Missed Red Hat Summit 2018 in San Francisco? Check out some key moments from the main stage, hear from attendees, and and see what makes Red Hat Summit unique.
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As enterprises seek flexibility in their cloud platforms, container management platforms like Red Hat OpenShift will become an essential part of abstracting individual cloud configuration challenges.
As the world of Tensorflow (an open source software library for dataflow programming across a range of tasks) and K8s (Kubernetes, an open source orchestration framework for containerized applications) come together there is a need for a consistent development workflow, model management, and stre
Containers provide a fantastic means of delivering applications, but they still need an infrastructure to support them. When looking at an on-premise solution, bare metal, virtualization, and private cloud are all viable choices.
Creating a next-generation data and analytics platform involves dealing with increasing amount of data, most of it being live-in-the-moment, generated at a very high speed by a variety of sources - structured, semi-structured, and unstructured.
OpenShift is one of the most adopted Kubernetes-based container platforms.
Testing with a small OpenShift POC environment is an easy way to experiment with container DevOps and the deployment process.
Running modern cloud-based applications requires a level of agility that is not found in traditional on-premise datacenters.
As one of the biggest banks in Central Europe, BZ WBK uses hundreds of systems, many of which were developed years ago when virtualization wasn’t a commodity like it is today.
Traditional disaster recovery means maintaining underutilized datacenters, infrastructure, and software. During outages, your organization endures downtime while backup datacenters and applications come back online.