The Open Source Leader Red Hat announced the General Availability of Red Hat Storage Server 3.
Red Hat Storage Server 3 (RHSS3) combines Red Hat Enterprise Linux 6 and GlusterFS 3.6 to create a massively scalable, high performance, highly-available and cost-effective storage offering. This release introduces volume snapshots, monitoring using Nagios, increased usable capacity per storage server, Hadoop workload support, non-disruptive upgrade from the previous version and supportability enhancements to address your data protection and storage management challenges for unstructured and big data storage.
- Red Hat Enterprise Linux 6
- GlusterFS 3.6
- Massively scalable, High performance, Highly-available and cost-effective storage.
- Introduces volume snapshots.
The snapshot feature provides a point-in-time copy of Red Hat Storage volume(s) that enables file and volume restoration. Snapshots can be taken online.
- Monitoring using Nagios.
The Monitoring functionality based on Nagios is packaged to work in conjunction with Red Hat Storage Console or can be set up to run in a standalone mode. You may also integrate it with your existing Nagios infrastructure or 3rd party management platforms.
- Increased usable capacity per storage server.
You can now attach up to 60 disk drives to each Server node, compared to 36 disks previously. With 6 TB disk drives now available, you can create a 1 PB storage pool with just 3 Red Hat Storage Servers. Each storage cluster now supports up to 128 nodes, up from 64 nodes.
- Hadoop workload support.
Red Hat Storage now offers a Hadoop File System plugin that enables Hadoop distributions. RHSS for Hadoop Analytics workloads include: data ingestion via NFS & FUSE, no single point of failure, POSIX compliance, co-location of data and computation, ability to run Hadoop jobs across multiple namespace using multiple Red Hat Storage volumes, and strong disaster recovery capabilities.
- Non-disruptive upgrade from the previous version and supportability enhancements to address your data protection and storage management challenges for unstructured and big data storage.
Reference : www.redhat.com