Case Study on Ansible !

1. Ansible is open-source configuration management, software provisioning ,application-deployment tool enabling infrastructure as a code. It can run over UNIX, LINUX, MACOS, and WINDOWS. It is written in Python, Powershell , and Ruby language.
2. Ansible has the capability to configure 1000’s servers.
3. Ansible uses the ad-hoc method and playbook method to configure servers.
4. Ansible internally uses YAML language.

ADVANTAGES OF ANSIBLE

• Free — It is an open-source tool.
• Powerful — It Set Up Complex UseCases very easily.
• Easy Setup — no need to have any coding skills to write an ansible-playbook.
• Flexible — Ansible does not ask for a particular O.S. command it just asks what to do?
• Agentless — The client does not require any software to run ansible.

BMW Case Study

CHALLENGE

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.

SOLUTION

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.

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