• Stars
    star
    842
  • Rank 54,118 (Top 2 %)
  • Language
    Shell
  • License
    Apache License 2.0
  • Created over 8 years ago
  • Updated about 2 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

ECS Reference Architecture for creating a flexible and scalable deployment pipeline to Amazon ECS using AWS CodePipeline

ECS Reference Architecture:ย Continuous Deployment

The ECS Continuous Deployment reference architecture demonstrates how to achieve continuous deployment of an application to Amazon Elastic Container Service (Amazon ECS) using AWS CodePipeline and AWS CodeBuild. With continuous deployment, software revisions are deployed to a production environment automatically without explicit approval from a developer, making the entire software release process automated.

Launching this AWS CloudFormation stack provisions a continuous deployment process that uses AWS CodePipeline to monitor a GitHub repository for new commits and AWS CodeBuild to create a new Docker container image and to push it into Amazon Elastic Container Registry (Amazon ECR).

When creating this stack, you can opt to deploy the service onto AWS Fargate or Amazon EC2. AWS Fargate allows you to run containers without managing clusters or services. If you choose Amazon EC2, an Auto Scaling group of t2.micro instances will be created to host your service.

Running the example

1. Fork the GitHub repository

Fork the Amazon ECS sample app GitHub repository into your GitHub account.

From your terminal application, execute the following command (make sure to replace <your_github_username> with your actual GitHub username):

git clone https://github.com/<your_github_username>/ecs-demo-php-simple-app

This creates a directory named ecs-demo-php-simple-app in your current directory, which contains the code for the Amazon ECS sample app.

2. Create the CloudFormation stack

Deploy Region Name Region Launch Types
๐Ÿš€ US East (N. Virginia) us-east-1 Fargate, EC2
๐Ÿš€ US East (Ohio) us-east-2 EC2
๐Ÿš€ US West (N. California) us-west-1 EC2
๐Ÿš€ US West (Oregon) us-west-2 EC2
๐Ÿš€ EU (Ireland) eu-west-1 EC2
๐Ÿš€ EU (London) eu-west-2 EC2
๐Ÿš€ EU (Frankfurt) eu-central-1 EC2
๐Ÿš€ Asia Pacific (Singapore) ap-southeast-1 EC2
๐Ÿš€ Asia Pacific (Sydney) ap-southeast-2 EC2
๐Ÿš€ Asia Pacific (Tokyo) ap-northeast-1 EC2
๐Ÿš€ Asia Pacific (Seoul) ap-northeast-2 EC2
๐Ÿš€ Canada (Central) ca-central-1 EC2

This reference architecture can only be deployed to Regions which have all necessary services available. See the Region Table for information about service availability.

The CloudFormation template requires the following parameters:

  • Cluster Configuration

    • Launch Type: Deploy the service using either AWS Fargate or Amazon EC2. Selecting EC2 will create an Auto Scaling group of t2.micro instances for your cluster. See the documentation to learn more about launch types.
  • GitHub Configuration

    • Repo: The repo name of the sample service.
    • Branch: The branch of the repo to deploy continuously.
    • User: Your username on GitHub.
    • Personal Access Token: Token for the user specified above. (https://github.com/settings/tokens)

The CloudFormation stack provides the following output:

  • ServiceUrl: The sample service that is being continuously deployed.
  • PipelineUrl: The continuous deployment pipeline in the AWS Management Console.

Testing the example

After the CloudFormation stack is created, the latest commit to the GitHub repository is run through the pipeline and deployed to ECS. Open the PipelineUrl to watch the first revision run through the CodePipeline pipeline. After the deploy step turns green, open the URL from ServiceUrl which loads a page similar to this:

ECS sample app

To test continuous deployment, make a change to src/index.php in the ecs-demo-php-simple-app repository and push it to GitHub. CodePipeline detects the change, builds the new application, and deploys it to your cluster automatically. After the pipeline finishes deploying the revision, reload the page to see the changes made.

Cleaning up the example resources

To remove all resources created by this example, do the following:

  1. Delete the main CloudFormation stack which deletes the substacks and resources.

  2. Manually delete resources which may contain content:

    • S3 Bucket: ArtifactBucket
    • ECR Repository: Repository

CloudFormation template resources

The following sections explains all of the resources created by the CloudFormation template provided with this example.

