vcluster vcluster is one of those projects that I loved from day 1. Creating Virtual Clusters inside your Kubernetes Cluster makes a lot of sense when Kubernetes namespace isolation is not enough or when creating a full-blown Kubernetes Cluster in a cloud provider is too expensive.

One of the benefits of Loft has been the ability to add fine-grained control to your Kubernetes self-service engine. Our newest release allows you more flexibility to add project quotas, which includes on how many non-sleeping or active virtual clusters are allowed – giving you additional control over what your tenants can spin up.

Kubernetes Multi-Cluster Series Part 1: Introduction to Kubernetes Multi-cluster Deployments Part 2: Managing Kubernetes Cluster Lifecycle Part 3: Authentication and Access Control in Kubernetes Part 4: Kubernetes Self-Service and User Experience Part 5: Kubernetes Cost Optimization This article is the fifth part of a series focused on Kubernetes multi-cluster technology.

Previously, when using sleep mode, users would have to wake a sleeping space either by Manually waking through the Loft UI  Sending Kubernetes API requests to the sleeping space This made accessing any HTTP/HTTPS applications in a sleeping space a bit cumbersome, as they would first need to wake up the space through the aforementioned options.

Maintaining a microservices ecosystem is challenging, without doubt. However, many companies that unravel that day-to-day mystery still struggle with cost—whether or not they fully understand their operating expenses.

Kubernetes has taken the software development world by storm. It gives you an excellent framework to deploy your application with and abstracts away the low-level details of the underlying infrastructure.

One of the most powerful features of Kubernetes is autoscaling, as it’s vital that we find the correct balance when scaling resources in our infrastructures. Scale up more than needed, and you will have unused resources which you must pay for.

Regardless of the infrastructure you are running, it is always important to keep an eye on your costs. There have been enough horror stories of cloud billing getting out of control that teams should have some measures in place to keep an eye on the usage of these resources to avoid surprises.

There is no denying the fact that Kubernetes has experienced widespread adoption in the last few years. Its automated deployment and scaling capabilities have made it easier and more convenient for developers to manage and develop advanced applications and services.

Multi-tenancy in Kubernetes can seem like an appealing solution to many problems. Maybe it’s to give your developers their own space and save costs by doing it inside a single cluster.

It can be challenging to manage costs if your developers use Kubernetes clusters running in the cloud, whether they use shared clusters or have their own dedicated clusters.

Virtual Kubernetes clusters are fully functional Kubernetes clusters that run within another Kubernetes cluster. The difference between a regular Kubernetes namespace and a virtual cluster is that a virtual cluster has its own separate Kubernetes control plane and storage backend.