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EKS Blueprints Patterns¤

Welcome to the EKS Blueprints Patterns repository.

This repository contains a number of samples for how you can leverage the Amazon EKS Blueprints. You can think of the patterns as "codified" reference architectures, which can be explained and executed as code in the customer environment.

Patterns¤

The individual patterns can be found in the lib directory. Most of the patterns are self-explanatory, for some more complex examples please use this guide and docs/patterns directory for more information.

Documentation¤

Please refer to the Amazon EKS Blueprints Patterns documentation site for complete list of Amazon EKS Blueprints patterns documentation.

Please refer to the Amazon EKS Blueprints Quick Start documentation site for complete project documentation.

Usage¤

Before proceeding, make sure AWS CLI is installed on your machine.

To use the eks-blueprints and patterns module, you must have Node.js and npm installed. You will also use make and brew to simplify build and other common actions.

RHEL Setup¤

Follow the below steps to setup and leverage eks-blueprints and eks-blueprints-patterns in your Amazon Linux/CentOS/RHEL Linux machine.

  1. Update the package list

    Update the package list to ensure you're installing the latest versions.

    sudo yum update
    
  2. Install make

    sudo yum install make
    
  3. Install brew by following instructions as detailed in docs.brew.sh

     /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
    

    Add Homebrew to your PATH

    test -d ~/.linuxbrew && eval "$(~/.linuxbrew/bin/brew shellenv)"
    test -d /home/linuxbrew/.linuxbrew && eval "$(/home/linuxbrew/.linuxbrew/bin/brew shellenv)"
    test -r ~/.bash_profile && echo "eval \"\$($(brew --prefix)/bin/brew shellenv)\"" >> ~/.bash_profile
    echo "eval \"\$($(brew --prefix)/bin/brew shellenv)\"" >> ~/.profile
    

    Verify brew installation

    brew -v
    
  4. Install Node.js and npm

    Install Node.js v18 and npm using brew.
    
    ```bash
    brew install node@18
    ```
    
    Note: Node.js package includes npm
    
    Set PATH for node@18
    
    ```bash
    test -r ~/.bash_profile && echo 'export PATH="/home/linuxbrew/.linuxbrew/opt/node@18/bin:$PATH"' >> ~/.bash_profile
    echo 'export PATH="/home/linuxbrew/.linuxbrew/opt/node@18/bin:$PATH"' >> ~/.profile
    export PATH="/home/linuxbrew/.linuxbrew/opt/node@18/bin:$PATH"
    ```
    

    Post completing the above, continue from Verify Node.js and npm Installation

Ubuntu Setup¤

Follow the below steps to setup and leverage eks-blueprints and eks-blueprints-patterns in your Ubuntu Linux machine.

  1. Update the package list

Update the package list to ensure you're installing the latest versions.

sudo apt update
  1. Install make
sudo apt install make
  1. Install brew by following instructions as detailed in docs.brew.sh
 /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

Add Homebrew to your PATH

test -d ~/.linuxbrew && eval "$(~/.linuxbrew/bin/brew shellenv)"
test -d /home/linuxbrew/.linuxbrew && eval "$(/home/linuxbrew/.linuxbrew/bin/brew shellenv)"
test -r ~/.bash_profile && echo "eval \"\$($(brew --prefix)/bin/brew shellenv)\"" >> ~/.bash_profile
echo "eval \"\$($(brew --prefix)/bin/brew shellenv)\"" >> ~/.profile

Verify brew installation

brew -v
  1. Install Node.js and npm

Install Node.js v18 and npm using brew.

brew install node@18

Note: Node.js package includes npm

Set PATH for node@18

test -r ~/.bash_profile && echo 'export PATH="/home/linuxbrew/.linuxbrew/opt/node@18/bin:$PATH"' >> ~/.bash_profile
echo 'export PATH="/home/linuxbrew/.linuxbrew/opt/node@18/bin:$PATH"' >> ~/.profile
export PATH="/home/linuxbrew/.linuxbrew/opt/node@18/bin:$PATH"

Post completing the above, continue from Verify Node.js and npm Installation

Mac Setup¤

Follow the below steps to setup and leverage eks-blueprints and eks-blueprints-patterns in your local Mac laptop.

