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MapR Extends Data Fabric for Kubernetes


MapR Technologies has extended advanced containers integration into the MapR Converged Data Platform. The company is enabling the deployment of stateful applications with its Data Fabric for Kubernetes providing persistent storage and full Kubernetes support with volume access. According to MapR, the Data Fabric for Kubernetes addresses the limitations of container use by providing easy and full data access from within and across clouds and on-premises deployments. It enables stateful applications to be deployed in containers for machine learning pipelines and other production use cases.

The MapR Data Fabric includes a natively integrated Kubernetes volume driver to provide persistent volumes for access to any data—from databases, files and streaming—located on-premises, across clouds and to the edge.  The data fabric’s extension to Kubernetes also provides scheduled automation for multi-tenant, containerized and non-containerized applications located inside and outside of a MapR cluster.

Kubernetes has become almost the de facto standard with respect to container management, Jack Norris, SVP of Data & Applications, MapR. MapR’s focus is on making a Kubernetes-managed environment more robust so that all applications can be containerized, he said.  The Data Fabric for Kubernetes will make it simpler for developers, more effective for administrators, and also give IT the ability to increase utilization and infrastructure agility—within their own data centers, as well as offering the ability to burst to and across clouds.

The MapR Data Fabric includes a natively integrated Kubernetes volume driver to provide persistent volumes for access to any data—from databases, files and streaming—located on-premises, across clouds and to the edge.  The data fabric’s extension to Kubernetes also provides scheduled automation for multi-tenant, containerized and non-containerized applications located inside and outside of a MapR cluster.

Using the MapR Data Fabric for Kubernetes, organizations can enable a global, flexible data fabric that provides high performance access to data as if it were local and can benefit from enterprise security protection, container high availability, snapshots, mirroring and disaster recovery.

The new container extension also offers comprehensive cloud capabilities to the data fabric, including integration with cloud-based container services, such as AWS, Microsoft Azure and Google Cloud; and differentiated data services within a cloud through data synchronization and integrity across availability zones to meet high availability requirements. It also supports easy on-ramp from on-premises and private cloud deployments to public cloud.

The persistent storage for stateful containers is a well-known problem in the container world, said Norris, noting that MapR is providing an “elegantly simple way” to solve that problem that is scalable, fast, and secure.

The MapR Data Fabric for Kubernetes is available now. 

For more information, visit www.mapr.com.


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