There are networks, there special interest groups, there are consortia, there are working groups, there are foundations, there are alliances and there are coalitions.
There are also common enterprise deployment model initiatives.
This is what has brought Hortonworks, IBM and Red Hat together this month and the new three-way union is called an Open Hybrid Architecture Initiative.
This collaboration has come about to attempt to provide a common enterprise deployment model to enable big data workloads to run in a hybrid manner across on-premises, multi-cloud and edge architectures.
It is, to put it simply, all about getting big data to work in more places… and about repatriating from public cloud in instances where public deployments have failed to deliver.
As the initial phase of the initiative, the companies plan to work together to optimize Hortonworks Data Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud Private for Data for use on Red Hat OpenShift, the container and Kubernetes application platform.
The firms say they see customers moving to hybrid cloud environments that use lightweight microservices in the most efficient manner possible.
As such, Hortonworks plans to certify Hortonworks Data Platform (HDP), Hortonworks DataFlow (HDF) and Hortonworks DataPlane as Red Hat Certified Containers on Red Hat OpenShift and looks forward to achieving “Primed” designation.
In addition, Hortonworks will enhance HDP to adopt a cloud-native architecture for on-premises deployments by separating compute and storage and containerising all HDP and HDF workloads.
IBM, for its part, has begun the Red Hat OpenShift certification process for IBM Cloud Private for Data and has achieved “Primed” designation as the first phase.
The move is hoped to provide the OpenShift community of developers with fast access to analytics, data science, machine learning, data management and governance capabilities across hybrid clouds.
The firms says that their customers are “scrambling” to bring applications once designed for public cloud behind the firewall for greater control, lower costs, greater security and easier management.
An IDC Cloud and AI Adoption Survey suggest that more than 80 percent of respondents said they plan to move or repatriate data and workloads from public cloud environments behind the firewall to hosted private clouds or on-premises locations over the next year, because the initial expectations of a single public cloud provider were not realised.
This then, is the kind of result that the vendors are producing in response to this need for cloud repatriation.