DeploymentPipeline

Resources that compose the deployment pipeline include the CodeBuild project, the CodePipeline pipeline, an S3 bucket for deployment artifacts, and all necessary IAM roles used by those services.

Service

An ECS task definition, service, IAM role, and ECR repository for the sample application. This template is used by the CodePipeline pipeline to deploy the sample service continuously.

Cluster

An ECS cluster optionally backed by an Auto Scaling group of EC2 instances running the Amazon ECS-optimized AMI for the EC2 launch type.

Load Balancer

An Application Load Balancer to be used for traffic to the sample application.

VPC

A VPC with two public subnets on two separate Availability Zones, an internet gateway, and a route table with a default route to the public internet.

License

This reference architecture sample is licensed under Apache 2.0.

More Repositories

1

git-secrets

Prevents you from committing secrets and credentials into git repositories
Shell
11,616
star
2

llrt

LLRT (Low Latency Runtime) is an experimental, lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications.
JavaScript
8,074
star
3

aws-shell

An integrated shell for working with the AWS CLI.
Python
7,182
star
4

mountpoint-s3

A simple, high-throughput file client for mounting an Amazon S3 bucket as a local file system.
Rust
4,475
star
5

autogluon

AutoGluon: AutoML for Image, Text, and Tabular Data
Python
4,348
star
6

gluonts

Probabilistic time series modeling in Python
Python
3,686
star
7

aws-sdk-rust

AWS SDK for the Rust Programming Language
Rust
3,014
star
8

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Scala
2,871
star
9

aws-lambda-rust-runtime

A Rust runtime for AWS Lambda
Rust
2,829
star
10

amazon-redshift-utils

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
Python
2,643
star
11

diagram-maker

A library to display an interactive editor for any graph-like data.
TypeScript
2,359
star
12

amazon-ecr-credential-helper

Automatically gets credentials for Amazon ECR on docker push/docker pull
Go
2,261
star
13

amazon-eks-ami

Packer configuration for building a custom EKS AMI
Shell
2,164
star
14

aws-lambda-powertools-python

A developer toolkit to implement Serverless best practices and increase developer velocity.
Python
2,148
star
15

aws-well-architected-labs

Hands on labs and code to help you learn, measure, and build using architectural best practices.
Python
1,834
star
16

aws-config-rules

[Node, Python, Java] Repository of sample Custom Rules for AWS Config.
Python
1,473
star
17

smithy

Smithy is a protocol-agnostic interface definition language and set of tools for generating clients, servers, and documentation for any programming language.
Java
1,356
star
18

aws-support-tools

Tools and sample code provided by AWS Premium Support.
Python
1,290
star
19

open-data-registry

A registry of publicly available datasets on AWS
Python
1,199
star
20

sockeye

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Python
1,181
star
21

aws-lambda-powertools-typescript

Powertools is a developer toolkit to implement Serverless best practices and increase developer velocity.
TypeScript
1,179
star
22

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
Python
1,144
star
23

aws-sdk-ios-samples

This repository has samples that demonstrate various aspects of the AWS SDK for iOS, you can get the SDK source on Github https://github.com/aws-amplify/aws-sdk-ios/
Swift
1,038
star
24

amazon-kinesis-video-streams-webrtc-sdk-c

Amazon Kinesis Video Streams Webrtc SDK is for developers to install and customize realtime communication between devices and enable secure streaming of video, audio to Kinesis Video Streams.
C
1,031
star
25

aws-sdk-android-samples

This repository has samples that demonstrate various aspects of the AWS SDK for Android, you can get the SDK source on Github https://github.com/aws-amplify/aws-sdk-android/
Java
1,018
star
26

aws-solutions-constructs

The AWS Solutions Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions
TypeScript
1,013
star
27

aws-lambda-go-api-proxy

lambda-go-api-proxy makes it easy to port APIs written with Go frameworks such as Gin (https://gin-gonic.github.io/gin/ ) to AWS Lambda and Amazon API Gateway.
Go
1,005
star
28

aws-cfn-template-flip

Tool for converting AWS CloudFormation templates between JSON and YAML formats.
Python
991
star
29

eks-node-viewer

EKS Node Viewer
Go
947
star
30

multi-model-server

Multi Model Server is a tool for serving neural net models for inference
Java
936
star
31

ec2-spot-labs

Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
Jupyter Notebook
905
star
32

