Policy</h2>
<p>From the left nav-bar, go to policies. The default policies don't grant
programmatic access, so you need to make a new one.</p>
<p>For admin rights, I just used the visual policy builder and granted it
access to everything. I'll come back and update this guide with how to lock
that down later.</p>
<hr>
<h1 id="add-the-policy-to-a-group">Add the policy to a group</h1>
<p>Go to the groups on the left. Either make a new one or edit an existing one.
Under Permissions, click Attach Policy. If you want, you can also add
<code>AmazonS3FullAccess</code> to see the difference between the two.</p>
<h2 id="createedit-a-user">Create/Edit a User</h2>
<p>On the left nav-bar, go to Users > Add User. Or edit a user that exists.
Fill in the wizard and assign the group.</p>
<hr>
<h1 id="use-python-to-interact-with-s3">Use Python to interact with S3</h1>
<h2 id="install-boto3">Install Boto3</h2>
<p>Python needs boto3 installed to interact with AWS.</p>
<pre><code class="language-bash">pip install boto3
</code></pre>
<h2 id="uploading-and-downloading-files">Uploading and Downloading Files</h2>
<pre><code class="language-python">import boto3

# Fill in the key and key id, or read them from stdin/file/whatever
key_id = ''
key = ''

# Create the authenticated s3 client
session = boto3.Session(aws_access_key_id=key_id, aws_secret_access_key=key)
client = session.client('s3')

# Define the file/object
filename = '/example/file/path'
bucket_name = 'my_bucket'
key = 'my_key'

# Upload Example
client.upload_file(filename, bucket_name, key)

# Download Example
client.download_file(bucket_name, object_name, path)
</code></pre>


<p><strong>This is a Reference Page:</strong> Reference pages are collections of short bits
of information that are useful to look up but not long or interesting enough to
justify having their own dedicated post.</p>
<p>This reference page lists some of the errors that I've personally encountered,
and how I fixed them. I might also include errors I never fixed in case anyone
wants to talk about it.</p>
<hr>
<h3 id="table-of-contents">Table of Contents</h3>
<ul>
<li><a href="#docker-login-fails">Docker Login Fails</a></li>
<li><a href="#runaway-memory-usage-in-ceph-osd-process">Runaway memory usage in Ceph OSD process</a></li>
<li><a href="#chrome-blocks-https127001-with-neterr_cert_revoked">Chrome blocks https://127.0.0.1 with NET::ERR_CERT_REVOKED</a></li>
<li><a href="#failed-command-aws-ecr-get-login">Failed command: aws ecr get-login</a></li>
<li><a href="#pure-storage-iscsi-with-kolla-openstack---fdisk-freezes">Pure Storage iSCSI with Kolla OpenStack - fdisk freezes</a></li>
<li><a href="#weird-chars-when-pasting-on-mac-os">Weird chars when pasting on Mac OS</a></li>
</ul>
<h1 id="docker-login-fails">Docker Login Fails</h1>
<pre><code>Error saving credentials: error storing credentials - err: exit status 1, out: `Cannot autolaunch D-Bus without X11 $DISPLAY`
</code></pre>
