Containers and Kubernetes News
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Ruby in Containers
Software changes environments from a development machine to a UAT (user acceptance testing) server environment or even from a test environment to production. It is required that the software runs consistently and reliably in these environments in the process.
There was a time when deploying software was an event, a ceremony because of the difficulty that was required to keep this consistency. Teams spent a lot of time making the destination environments run the software as the source environment. They thereafter prayed that the gods kept the software running perfectly in production as in development.
With containers, deployments are more frequent because we package our applications with their libraries as a unit making them portable thereby helping us maintain consistency and reliability when moving software between environments. For developers, this is improved productivity, portability and ease of scaling.
Because of this portability, containers have become the universal language of the cloud allowing us to move software from one cloud to another without much trouble.
In this article, I will discuss two major concepts to note while working with containers in Ruby. I will discuss how to create small container images and how to test them.
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Kubernetes co-founder on the container revolution and the future of VMs
Containers have exploded in popularity in recent years. To help with the deploying, scaling, and managing of containerized applications, Brendan Burns co-founded Kubernetes - a production-grade container orchestration system. In this episode, Brendan shares how he and his co-founders came up with the idea, how they got started, and what containers mean for the future of Virtual Machines.
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FOSS Project Spotlight: BlueK8s
Kubernetes (aka K8s) is now the de facto container orchestration framework. Like other popular open-source technologies, Kubernetes has amassed a considerable ecosystem of complementary tools to address everything from storage to security. And although it was first created for running stateless applications, more and more organizations are interested in using Kubernetes for stateful applications.
However, while Kubernetes has advanced significantly in many areas during the past couple years, there still are considerable gaps when it comes to running complex stateful applications. It remains challenging to deploy and manage distributed stateful applications consisting of a multitude of co-operating services (such as for use cases with large-scale analytics and machine learning) with Kubernetes.
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How to choose the right storage solution for your containers
We talk to many shops that are adopting, or have adopted, DevOps practices. For many companies, staying ahead of disruption means not only delivering new applications but also optimizing (or changing!) current processes and systems. They are moving to team-based cultures, working in smaller increments, and automating their environments to try to increase the velocity for software development and deployment.
Having a common storage underpinning that is "self-service" for developers to provision and manage storage for their applications means teams have less friction in developing and shipping applications.
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