  1. Install make, node and npm using brew
brew install make
brew install node@18

Note: Node.js package includes npm

Set PATH for node@18

echo 'export PATH="/opt/homebrew/opt/node@18/bin:$PATH"' >> ~/.zshrc
export PATH="/opt/homebrew/opt/node@18/bin:$PATH"

Verify Node.js and npm Installation¤

  1. Check the installed version of Node.js
node -v

The output should be v18.x.x.

  1. Check the installed version of npm
npm -v

The output should be a version greater than 9.x.x.

If your npm version is not 9.x.x or above, update npm with the following command:

sudo npm install -g npm@latest

Verify the installed version by running npm -v.

Repo setup¤

  1. Clone cdk-eks-blueprints-patterns repository
git clone https://github.com/aws-samples/cdk-eks-blueprints-patterns.git
cd cdk-eks-blueprints-patterns

PS: If you are contributing to this repo, please make sure to fork the repo, add your changes and create a PR against it.

  1. Once you have cloned the repo, you can open it using your favourite IDE and run the below commands to install the dependencies and build the existing patterns.

  2. Install project dependencies.

make deps
  • To view patterns that are available to be deployed, execute the following:
npm i
make build
  • To list the existing CDK EKS Blueprints patterns
make list

Note: Some patterns have a hard dependency on AWS Secrets (for example GitHub access tokens). Initially you will see errors complaining about lack of the required secrets. It is normal. At the bottom, it will show the list of patterns which can be deployed, in case the pattern you are looking for is not available, it is due to the hard dependency which can be fixed by following the docs specific to those patterns.

To work with patterns use:
        $ make pattern <pattern-name> <list | deploy | synth | destroy>
Example:
        $ make pattern fargate deploy

Patterns:

        bottlerocket
        data-at-rest
        datadog
        dynatrace-operator
        ecr-image-scanning
        emr
        fargate
        generative-ai-showcase
        generic-cluster-provider
        guardduty
        jupyterhub
        kasten
        keptn-control-plane
        konveyor
        kubecost
        kubeflow
        multi-region
        multi-team
        newrelic
        nginx
        pipeline-multienv-gitops
        pipeline-multienv-monitoring
        pipeline
        rafay
        secure-ingress-cognito
        snyk
        starter
        gmaestro
        workloads-codecommit
  • Bootstrap your CDK environment.
npx cdk bootstrap
  • You can then deploy a specific pattern with the following:
make pattern multi-team deploy

Developer Flow¤

Modifications¤

All files are compiled to the dist folder including lib and bin directories. For iterative development (e.g. if you make a change to any of the patterns) make sure to run compile:

make compile

The compile command is optimized to build only modified files and is fast.

New Patterns¤

To create a new pattern, please follow these steps:

  1. Under lib create a folder for your pattern, such as <pattern-name>-construct. If you plan to create a set of patterns that represent a particular subdomain, e.g. security or hardening, please create an issue to discuss it first. If approved, you will be able to create a folder with your subdomain name and group your pattern constructs under it.
  2. Blueprints generally don't require a specific class, however we use a convention of wrapping each pattern in a plain class like <Pattern-Name>Construct. This class is generally placed in index.ts under your pattern folder.
  3. Once the pattern implementation is ready, you need to include it in the list of the patterns by creating a file bin/<pattern-name>.ts. The implementation of this file is very light, and it is done to allow patterns to run independently.

Example simple synchronous pattern:

import { configureApp } from "../lib/common/construct-utils";
import FargateConstruct from "../lib/fargate-construct";

new FargateConstruct(configureApp(), "fargate"); // configureApp() will create app and configure loggers and perform other prep steps
  1. In some cases, patterns need to use async APIs. For example, they may rely on external secrets that you want to validate ahead of the pattern deployment.

