Large IT organizations are increasingly looking to develop innovative software applications in hybrid and multi clouds architectures. A lot of these applications have to be developed and deployed in an on-premises private cloud for various reasons (e.g. security and compliance, data affinity, performance, etc.). This private cloud should be simple, agile, flexible, secure, cost efficient, and a key part of their overall Hybrid and Multi cloud architecture.
I am very excited to announce that we have published a new Reference Architecture that showcases the power of running Red Hat OpenShift Container Platform on top of Red Hat OpenStack Platform, Red Hat Enterprise Linux and Red Hat Ceph Storage. This new reference architecture demonstrates a private cloud solution for enterprise, telco IT, government, and IT service providers that desire a private cloud with programmable Infrastructure as a Service (IaaS), Containers as a Service (CaaS), and Platform as a Service (PaaS) capabilities. The key targeted use cases for this solution are software developer cloud, web, mobile, AI/ML, and predictive analytics workloads.
The key architecture components of the solution are:
A range of testing was performed in the Red Hat labs to validate these design and deployment best practices, aiming to help you achieve faster time to business value. This architecture specifically applies to OpenShift Container Platform 3.11 and OpenStack Platform 13.
This solution is built on proven enterprise open source technologies that are supported by Red Hat. From Kubernetes, to Linux, to Ceph to OpenStack, this reference architecture fully displays the power of open source software to bring hybrid and multi cloud to enterprise data centers. Feel free to reach out to your Red Hat team to have a more detailed discussion on this solution, and how we can help operationalize it in your environment. Other OpenShift reference architectures, including those for previous versions of OpenShift on OpenStack, can be found here.
This is a guest post by Yochay Ettun, CEO & Co-founder of cnvrg.io . Machine Learning (ML) is rapidly becoming essential to all businesses and organizations around the world. However, this means that ...