<p>I had this happen after running both Ceph-Ansible then Kolla-Ansible on an Ubuntu server, so it could be either of those that set up the conditions for this to happen. <a href="https://github.com/docker/cli/issues/1136">this solution</a> worked for me:</p>
<pre><code class="language-bash">apt-get install -y gnupg2 pass
</code></pre>
<hr>
<h1 id="runaway-memory-usage-in-ceph-osd-process">Runaway memory usage in Ceph OSD process</h1>
<p>It looked like a memory leak. Each OSD process was using around 30GB of RAM.</p>
<p>It turns out that Ceph-Ansible has the following logic when generating its
<code>ceph.conf</code> file:</p>
<pre><code># this math
roles/ceph-config/templates/ceph.conf.j2:{% set _osd_memory_target = (ansible_memtotal_mb * 1048576 * hci_safety_factor / _num_osds) | int %}
# sets osd memory target
roles/ceph-config/templates/ceph.conf.j2:osd memory target = {{ _osd_memory_target | default(osd_memory_target) }}
</code></pre>
<p>In my case, this set the value WAY too high. In one of my deployments, it was
set to <code>37853425827</code>, which is like 35GB (PER OSD SERVICE!).</p>
<p>The 4GB default is much more sane, <code>4294967296</code>.</p>
<pre><code># ceph.conf
[osd]
osd memory target = 4294967296
</code></pre>
<hr>
<h1 id="chrome-blocks-https127001-with-neterr_cert_revoked">Chrome blocks <a href="https://127.0.0.1">https://127.0.0.1</a> with NET::ERR_CERT_REVOKED</h1>
<p>This comes up when I reverse tunnel to a remove web server, forwarding it to my workstation. Chrome has decided to not let you do that. They give this errror:</p>
<pre><code class="language-text">Your connection is not private
Attackers might be trying to steal your information from 127.0.0.1 (for example, passwords, messages, or credit cards). Learn more
NET::ERR_CERT_REVOKED
</code></pre>
<p>To bypass that, open <code>chrome://flags/#allow-insecure-localhost</code> and set allow-insecure-localhost to enabled. Click relaunch. This will nuke your current browser…</p>
<p>Once it relaunches you'll be able to open the site.</p>
<hr>
<h1 id="failed-command-aws-ecr-get-login">Failed command: aws ecr get-login</h1>
<p>This error was caused by a bad NTP config. Renew the NTP lease to fix it.</p>
<pre><code>An error occurred (InvalidSignatureException) when calling the GetAuthorizationToken operation: Signature expired: 20190911T174538Z is now earlier than 20190912T004835Z (20190912T010335Z - 15 min.)
</code></pre>
<hr>
<h1 id="pure-storage-iscsi-with-kolla-openstack---fdisk-freezes">Pure Storage iSCSI with Kolla OpenStack - fdisk freezes</h1>
<p>This was a weird one. When using the Kolla containers project to make a
Cinder-volume container that has the <code>purecinder</code> plugin, I was able to get
OpenStack to create the volumes in Pure but it couldn't mount them to the hosts
for things like creating a volume with the <code>--image</code> argument. That made the
volumes I could create basically useless.</p>
<p>These errors were in the logs:</p>
<pre><code class="language-text"># Lots of these in cinder's log
Trying to connect to iSCSI portal

