This article is the fifth part of a series focused on Kubernetes multi-cluster technology. Part one introduced the series, including the goals and responsibilities of multi-cluster setups.
Kubernetes multi-tenancy is a mode of operation in Kubernetes where multiple users or workloads share cluster resources in isolation from each other. The users/workloads are referred to as tenants and are independent of each other while at the same time integrated into the cluster.
This article is the fourth part of a series focused on Kubernetes multi-cluster technology. Part one gave an introduction to the series, and the goals and responsibilities of multi-cluster setups; part two covered how to manage the cluster lifecycle; and part three looked at access control.
Kubernetes’s popularity continues to grow as increasing numbers of companies adopt it to manage their containerized workloads. According to the 2021 annual CNCF report, ninety-six percent of enterprises surveyed use Kubernetes to some extent—the highest since the survey began in 2016.
vcluster is an open source project that allows users to create and run virtual Kubernetes clusters inside of a shared cluster. A virtual cluster runs inside a namespace of the shared host cluster, but it appears to the user as a standalone, dedicated cluster.
Loft CEO Lukas Gentele and I recently joined Bret Fisher’s Docker and DevOps YouTube stream to talk about vcluster. It was great to stream with Bret.
We’re excited to announce that Loft v2 has shipped. v2 is a set of improvements that we think makes Loft even easier to use and more powerful.
Loft Labs CEO Lukas Gentele gave a talk about virtual Kubernetes clusters at KubeCon North America 2021, and the video is now available on YouTube. You can watch it below.
Kubernetes, an open-source container-orchestration system for automating your application deployment, scaling, and management, has matured so much recently that it’s expanded beyond its original operations usage and will likely continue to do so.
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.
As your organization grows and Kubernetes becomes more integrated into your daily workflow, more complex needs will arise. You probably started with a single cluster for everything, but now you see a need for multiple clusters.
If you need to spin up a Kubernetes environment to run your end-to-end tests, what do you do? Of course, you want your setup to mirror production, but starting a Kubernetes cluster (or multiple clusters) is resource-intensive and slow.
Running a virtual cluster inside a Kubernetes cluster is cool, but running a virtual cluster inside a virtual cluster is some real inception. Watch this YouTube video to see how you can do this with our open source virtual cluster tool called vcluster, or read the transcript below if you prefer.
Kubernetes multi-tenancy provides a number of business and technical advantages over single-tenant clusters. However, multi-tenancy also brings several challenges and pain points with it, one of which is handling Kubernetes custom resource definitions (CRDs).
The Kubernetes and cloud-native ecosystem has become very complex over time. The best illustration for this is probably the CNCF Landscape that currently contains about 1,500 cards.
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.
Kubernetes multi-tenancy is a topic that more and more organizations are interested in as their Kubernetes usage spreads out. However, since Kubernetes is not a multi-tenant system per se, getting multi-tenancy right comes with some challenges.
Many companies have adopted Kubernetes recently. However, most of them still do not realize its full potential because the actual Kubernetes usage in these organizations is very limited.
Virtual Kubernetes Clusters (vClusters) have the potential to bring Kubernetes adoption to the next level. They are running in a physical Kubernetes cluster and can be used in the same way as normal clusters, but still are just a virtual construct.
With the increasing adoption of Kubernetes within organizations, the need for Kubernetes access for applications and engineers is also growing. Since it is neither feasible nor cost-efficient to always use whole physical Kubernetes clusters, virtualization for Kubernetes is the obvious solution.
The Cost of the Cloud Using the cloud is not cheap. If you are using a public cloud, you will get a monthly bill for computing resources, traffic, and for any additional services.
If you are on a higher level of cloud-native development (level 2 or higher according to this article about the typical cloud-native journey of companies), the developers in your team need to have a direct access to Kubernetes.