Openshift ,use cases of openshift and let’s see how BMW Group achieved success using Openshift
OpenShift is a family of containerization software products developed by Red Hat. Its flagship product is the OpenShift Container Platform — an on-premises platform as a service built around Docker containers orchestrated and managed by Kubernetes on a foundation of Red Hat Enterprise Linux.
The family’s other products provide this platform through different environments:
OKD serves as the community-driven upstream (akin to the way that Fedora is upstream of Red Hat Enterprise Linux), OpenShift Online is the platform offered as software as a service, and Openshift Dedicated is the platform offered as a managed service.
🌌 Features and benefits of Red Hat OpenShift
🔶A cloud experience, everywhere
Red Hat OpenShift includes an enterprise-grade Linux operating system, container runtime, networking, monitoring, registry, and authentication and authorization solutions. Automate life-cycle management to get increased security, tailored operations solutions, easy-to-manage cluster operations, and application portability.
🔶Run VMs inside Red Hat OpenShift
OpenShift Virtualization is a feature of Red Hat OpenShift that packages each virtual machine (VM) inside a special container, letting you modernize legacy apps alongside new cloud-native and serverless workloads — and manage it all through a single Kubernetes-native architecture.
🔶 Enterprise Kubernetes
You have a lot of choices in Kubernetes solutions. Red Hat OpenShift stands out as a leader with a security-focused, supported Kubernetes platform — including a Red Hat Enterprise Linux foundation. We also offer expert training and consulting for customers that need further support.
🔶 Self-service provisioning
OpenShift makes the process easy by allowing for the integration of the tools you use most across your entire operating environment.
This self-service provisioning helps improve developer productivity by allowing your development team to work with the tools they are most comfortable using — speeding up the development process by enabling faster creation and deployment of applications. At the same time, OpenShift allows your operations staff to retain control over the environment as a whole.
🌌 Let’s See how BMW Group used Openshift for their success
Global automotive group races to automated driving with data platform
The BMW Group needs to access, analyze, and apply large amounts of data collected from sensors used during road tests to support its automated vehicle initiatives. Created by DXC Technology using Red Hat software, the BMW Group’s new data platform helped the group reduce development time with faster, more accurate driving simulations and data analytics.
“ Without this solution, achieving the right level of analysis and efficiency would take literally millions of years of effort. Red Hat OpenShift makes the deployment of new applications as easy as possible for the entire DevOps team.
Dr. Jochen Thaeder
Chief Architect, High-Performance Data-Driven Development (D3) Platform, DXC Technology
Gain high-performance big data capabilities
Worldwide, car manufacturers are focused on introducing automated vehicles, which require hundreds of millions of miles of driving data to prove their safety. To develop the driving algorithms for its automated vehicle initiatives, the BMW Group needed to access, analyze, and apply massive quantities of data — and update its driving applications with new algorithms as they are developed. The group wanted to create a high-performance, data-driven development platform as the IT foundation of its autonomous vehicle efforts.
Provide machine learning capabilities at massive scale
The BMW Group chose to work with DXC Technology to build a solution for its data and performance challenges. To create a Kubernetes-based platform with robust automation capabilities, DXC Technology deployed DXC Robotic Drive, a managed Platform-as-a-Service (PaaS) based on Red Hat OpenShift and other Red Hat technology. This solution helps the BMW Group develop faster with scalable machine learning and big data processing capabilities. The platform was configured and created in just 3 months.
By automating repeatable tasks and providing self-service capabilities, the BMW Group significantly reduced development time and improved developer productivity. The platform also provides massively scalable data collection, processing, and storage capabilities. It offers close to 230 PB of usable storage and the compute power to simulate up to 240 million kilometers of test data. In addition, the BMW Group created a vendor-neutral environment for collaboration with partners and other automotive manufacturers to advance innovation
Established close to 230 PB of usable storage and the compute power to simulate up to 240 million kilometers of test data.
The big aim is really that in the next 3 to 5 years, we will have fully autonomous cars driving on the street. But only those companies that can master the data will be able to succeed in autonomous driving development. We’re on the path to support the BMW Group’s transformation from a mechanical engineering company to a truly data-driven software company.
Industry General Manager, Automotive, DXC Technology