Continuous Deployment

Microservices Deployments Evolution

Microservices Deployments Evolution

Microservices Are Here, to Stay

A few years back, most software systems had a monolithic architecture and slow release cycle. In the recent years, there is a clear move towards Microservices architecture, which is optimized for scalability, elasticity, failure, and speed of change. This trend has been further enforced by the adoption of cloud and containers, which also enabled practices such as DevOps.

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All these changes have resulted in a growing number of services to develop and an even bigger number of deployments to do. It soon became clear that the explosion in the number of deployments cannot be controlled using pre-microservices tools and techniques, and new ways have been born. In this article, we will see how Cloud Native platforms such as Kubernetes allow deployment of Microservices in high scale with minimal human intervention.

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Building a Continuous Deployment Engine

A couple of weeks ago, I mentioned that we (the Red Hat Inception Team) are building “a thing.”  Given our own internal interest in the topic, you may be wondering why we chose a custom Release Engine over pre-baked tooling. There are many different reasons why we went in this direction; I’m going to cover four.

Why #1: There are many existing FOSS tools to automate portions of a release process, but there seems to be a tooling gap in tying them easily together.

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