They may also need to address certain special constraints on the Kubernetes cluster for example, some pods may require special hardware, colocation with other specific pods, or isolation from others. Kubernetes is the foundation of modern infrastructure across the data center, hybrid cloud, public cloud and multicloud environments.Īmazon Web Services, the Cloud Native Computing Foundation and KubeCon+CloudNativeCon are sponsors of The New Stack.Organizations and teams often need multi-tenant, heterogeneous Kubernetes clusters to meet users’ application needs. Though Kubernetes had a humble beginning in container orchestration, it quickly evolved to become the operating system of the cloud and the edge. Virtual Kubelet works with Azure Container Instances, Azure IoT Edge, and AWS Fargate control plane. By leveraging the concepts of taints and tolerations, it schedules pods in an external environment by calling its native API.
The agent creates a node resource through the Kubernetes API. The Virtual Kubelet is an agent that runs in an external environment which is registered as a node within the Kubernetes cluster. Microsoft’s Virtual Kubelet project is the most interesting extension of the Kubelet agent and Kubernetes API. KubeVirt VMs run within regular Kubernetes pods, where they have access to standard pod networking and storage, and can be managed using standard Kubernetes tools such as kubectl. It extends Kubernetes by adding resource types for VMs and sets of VMs through Kubernetes’ CustomResourceDefinitions (CRD) API. KubeVirt, a virtual machine management add-on for Kubernetes, is aimed at allowing users to run VMs right alongside containers in their Kubernetes or OpenShift clusters. The KubeEdge project is also a part of CNCF Sandbox. It can be installed on a supported Linux distribution and on an ARM device like a Raspberry Pi.
Available in version 1.3, KubeEdge is stable and addresses the key use cases related to IoT and edge. A large part of IEF has been modified and open sourced for KubeEdge. KubeEdge is based on Huawei’s Intelligent Edge Fabric (IEF) - a commercial IoT edge platform based on Huawei IoT PaaS. KubeEdgeĪt KubeCon+CloudNativeCon 2018 in Seattle, Huawei presented KubeEdge, the official project to bring the power of Kubernetes to the edge. K3s is bringing Kubernetes to the edge computing layer by making it accessible and lightweight.
Its architecture, while maintaining full compatibility and compliance with Cloud Native Computing Foundation (CNCF) Kubernetes conformance tests, is highly optimized for unattended, remote deployments on resource-constrained devices. K3s can be deployed on the most virtual machine in the public cloud, or even on a Raspberry Pi device. It is a unified control plane that integrates seamlessly with existing tools and systems, and makes it easy to set policies, quotas and track reports. These jobs may include deploying virtual machines on physical hosts, placing containers in edge devices, or even extending the control plane to other schedulers such as serverless environments.įrom bare-metal servers to virtual machines to the internet of things (IoT) devices to managed cloud services, Kubernetes has gone beyond containers and pods to tackle multiple provisioning and scheduling challenges.īelow are a few examples of this pattern: CrossplaneĬrossplane aims to standardize infrastructure and application management using the same API-centric, declarative configuration and automation approach pioneered by Kubernetes. Kubernetes is fast becoming the preferred control plane for scheduling and managing jobs in highly-distributed environments. It can solve many of the problems that exist in traditional distributed systems. The powerful scheduler, which was originally designed to deal with the placement of pods on appropriate nodes, is quite extensible. Kubernetes is emerging as one of the best control planes in the context of modern applications and infrastructure.