
Red Hat, Inc., the world's leading
provider of open source solutions, today announced new storage
innovations designed to enable developers to more easily provision and
manage enterprise-grade persistent storage for stateful applications
running in Linux containers. Today's announcement represents the next
step in Red Hat's efforts to transform how enterprise applications are
built, deployed and managed with containers for greater business agility.
The container-native storage capability, available this summer, is
integrated with Red Hat OpenShift Container Platform (formerly OpenShift
Enterprise) to deploy applications and storage in a converged manner
where storage is served from containers. This can eliminate the need to
have an independent storage cluster, enabling customers to achieve
greater efficiency, cost savings, and storage for production-ready
container environments.
This functionality enables a streamlined end-to-end experience for
enterprises using container infrastructure and application development
technologies from Red Hat. The integration of Red Hat Gluster Storage
with Red Hat OpenShift Container Platform offers customers a single
point of support for containers, helping to address a key pain point for
enterprises in this emerging ecosystem.
Traditionally, applications and storage have been managed through
different processes and by separate teams. However, this approach can be
inefficient and cumbersome. Red Hat Gluster Storage 3.1.3 is designed to
address that challenge, enabling developers to control both storage and
application containers using a single control plane with Kubernetes in
Red Hat OpenShift Container Platform. This innovation helps Red Hat
strengthen the technology stack for containers, enabling greater DevOps
integration and automation, from development environments to on-premise
and cloud production environments.
Red Hat Gluster 3.1.3 also offers other performance and stability
improvements, including faster self-healing and high performance
software-defined storage fabric for virtual machines.