In this blog post, you see a demonstration of Continuous Delivery of a static website to Amazon S3 via AWS CodeBuild and AWS CodePipeline. At the conclusion, you will be able to provision all of the AWS resources by clicking a “Launch Stack” button and going through the AWS CloudFormation steps to launch a solution stack. Using S3 … Continue reading Continuous Delivery to S3 via CodePipeline and CodeBuild
In this episode, Paul Duvall and Brian Jakovich cover recent DevOps on AWS news and discuss how to use AWS CodePipeline to deploy Amazon Alexa skill. Here are the show notes: DevOps on AWS News Infrastructure as Code whitepaper from AWS cfn_nag mentioned Use CloudFormation StackSets to Provision Resources Across Multiple AWS Accounts and Regions How to Use AWS Organizations … Continue reading DevOps on AWS Radio: AWS CodePipeline and Amazon Alexa (Episode 11)
mu is an open-source, full-stack DevOps on AWS tool that simplifies and orchestrates your software delivery lifecycle (environments, services, and pipelines).
If you’ve done any experimentation with the Amazon Alexa voice service, you’ve probably learned that you can use AWS Lambda to write functions that can be executed from Alexa. As a developer, what’s exciting about this is that you can create your own custom Alexa skills to perform anything suited for voice-based computing. You’ll probably … Continue reading Use AWS CodePipeline to Deploy Amazon Alexa Skills
AWS CodeStar is a new service that changes the way development teams deliver software in AWS. CodeStar makes the process of setting up software applications for continuous delivery easier to manage through integrated authorization and access management, centralized member collaboration, and automated environment provisioning. 1 (1) “Working with AWS CodeStar Teams.” Working with AWS CodeStar … Continue reading AWS CodeStar – Quickly develop, build, and deploy applications on AWS
Automation testing is crucial to the success of a continuous delivery pipeline. This post demonstrates the use of mu to add tests to a pipeline.
The mu tool makes it simple and cost-efficient for developers to use AWS as the platform for running their microservices.