Giter Site home page Giter Site logo

henrykie / cdk-image-pipeline Goto Github PK

View Code? Open in Web Editor NEW

This project forked from aws-samples/cdk-image-pipeline

0.0 0.0 0.0 1.63 MB

L3 construct that can be used to quickly deploy a complete EC2 Image Builder Image Pipeline

License: Apache License 2.0

JavaScript 4.62% Python 10.42% TypeScript 84.97%

cdk-image-pipeline's Introduction

npm version PyPI version GitHub version

CDK Image Pipeline


L3 construct that can be used to quickly deploy a complete EC2 Image Builder Image Pipeline.

This construct creates the required infrastructure for an Image Pipeline:

  • Infrastructure configuration which specifies the infrastructure within which to build and test your EC2 Image Builder image.

  • An instance profile associated with the infrastructure configuration

  • An EC2 Image Builder recipe defines the base image to use as your starting point to create a new image, along with the set of components that you add to customize your image and verify that everything is working as expected.

  • Image Builder uses the AWS Task Orchestrator and Executor (AWSTOE) component management application to orchestrate complex workflows. AWSTOE components are based on YAML documents that define the scripts to customize or test your image. Support for multiple components.

  • Image Builder image pipelines provide an automation framework for creating and maintaining custom AMIs and container images.

Install


NPM install:

npm install cdk-image-pipeline

PyPi install:

pip install cdk-image-pipeline

Usage


import { ImagePipeline } from 'cdk-image-pipeline'
import { Construct } from 'constructs';

// ...
// Create a new image pipeline with the required properties
new ImagePipeline(this, "MyImagePipeline", {
    components: [
      {
        document: 'component_example.yml',
        name: 'Component',
        version: '0.0.1',
      },
      {
        document: 'component_example_2.yml',
        name: 'Component2',
        version: '0.1.0',
      },
    ],
    kmsKeyAlias: 'alias/my-key',
    profileName: 'ImagePipelineInstanceProfile',
    infraConfigName: 'MyInfrastructureConfiguration',
    imageRecipe: 'MyImageRecipe',
    pipelineName: 'MyImagePipeline',
    parentImage: 'ami-0e1d30f2c40c4c701'
})
// ...

By default, the infrastructure configuration will deploy EC2 instances for the build/test phases into a default VPC using the default security group. If you want to control where the instances are launched, you can specify an existing VPC SubnetID and a list of SecurityGroupIds. In the example below, a new VPC is created and referenced in the ImagePipeline construct object.

import { ImagePipeline } from 'cdk-image-pipeline'
import * as ec2 from 'aws-cdk-lib/aws-ec2';
import { Construct } from 'constructs';

// ...
// create a new VPC
const vpc = new ec2.Vpc(this, "Vpc", {
    cidr: "10.0.0.0/16",
    maxAzs: 2,
    subnetConfiguration: [
        {
            cidrMask: 24,
            name: 'ingress',
            subnetType: ec2.SubnetType.PUBLIC,
        },
        {
            cidrMask: 24,
            name: 'imagebuilder',
            subnetType: ec2.SubnetType.PRIVATE_WITH_NAT,
        },
    ]
});

// create a new security group within the VPC
const sg = new ec2.SecurityGroup(this, "SecurityGroup", {
    vpc:vpc,
});

// get the private subnet from the vpc
const private_subnet = vpc.privateSubnets;


new ImagePipeline(this, "MyImagePipeline", {
    components: [
      {
        document: 'component_example.yml',
        name: 'Component',
        version: '0.0.1',
      },
      {
        document: 'component_example_2.yml',
        name: 'Component2',
        version: '0.1.0',
      },
    ],
    kmsKeyAlias: 'alias/my-key',
    profileName: 'ImagePipelineInstanceProfile',
    infraConfigName: 'MyInfrastructureConfiguration',
    imageRecipe: 'MyImageRecipe',
    pipelineName: 'MyImagePipeline',
    parentImage: 'ami-0e1d30f2c40c4c701',
    securityGroups: [sg.securityGroupId],
    subnetId: private_subnet[0].subnetId,
})
// ...