# also from cinder's log, also recurring:
iscsiadm stderr output when getting sessions: iscsiadm: No active sessions

# in DMESG
FAILED Result: hostbyte=DID_NO_CONNECT driverbyte=DRIVER_OK
</code></pre>
<p>The weirdest part was that the <code>fdisk -l</code> command would totally lock up and
the process running it couldn't be killed even with <code>kill -9</code>. The iSCSI volume
never got properly mounted but Pure support said they could see some data
coming into it.</p>
<p><strong>Root cause</strong>: MTU mismatch. Of course. I had set MTU 9000 on the iSCSI ports,
my host ports, and the switchports heading to the Pure Storage iSCSI
interfaces. I had forgotten to set it on the switch heading to the Dell servers
being used for OpenStack.</p>
<hr>
<h1 id="weird-chars-when-pasting-on-mac-os">Weird chars when pasting on Mac OS</h1>
<p>When you paste sometimes you get <code>^[[200~</code> at the start and <code>^[[201~</code> at the
end of the pasted content. Or maybe <code>0~</code> and <code>1~</code>.</p>
<p>To resolve, run:</p>
<pre><code class="language-bash">printf "\e[?2004l"^C
</code></pre>


<p>How to run a docker container on AWS ECS (Elastic Compute Cloud)  using the AWS
web console. A container from the Elastic Container Registry will be launched.
It will run on Amazon's <a href="https://aws.amazon.com/fargate/">Fargate Container-as-a-Service</a>.</p>
<hr>
<h3 id="table-of-contents">Table of Contents</h3>
<ul>
<li><a href="#launch-a-container-on-fargate">Launch a container on Fargate</a></li>
<li><a href="#publish-containers-network-to-the-internet">Publish container's network to the internet</a></li>
<li><a href="#using-a-custom-domain-name">Using a custom domain name</a></li>
</ul>
<h1 id="launch-a-container-on-fargate">Launch a container on Fargate</h1>
<ol>
<li>Upload an image to AWS ECR. <a href="/aws-ecr.html">See my guide on using AWS ECR</a>.</li>
<li>Open <a href="https://ca-central-1.console.aws.amazon.com/ecs/">AWS ECS</a></li>
<li>Under Container Definition, select Configure</li>
<li>Fill in the form
<ol>
<li>For the image URL, use the URL of the image uploaded to
ECR. I was testing a reverse proxy image, so it looked like this:
<code>000000000000.dkr.ecr.ca-central-1.amazonaws.com/test/revproxy:latest</code></li>
<li>I have my nginx reverse proxy a 256MB soft limit for RAM</li>
<li>For my reverse proxy I made port mappings for port 80 and 443</li>
<li>No need to fill out any of the advanced fields</li>
</ol>
</li>
<li>Fill out the Task Definition section, click Next</li>
<li>Define your service
<ol>
<li>Without a load-balancer, the only way to access your container will be by
using <a href="https://aws.amazon.com/blogs/compute/access-private-applications-on-aws-fargate-using-amazon-api-gateway-privatelink/">PrivateLink</a>.</li>
<li>During the initial cluster create wizard you can choose an Application
Load Balancer. That seems to work well.</li>
</ol>
</li>
<li>Name the Fargate cluster, next</li>
<li>Click create</li>
</ol>
<p>It will take a little while. Once its finished you can click on View Service.</p>
<hr>
<h1 id="publish-containers-network-to-the-internet">Publish container's network to the internet</h1>
<p>Navigate to the newly created service and go to the Details tab. From there you
can see a Load Balancing section. It should have a link to the new load
balancer.</p>
<p>You can also access this page from the left nav-bar by going to Load Balancing,
then choosing the new load balancer.</p>
<p>In the Description tab here, you can find the DNS name that AWS has assigned
to this load balancer. Unfortunately you can't depend on the IP address behind
this FQDN to stay the same.</p>
<hr>
<h1 id="using-a-custom-domain-name">Using a custom domain name</h1>
<p>I'm working on that. Its not intuitive. If you know how, I'd like to hear about
it..</p>


