Welcome to the Taikun Glossary! Whether you’re a seasoned Kubernetes enthusiast or diving into the world of high-performance computing (HPC), this glossary is your trusted companion on the journey. Taikun Kubernetes, an open-source distribution tailored for HPC workloads, takes power and flexibility of Kubernetes to new heights. Here, you’ll find an array of terms and […]
Ticketing in Taikun follows a simple and efficient process to ensure smooth customer support interactions. See how it works.
YAML files provide a readable and concise format for configuring and organizing data, making them popular for various applications and systems.
When combined with Taikun, they open up a world of possibilities for application deployment and management. Taikun, with its seamless integration of VMs within a Kubernetes cluster, offers numerous use cases that can benefit organizations of all sizes.
With project quotas, administrators can prevent any individual project from using too many resources and ensure that there are enough resources for all projects within the cluster.
Policy profiles also enable administrators to set storage quotas, limiting the amount of storage space that individual workloads can utilize. This helps manage storage consumption, prevent runaway disk usage, and maintain efficient resource utilization across the cluster.
Showback is a feature in Taikun that enables organizations to track and report resource usage and associated costs within their Kubernetes clusters. It provides insights into resource consumption, allowing administrators and teams to understand the utilization patterns and costs of running VMs. The primary purpose of Showback is to bring transparency and accountability to resource […]
When a pod is not behaving as expected, it is essential to identify and diagnose the root cause of the problem. In this article, we will discuss some common techniques and tools that can be used to debug pods in Kubernetes.
There are several cloud computing deployment models, each with advantages and disadvantages. These models include single-cloud, multi-cloud, private, on-premise, and hybrid. In this article, we will explore each of these models in detail.
Kubernetes has several core components, including the API server, the kubelet, and the controller manager. These components work together to manage the deployment and scaling of containerized applications.