Kubernetes provides workload portability. That is, any workloads should spontaneously run on any type of infrastructure where Kubernetes clusters are deployed. In the case of handling stateful workloads, it may not easy to set up persistent storage but it is not impossible
Why kubelet runs as a system service in K8S cluster and not as pod/daemonsets? Many people have this question in mind when they deploy k8s cluster.
Read this article to know about how NFV core is driven by cloud-native projects, lead by Kubernetes to the orchestration of most of the projects plus managing containerized network functions.
How do Kubernetes and OpenStack integrate and what are the benefits? Sagar Nangare has the answers.
Kubernetes supports a microservices architecture through the service construct. It allows developers to abstract away the functionality of a set of Pods and expose it to other developers through a well-defined API.
At a high-level Container Attached Storage is software that includes microservice based storage controllers that are orchestrated by Kubernetes. These storage controllers can run anywhere that Kubernetes can run which means any cloud or even bare metal servers or on top of a traditional shared storage system.
Here, we will discuss kubernetes (k8s), Docker swarm and Mesosphere (Mesos) orchestration engine with their features and limitations. We are not going to discuss orchestration engines in details.
Red Hat team came with an innovative hyperconvergence of OpenStack projects along with Ceph software-defined storage. A solution shows, it is possible to gain better control all edge nodes by reducing control planes and maintain the continuity and sustainability of 5G network along with the performance required by new age applications.
This blog explains where cloud-native approach in NFV been this year and where it’s headed.
This article talks about how Kubernetes has emerged from container orchestration platform to manage complex workloads in AI and Machine Learning Stacks, Managing containers in NFV architecture and handling hardware GPU resources.