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
In this episode, Paul Duvall and Brian Jakovich cover recent DevOps on AWS news and speak with Casey Lee from Stelligent about the open-source, full-stack DevOps on AWS tool called mu. Here are the show notes: DevOps on AWS News Launch – .NET Core Support In AWS CodeStar and AWS CodeBuild Build your first Serverless Web Application Take the Journey: Build … Continue reading DevOps on AWS Radio: mu – DevOps on AWS tool (Episode 10)
The mu tool makes it simple and cost-efficient for developers to use AWS as the platform for running their microservices.
Docker Swarm Mode is the latest entrant in a large field of container orchestration systems. Docker Swarm was originally released as a standalone product that ran master and agent containers on a cluster of servers to orchestrate the deployment of containers. This changed with the release of Docker 1.12 in July of 2016. Docker Swarm … Continue reading Docker Swarm Mode on AWS
In this first post of a series exploring containerized CI solutions, I’m going to be addressing the CI tool with the largest market share in the space: Jenkins. Whether you’re already running Jenkins in a more traditional virtualized or bare metal environment, or if you’re using another CI tool entirely, I hope to show you … Continue reading Containerized CI Solutions in AWS – Part 1: Jenkins in ECS
In this second and last part of this two-part series, I will demonstrate how to create a deployment pipeline in AWS CodePipeline to deploy changes to ECS images. In doing this, you’ll see not only how you can automate the creation of the infrastructure but also automating the deployment of the application and its infrastructure via Docker containers. This way you can commit infrastructure, application and deployment changes as code to your version-control repository and have these changes automatically deployed to production or production-like environments.
In this two-part series, you’ll learn how to provision, configure, and orchestrate the EC2 Container Service (ECS) applications into a deployment pipeline that’s capable of deploying new infrastructure and code changes when developers commit changes to a version-control repository so that team members can release new changes to users whenever they choose to do so: Continuous Delivery.