aws-mobile-appsync-sdk-js

JavaScript library files for Offline, Sync, Sigv4. includes support for React Native
TypeScript
902
star
33

aws-saas-boost

AWS SaaS Boost is a ready-to-use toolset that removes the complexity of successfully running SaaS workloads in the AWS cloud.
Java
901
star
34

fargatecli

CLI for AWS Fargate
Go
891
star
35

fortuna

A Library for Uncertainty Quantification.
Python
882
star
36

aws-api-gateway-developer-portal

A Serverless Developer Portal for easily publishing and cataloging APIs
JavaScript
879
star
37

dynamodb-data-mapper-js

A schema-based data mapper for Amazon DynamoDB.
TypeScript
818
star
38

goformation

GoFormation is a Go library for working with CloudFormation templates.
Go
812
star
39

flowgger

A fast data collector in Rust
Rust
796
star
40

aws-js-s3-explorer

AWS JavaScript S3 Explorer is a JavaScript application that uses AWS's JavaScript SDK and S3 APIs to make the contents of an S3 bucket easy to browse via a web browser.
HTML
771
star
41

aws-icons-for-plantuml

PlantUML sprites, macros, and other includes for Amazon Web Services services and resources
Python
737
star
42

aws-devops-essential

In few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market for new product capabilities.
Shell
674
star
43

aws-apigateway-lambda-authorizer-blueprints

Blueprints and examples for Lambda-based custom Authorizers for use in API Gateway.
C#
660
star
44

amazon-ecs-nodejs-microservices

Reference architecture that shows how to take a Node.js application, containerize it, and deploy it as microservices on Amazon Elastic Container Service.
Shell
650
star
45

aws-deployment-framework

The AWS Deployment Framework (ADF) is an extensive and flexible framework to manage and deploy resources across multiple AWS accounts and regions based on AWS Organizations.
Python
636
star
46

amazon-kinesis-client

Client library for Amazon Kinesis
Java
621
star
47

aws-lambda-web-adapter

Run web applications on AWS Lambda
Rust
610
star
48

dgl-lifesci

Python package for graph neural networks in chemistry and biology
Python
594
star
49

data-on-eks

DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS
HCL
590
star
50

aws-security-automation

Collection of scripts and resources for DevSecOps and Automated Incident Response Security
Python
585
star
51

aws-glue-libs

AWS Glue Libraries are additions and enhancements to Spark for ETL operations.
Python
565
star
52

python-deequ

Python API for Deequ
Python
535
star
53

aws-athena-query-federation

The Amazon Athena Query Federation SDK allows you to customize Amazon Athena with your own data sources and code.
Java
507
star
54

amazon-dynamodb-lock-client

The AmazonDynamoDBLockClient is a general purpose distributed locking library built on top of DynamoDB. It supports both coarse-grained and fine-grained locking.
Java
469
star
55

shuttle

Shuttle is a library for testing concurrent Rust code
Rust
465
star
56

ami-builder-packer

An example of an AMI Builder using CI/CD with AWS CodePipeline, AWS CodeBuild, Hashicorp Packer and Ansible.
465
star
57

route53-dynamic-dns-with-lambda

A Dynamic DNS system built with API Gateway, Lambda & Route 53.
Python
461
star
58

aws-servicebroker

AWS Service Broker
Python
461
star
59

diagram-as-code

Diagram-as-code for AWS architecture.
Go
459
star
60

amazon-ecs-local-container-endpoints

A container that provides local versions of the ECS Task Metadata Endpoint and ECS Task IAM Roles Endpoint.
Go
456
star
61

datawig

Imputation of missing values in tables.
JavaScript
454
star
62

aws-jwt-verify

JS library for verifying JWTs signed by Amazon Cognito, and any OIDC-compatible IDP that signs JWTs with RS256, RS384, and RS512
TypeScript
452
star
63

aws-config-rdk

The AWS Config Rules Development Kit helps developers set up, author and test custom Config rules. It contains scripts to enable AWS Config, create a Config rule and test it with sample ConfigurationItems.
Python
444
star
64

ecs-refarch-service-discovery

An EC2 Container Service Reference Architecture for providing Service Discovery to containers using CloudWatch Events, Lambda and Route 53 private hosted zones.
Go
444
star
65

ssosync

Populate AWS SSO directly with your G Suite users and groups using either a CLI or AWS Lambda
Go
443
star
66

