In recent years, Kubernetes has become the standard in container orchestration. Originally designed by Google, it outran its competition. It’s much more popular than OpenShift Container Platform and Apache Mesos.

Container deployment has become popular among many engineers, with Kubernetes being their go-to management tool. However, it can be difficult to optimize costs when dealing with multiple Kubernetes clusters.

Running Kubernetes can be very expensive, especially when it is done inefficiently. This is often the case when companies have just started to roll out Kubernetes in their organizations as then the same configuration and setup are often used that worked well for initial test projects or small applications.

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 is a powerful container orchestration system that’s widely used in the industry today. It has many features that make it attractive to organizations, including its ability to automatically scale containerized workloads and automate deployments.

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.