The rise of cloud-native applications and infrastructure has resulted in a shift in how software is developed and deployed, with a focus on scalability, flexibility, and resilience.

The combination of software and hardware configurations used to develop, execute, and test code is called an “environment setup.” An environment setup includes major computer hardware aspects such as servers or cloud resources, storage, and processing units.

An “environment” is typically a space in which software can undergo either experimental/temporary uses or permanent uses. We often create them for specific purposes and name them accordingly, such as indicating whether an environment setup is for development, testing, production, etc.

When it came time to host software for a large public audience Codefresh turned to vCluster to provide the security and scalability needed. Codefresh is a Continuous Integration and Continuous Delivery (CD/CD) platform that allows organizations to deploy Kubernetes applications by following the GitOps principles and fulfill all the enterprise requirements such as scalability, security and ease of use.

About five years after Jez Humble and David Harley released their book on Continuous Delivery, Kubernetes entered the public stage and with it, a new way to think about server management hit the mainstream.

What an exciting time we had at Detroit! As we are a completely remote team, KubeCon is one of the rare opportunities when we can get the whole team together.

Now, virtual clusters can be directly used as deployment targets in Argo SAN FRANCISCO–(BUSINESS WIRE)–Loft Labs, provider of developer tooling and multi-tenancy solutions for Kubernetes, today announced an integration with the popular open source tool Argo CD (continuous delivery) to automate the deployment of services to virtual Kubernetes clusters.

Due to its enormous potential, GitOps is currently a very hot topic. Eliminating complex CI/CD pipelines, being developer friendly, and offering an automatically integrated authorization process for deployment are just a few of many advantages.

The use of virtual clusters (vClusters) in Kubernetes, i.e. running virtual clusters inside of physical clusters, has the potential to disrupt the use of Kubernetes in a variety of settings, from cloud-native development to machine learning experiments.