handwritten-text-recognition-for-apache-mxnet

This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.
Jupyter Notebook
442
star
67

awscli-aliases

Repository for AWS CLI aliases.
437
star
68

snapchange

Lightweight fuzzing of a memory snapshot using KVM
Rust
436
star
69

threat-composer

A simple threat modeling tool to help humans to reduce time-to-value when threat modeling
TypeScript
426
star
70

aws-security-assessment-solution

An AWS tool to help you create a point in time assessment of your AWS account using Prowler and Scout as well as optional AWS developed ransomware checks.
423
star
71

lambda-refarch-mapreduce

This repo presents a reference architecture for running serverless MapReduce jobs. This has been implemented using AWS Lambda and Amazon S3.
JavaScript
422
star
72

aws-lambda-cpp

C++ implementation of the AWS Lambda runtime
C++
409
star
73

pgbouncer-fast-switchover

Adds query routing and rewriting extensions to pgbouncer
C
396
star
74

aws-sdk-kotlin

Multiplatform AWS SDK for Kotlin
Kotlin
392
star
75

aws-cloudsaga

AWS CloudSaga - Simulate security events in AWS
Python
389
star
76

amazon-kinesis-producer

Amazon Kinesis Producer Library
C++
385
star
77

soci-snapshotter

Go
383
star
78

serverless-photo-recognition

A collection of 3 lambda functions that are invoked by Amazon S3 or Amazon API Gateway to analyze uploaded images with Amazon Rekognition and save picture labels to ElasticSearch (written in Kotlin)
Kotlin
378
star
79

amazon-sagemaker-workshop

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
Jupyter Notebook
378
star
80

serverless-rules

Compilation of rules to validate infrastructure-as-code templates against recommended practices for serverless applications.
Go
378
star
81

logstash-output-amazon_es

Logstash output plugin to sign and export logstash events to Amazon Elasticsearch Service
Ruby
374
star
82

kinesis-aggregation

AWS libraries/modules for working with Kinesis aggregated record data
Java
370
star
83

smithy-rs

Code generation for the AWS SDK for Rust, as well as server and generic smithy client generation.
Rust
369
star
84

syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Python
367
star
85

graphstorm

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
Python
366
star
86

dynamodb-transactions

Java
354
star
87

amazon-kinesis-client-python

Amazon Kinesis Client Library for Python
Python
354
star
88

aws-sigv4-proxy

This project signs and proxies HTTP requests with Sigv4
Go
351
star
89

aws-serverless-data-lake-framework

Enterprise-grade, production-hardened, serverless data lake on AWS
Python
349
star
90

amazon-kinesis-agent

Continuously monitors a set of log files and sends new data to the Amazon Kinesis Stream and Amazon Kinesis Firehose in near-real-time.
Java
342
star
91

rds-snapshot-tool

The Snapshot Tool for Amazon RDS automates the task of creating manual snapshots, copying them into a different account and a different region, and deleting them after a specified number of days
Python
337
star
92

amazon-kinesis-scaling-utils

The Kinesis Scaling Utility is designed to give you the ability to scale Amazon Kinesis Streams in the same way that you scale EC2 Auto Scaling groups โ€“ up or down by a count or as a percentage of the total fleet. You can also simply scale to an exact number of Shards. There is no requirement for you to manage the allocation of the keyspace to Shards when using this API, as it is done automatically.
Java
333
star
93

amazon-kinesis-video-streams-producer-sdk-cpp

Amazon Kinesis Video Streams Producer SDK for C++ is for developers to install and customize for their connected camera and other devices to securely stream video, audio, and time-encoded data to Kinesis Video Streams.
C++
332
star
94

landing-zone-accelerator-on-aws

Deploy a multi-account cloud foundation to support highly-regulated workloads and complex compliance requirements.
TypeScript
330
star
95

statelint

A Ruby gem that provides a command-line validator for Amazon States Language JSON files.
Ruby
330
star
96

generative-ai-cdk-constructs

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
TypeScript
327
star
97

route53-infima

Library for managing service-level fault isolation using Amazon Route 53.
Java
326
star
98

aws-automated-incident-response-and-forensics

326
star
99

mxboard

Logging MXNet data for visualization in TensorBoard.
Python
326
star
100

crossplane-on-eks

Crossplane bespoke composition blueprints for AWS resources
HCL
319
star