<p><strong>This post is linked to from the <a href="/aws.html">AWS: Deep Dive Project</a></strong></p>
<hr>
<p>This post covers how to make a Docker registry on AWS Elastic Container
Registry (ECR).
To secure the registry, least-privilege roles are created and assigned to
service account users in the AWS AIM tool</p>
<hr>
<h3 id="table-of-contents">Table of contents</h3>
<ul>
<li><a href="#create-an-aws-ecr-repository">Create an AWS ECR Repository</a></li>
<li><a href="#create-an-aws-iam-user-for-the-registry">Create an AWS IAM User For the Registry</a>
<ul>
<li><a href="#create-groups-for-ecr-access">Create Groups for ECR Access</a>
<ul>
<li><a href="#make-a-group-with-write-access">Make a group with write access</a></li>
<li><a href="#make-a-read-only-group">Make a read-only group</a></li>
</ul>
</li>
<li><a href="#create-users-for-ecr-access">Create Users for ECR Access</a></li>
</ul>
</li>
<li><a href="#connect-docker-to-the-new--registry">Connect Docker to the new  Registry</a>
<ul>
<li><a href="#install-the-aws-cli">Install the AWS CLI</a></li>
<li><a href="#configure-the-aws-cli-user">Configure the AWS CLI USER</a></li>
<li><a href="#get-the-docker-login-command">Get the docker login command</a></li>
</ul>
</li>
<li><a href="#push-images-to-the-ecr-registry">Push Images to the ECR Registry</a></li>
</ul>
<h1 id="create-an-aws-ecr-repository">Create an AWS ECR Repository</h1>
<p>Navigate to the
<a href="https://ca-central-1.console.aws.amazon.com/ecr/repositories">AWS ECR Repositories page</a>
and click Create a repository.</p>
<p>Fill in the form to name your repository.</p>
<h1 id="create-an-aws-iam-user-for-the-registry">Create an AWS IAM User For the Registry</h1>
<p>Its a good idea to have user accounts with write access, and others with
read-only access. This way you can push to the registry with your privileged
user but you never need to expose those credentials outside your development
or CI/CD environment.</p>
<h2 id="create-groups-for-ecr-access">Create Groups for ECR Access</h2>
<p>First, review the AWS Group access levels <a href="https://docs.aws.amazon.com/AmazonECR/latest/userguide/ecr_managed_policies.html">here</a>.</p>
<h3 id="make-a-group-with-write-access">Make a group with write access</h3>
<p>Users in this group can push to existing registries but they can't use the CLI
to make new ones.</p>
<ol>
<li>Go to the <a href="https://console.aws.amazon.com/iam">AWS IAM page</a></li>
<li>Click Groups on the sidebar</li>
<li>Name the group, ex: <code>ecr-write</code></li>
<li>Attach Policy: <code>AmazonEC2ContainerRegistryPowerUser</code>, next</li>
<li>Create Group</li>
</ol>
<h3 id="make-a-read-only-group">Make a read-only group</h3>
<p>Its the same procedure as above, but use the read-only policy instead:
<code>AmazonEC2ContainerRegistryReadOnly</code>.</p>
<p>Consider also making an admin group with the
<code>AmazonEC2ContainerRegistryFullAccess</code> permission.</p>
<h2 id="create-users-for-ecr-access">Create Users for ECR Access</h2>
<p>Make two users, one for pushing and one for pulling. You can share the user
will read access to anyone who needs to consume the images.</p>
<p>To make a user:</p>
<ol>
<li>Go to the <a href="https://console.aws.amazon.com/iam">AWS IAM page</a></li>
<li>Click Users on the sidebar</li>
<li>Add User</li>
<li>Enter user name, check Programmatic Access, next</li>
<li>Choose from the groups you just created to grant read/write access, next</li>
<li>Skip the tags, next</li>
<li>Create User. Be sure to save the secret access key in your password manager.</li>
</ol>
<h1 id="connect-docker-to-the-new--registry">Connect Docker to the new  Registry</h1>
<h2 id="install-the-aws-cli">Install the AWS CLI</h2>
<p>The one from apt is really old and doesn't work. Use pip.</p>
<pre><code class="language-bash">apt-get install -y python python-pip
pip install aws awscli
</code></pre>
<p>Test it out</p>
<pre><code class="language-bash">python -m awscli help
</code></pre>
<h2 id="configure-the-aws-cli-user">Configure the AWS CLI USER</h2>
<p>When prompted, enter your key, secret key, region (ca-central-1), and output
format (none):</p>
<pre><code class="language-bash">aws configure
</code></pre>
<h2 id="get-the-docker-login-command">Get the docker login command</h2>
<p>Use the AWS CLI to fetch and execute the docker login command. You can also
export this command to a file to run it, but there's no point since the token
gets invalidated after 12 hours.</p>
<pre><code class="language-bash">$(aws ecr get-login --no-include-email --region ca-central-1)
</code></pre>
<hr>
<h1 id="push-images-to-the-ecr-registry">Push Images to the ECR Registry</h1>
<p>If you click on the Push Commands button in the ECR registry page you'll get
examples programmatically generated for your registry.</p>
<p>Pushing is kind of unintuitive. Unlike a normal <code>registry:2</code> docker registry,
ECR won't automatically create your repositories for you. You have to manually
create each one. You can use the web UI, or log in as an admin user and run the
following:</p>
<pre><code class="language-bash">aws ecr create-repository --repository-name kolla/ubuntu-source-base
</code></pre>
<p>For scripting, this is a handy way of creating the repo if it doesn't exist:</p>
<pre><code class="language-bash">aws ecr describe-repositories --repository-names $repo_name \
  || aws ecr create-repository --repository-name $repo_name
</code></pre>
<p>Then you can push.</p>
<pre><code class="language-bash">docker push $myId.dkr.ecr.ca-central-1.amazonaws.com/$repo:$tag
</code></pre>
<p>If you first create the repository, you get an error like this: <code>name unknown: The repository with name 'kolla/ubuntu-source-base' does not exist in the registry with id '...'</code></p>


Kyle Pericak

"It works in my environment"

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