| stelligent/mu |
935 |
|
0 |
0 |
almost 6 years ago |
60 |
June 18, 2020 |
91 |
mit |
Go |
| A full-stack DevOps on AWS framework |
| awslabs/ecs-refarch-continuous-deployment |
828 |
|
0 |
0 |
over 3 years ago |
0 |
|
13 |
apache-2.0 |
Shell |
| ECS Reference Architecture for creating a flexible and scalable deployment pipeline to Amazon ECS using AWS CodePipeline |
| jenkinsci/pipeline-aws-plugin |
422 |
|
0 |
0 |
about 2 years ago |
8 |
April 04, 2017 |
81 |
apache-2.0 |
Java |
| Jenkins Pipeline Step Plugin for AWS |
| aws-samples/aws-serverless-samfarm |
276 |
|
0 |
0 |
over 6 years ago |
0 |
|
6 |
apache-2.0 |
JavaScript |
| This repo is full CI/CD Serverless example which was used in the What's New with AWS Lambda presentation at Re:Invent 2016. |
| amazon-archives/golang-deployment-pipeline |
223 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
apache-2.0 |
Go |
| An example of infrastructure and application CI/CD with AWS CodePipeline, AWS CodeBuild, AWS CloudFormation and AWS CodeDeploy |
| aeksco/aws-pdf-textract-pipeline |
148 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
mit |
TypeScript |
| :mag: Data pipeline for crawling PDFs from the Web and transforming their contents into structured data using AWS textract. Built with AWS CDK + TypeScript |
| stelligent/dromedary |
106 |
|
0 |
0 |
about 5 years ago |
0 |
|
21 |
mit |
JavaScript |
| Sample app to demonstrate a working pipeline using Infrastructure as Code and AWS Code Services |
| Dynatrace/AWSDevOpsTutorial |
91 |
|
0 |
0 |
almost 3 years ago |
0 |
|
7 |
apache-2.0 |
JavaScript |
| Unbreakable DevOps Pipeline Tutorial with AWS CodeDeploy, AWS CodePipeline, AWS Lambda, EC2 and Dynatrace |
| awslabs/aws-simple-cicd |
86 |
|
0 |
0 |
about 3 years ago |
0 |
|
22 |
other |
TypeScript |
| A prescriptive, serverless CI/CD platform leveraging native AWS services built using the AWS Cloud Development Kit (CDK). |
| aws-samples/amazon-sagemaker-safe-deployment-pipeline |
71 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
mit-0 |
Jupyter Notebook |
| Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy. |