The new application is built on Red Hat Enterprise Linux operating system
Open source applications provider Red Hat has released its Storage Server 2.0, an open source storage software application for the management of unstructured data.
The new application is built on Red Hat Enterprise Linux operating system which allows customers to deploy cost-effective, scalable storage without compromising on performance.
It integrates community-powered innovation with the volume economics of x86 servers across on-premise, cloud or hybrid environments.
Red Hat Storage Server 2.0 integrates with object storage to help users combine larger amounts of storage into a single centralised pool.
It is optimised for storage-intensive enterprise workloads including high-performance computing, near-line archival and rich media content clouds.
The Unified file and object storage simplifies the management of different kinds of data, giving customers storage and information flexibility, the ability to meet unstructured data storage demands and enhance information access options in a cost-effective manner.
Red Hat Storage Server can be implemented on-premise, in private clouds, in public cloud infrastructures or hybrid cloud environments.
The new open source storage software offers compatibility with more than 50 dual-socket x86-based servers from industry leaders. It support the file access protocols including Common Internet File System (CIFS), Network File System (NFS), HTTP and OpenStack Swift.
Release 2.0 also delivers control without compromising data accessibility and availability, including geo-replication, equipping Red Hat Storage to handle the demanding production workloads.
It also offers support for big data infrastructure, with compatibility for Apache Hadoop that provides a new storage option for Hadoop deployments.
Storage Server 2.0 has the ability to install Red Hat Storage in Hadoop environments, either in combination and along with Hadoop Distributed File System (HDFS) or as a replacement for HDFS, enabling faster file access and opens up data within Hadoop deployments to other file-based or object-based applications.