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
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.
Adoption of Kubernetes into data centers or cloud has been remarkable since it was released in 2014. As an orchestrator of lightweight application containers, Kubernetes has emerged to handle and schedule diverse IT workloads, from virtualized network functions to AI/ML and GPU hardware resources.
Kubernetes has enabled applications to be cloud native, but application storage has not been enabled with cloud native features from the start. Rook bridges that big gap by making storage cloud native in conjunction with Ceph and other storage systems.
Now, as the focus of many enterprises and technology vendors started to shift to edge, a new architecture may evolve as distributed applications have a different environment with a different type of latency requirement.
The technology world is looking for flexible IT infrastructure that will easily evolve to meet changing data and performance requirements in support of the onslaught of upcoming and lucrative use cases.
Providing lower latency up to 10 microseconds is a new challenge for operators to enable new technologies in the market. For this to happen, data center need to complement the higher broadband network. It forms the base digital innovation to happen in future.
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.
Integration of TF with Akraino edge stack enable enhanced features and utilizes remote compute architecture of TF. A solution can orchestrate all types of workloads like PNFs, VNFs and CNF, implement service chaining at edge sites, workload and data transfer security, automating deployment of control functions and workloads, and more.