Python usage:

from cdk_image_pipeline import ImagePipeline
from constructs import Construct

# ...
image_pipeline = ImagePipeline(
    self,
    "LatestImagePipeline",
    components=[
      {
        document: 'component_example.yml',
        name: 'Component',
        version: '0.0.1',
      },
      {
        document: 'component_example_2.yml',
        name: 'Component2',
        version: '0.1.0',
      },
    ],
    kms_key_alias="alias/my-key",
    image_recipe="Recipe4",
    pipeline_name="Pipeline4",
    infra_config_name="InfraConfig4",
    parent_image="ami-0e1d30f2c40c4c701",
    profile_name="ImagePipelineProfile4",
)
# ...
from aws_cdk import (
    # Duration,
    Stack,
    aws_ec2 as ec2,
)
from consturcts import Construct
from cdk_image_pipeline import ImagePipeline

# ...
# create a new VPC
vpc = ec2.Vpc(
    self,
    "MyVpcForImageBuilder",
    cidr="10.0.0.0/16",
    max_azs=2,
    subnet_configuration=[
        ec2.SubnetConfiguration(
            name="Ingress",
            subnet_type=ec2.SubnetType.PUBLIC,
            cidr_mask=24,
        ),
        ec2.SubnetConfiguration(
            name="ImageBuilder", subnet_type=ec2.SubnetType.PRIVATE_WITH_NAT, cidr_mask=24
        ),
    ],
)

# create a new security group within the VPC
sg = ec2.SecurityGroup(self, "SG", vpc=vpc)

# get the private subnet from the vpc
priv_subnets = vpc.private_subnets


image_pipeline = ImagePipeline(
    self,
    "LatestImagePipeline",
    components=[
      {
        document: 'component_example.yml',
        name: 'Component',
        version: '0.0.1',
      },
      {
        document: 'component_example_2.yml',
        name: 'Component2',
        version: '0.1.0',
      },
    ],
    kms_key_alias="alias/my-key",
    image_recipe="Recipe4",
    pipeline_name="Pipeline4",
    infra_config_name="InfraConfig4",
    parent_image="ami-0e1d30f2c40c4c701",
    profile_name="ImagePipelineProfile4",
    security_groups=[sg.security_group_id],
    subnet_id=priv_subnets[0].subnet_id
)
# ...

Component Documents


Image Builder uses the AWS Task Orchestrator and Executor (AWSTOE) component management application to orchestrate complex workflows. AWSTOE components are based on YAML documents that define the scripts to customize or test your image.

You must provide a component document in YAML to the ImagePipeline construct. See the example document below:

name: MyComponentDocument
description: This is an example component document
schemaVersion: 1.0

phases:
  - name: build
    steps:
      - name: InstallUpdates
        action: UpdateOS
  - name: validate
    steps:
      - name: HelloWorldStep
        action: ExecuteBash
        inputs:
          commands:
            - echo "Hello World! Validate."
  - name: test
    steps:
      - name: HelloWorldStep
        action: ExecuteBash
        inputs:
          commands:
            - echo "Hello World! Test.

Multiple Components

To specify multiple components, add additional component documents to the componentDoucments property. You can also add the names and versions of these components via the componentNames and componentVersions properties (See usage examples above). The components will be associated to the Image Recipe that gets created as part of the construct.

Be sure to update the imageRecipeVersion property when making updates to your components after your initial deployment.

SNS Encryption using KMS


Specify an alias via the kmsKeyAlias property which will be used to encrypt the SNS topic.

Infrastructure Configuration Instance Types


Infrastructure configuration contain settings for building and testing your EC2 Image Builder image. This construct allows you to specify a list of instance types you wish to use via the instanceTypes property. The default is: ['t3.medium', 'm5.large', 'm5.xlarge'].

Additional API notes


API Reference

cdk-image-pipeline's People

Contributors

cmagee avatar hsohail94 avatar dependabot[bot] avatar dannysteenman avatar amazon-auto avatar sohail-haaris-bah avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.