Example async pattern:

import { configureApp, errorHandler } from "../lib/common/construct-utils";

const app = configureApp();

new NginxIngressConstruct().buildAsync(app, "nginx").catch((e) => {
  errorHandler(
    app,
    "NGINX Ingress pattern is not setup. This maybe due to missing secrets for ArgoCD admin pwd.",
    e
  );
});
  1. There are a few utility functions that can be used in the pattern implementation such as secret prevalidation. This function will fail if the corresponding secret is not defined, this preventing the pattern to deploy.
await prevalidateSecrets(
  NginxIngressConstruct.name,
  undefined,
  SECRET_ARGO_ADMIN_PWD
);
await prevalidateSecrets("my-pattern-name", "us-east-1", "my-secret-name"); //

Contributing¤

See Contributing guide for requirements on contribution.

Deploying Blueprints with External Dependency on AWS Resources¤

There are cases when the blueprints defined in the patterns have dependencies on existing AWS Resources such as Secrets defined in the account/region. For such cases, you may see errors if such resources are not defined.

For PipelineMultiEnvGitops please see instructions in this README.

For MultiRegionConstruct the pattern relies on the following secrets defined:

  1. github-ssh-key - must contain GitHub SSH private key as a JSON structure containing fields sshPrivateKey and url. The secret is expected to be defined in us-east-1 and replicated to us-east-2 and us-west-2 regions. For more information on SSH credentials setup see ArgoCD Secrets Support. Example Structure:
{
    "sshPrivateKey": "-----BEGIN THIS IS NOT A REAL PRIVATE KEY-----\nb3BlbnNzaC1rtdjEAAAAABG5vbmUAAAAEbm9uZQAAAAAAAAABAAACFwAAAAdzc2gtcn\nNhAAAAAwEAAQAAAgEAy82zTTDStK+s0dnaYzE7vLSAcwsiHM8gN\nhq2p5TfcjCcYUWetyu6e/xx5Rh+AwbVvDV5h9QyMw4NJobwuj5PBnhkc3QfwJAO5wOnl7R\nGbehIleWWZLs9qq`DufViQsa0fDwP6JCrqD14aIozg6sJ0Oqi7vQkV+jR0ht/\nuFO1ANXBn2ih0ZpXeHSbPDLeZQjlOBrbGytnCbdvLtfGEsV0WO2oIieWVXJj/zzpKuMmrr\nebPsfwr36nLprOQV6IhDDo\n-----END NOT A REAL PRIVATE KEY-----\n",

    "url": "git@github"
}

Note: You can notice explicit \n characters in the sshPrivateKey.

  1. argo-admin-secret - must contain ArgoCD admin password in Plain Text. The secret is expected to be defined in us-east-1 and replicated to us-east-1 and us-west-2 regions.

For `Dynatrace One Agent

  • dynatrace-tokens - must contain API_URL, API_TOKEN and PAAS_TOKEN in Plain Text. The secret is expected to be defined in the target region (either directly or through AWS Secrets Manager Replication).

For keptn-control-plane the pattern relies on the following secrets defined:

  • keptn-secrets - must contain API_TOKEN and BRIDGE_PASSWORD password in Plain Text. The secret is expected to be defined in us-east-1 region.

For newrelic the pattern relies on the following secrets defined:

  • newrelic-pixie-keys - must contain New Relic (required) and Pixie keys (optional). The secret is expected to be defined in the target region (either directly or through AWS Secrets Manager Replication).

For more information on defining secrets for ArgoCD, please refer to Blueprints Documentation as well as known issues.

For nginx please see NGINX Blueprint documentation.

For datadog the pattern relies on the following secret defined:

  • apiKeyAWSSecret - must contain the Datadog API key in Plain Text named datadog-api-key. The secret is expected to be defined in the target region.

For kubeflow please see Kubeflow documentation.

For secure-ingress-cognito please see Secure Ingress using Cognito Blueprint documentation.

For GmaestroConstruct the pattern relies on the following secret defined:

  • granulate-client-id - must contain the client_id Plain Text. The secret is expected to be defined in the target region (either directly or through AWS Secrets Manager Replication).

Security¤

See CONTRIBUTING for more information.

License¤

This library is licensed under the MIT-0 License. See the LICENSE file.