Delivering software as rapidly as your technology and business will allow should be the main goal of any organized engineering team. Each organization, project and team must define what the cadence of delivery will be. Regardless of the frequency of your deployments, it’s the responsibility of your DevOps team to provide the guidance and technology … Continue reading DevOps Culture: Building Confidence in Delivery
In this episode, Paul Duvall and Brian Jakovich cover recent DevOps on AWS news along with a discussion with Michael and Andreas Wittig who are the authors of the best selling book, Amazon Web Services in Action. Here are the show notes: DevOps on AWS News State of DevOps Report has been released Configure Cross-Account … Continue reading DevOps on AWS Radio: AWS in Action – Michael and Andreas Wittig (Ep. 18)
In our previous post on automating AWS Budgets, I included an embedded audio file that read each word of the blog post. I did this using an AWS service called Amazon Polly – which turns text into lifelike speech using deep learning. I got the idea after noticing that Jeff Barr, Chief Evangelist at AWS, had started providing this capability … Continue reading Automating Amazon Polly for WordPress
Everything these days is a blah-blah-as-a-service, and your development lifecycle should be no different. When you provide a well working and documented services that your team can use to provision resources and introduce change in a controlled way; you will enable your teams to innovate and focus on building value for your customers. How do … Continue reading DevOps Culture: Self-Service-as-a-Service
A HashiCorp Nomad cluster is blazingly fast and stable. The simplicity of its singular purpose makes for extremely fast container and process scheduling, as well as cluster convergence events. Using the Raft consensus protocol, Nomad is great for running microservices and batch jobs. This blog post will describe deploying a Nomad cluster on AWS with … Continue reading Nomad and Consul
If you want to get into microservices, but aren’t ready to take the container plunge, you can deploy mu projects directly to AWS EC2 instances. Using mu’s EC2 mode, you can leverage the benefits of microservices without containerization, and speed up development feedback loops.
AWS Cloud9 is a cloud-based Integrated Development Environment (IDE) for writing, running, and debugging code. With Cloud9, you can code with only your web browser. No need to download software, configure your environments, or setup your IDE and its configuration on each of your computers. You can collaborate in the same environment with other developers while … Continue reading Automating AWS Cloud9
Use the AWS Serverless Application Repository to deploy CodePipeline Dashboard solution
In this post, you’ll learn the process for creating and testing a mu extension.
“Continuous delivery is a DevOps software development practice where code changes are automatically built, tested, and prepared for a release to production. It expands upon continuous integration by deploying all code changes to a testing environment and/or a production environment after the build stage. When continuous delivery is implemented properly, developers will always have a … Continue reading Using AWS CodePipeline to achieve Continuous Delivery