%BOOK_ENTITIES; ]> This section describes the key features available in Red Hat Storage. The following is a list of feature highlights of this new version of the Red Hat Storage software: High Availability The Red Hat Storage provides both synchronous and asynchronous n-way file replication to assure data availability: Synchronous replication provides redundancy and protection within a single data center or multiple data centers and availability zones in a region. Asynchronous geo-replication- Red Hat Storage supports Geo-Rep long distance replication. Customers can configure storage server nodes and Red Hat Storage to asynchronously replicate data over vast geographical distances. . Deploy in Minutes The Red Hat Storage S can be deployed in minutes, providing one of the fastest ways to create an on-demand, high-performance, petabyte-scale storage environment. No Application Rewrites Red Hat Storage Appliance provides full support for the semantics of a normal Linux file system like ext4 so there is no need to rewrite applications when moving data to the cloud as with cloud-based object storage. Flexibility Runs in userspace, eliminating the need for complex kernel patches or dependencies. Scalability Elastic volume management enables storage volumes to be abstracted from the hardware so data and hardware can be managed independently. Storage can be added while data continues to be available, with no application interruption. Volumes can grow across machines in the system and can be migrated within the system to rebalance capacity. Storage server nodes can be added on the fly. Simple Management Simple, single command for storage management. It also includes performance monitoring and analysis tools like Top and Profile. Top provides visibility into the workload pattern and Profile provides performance statistics over a user-defined time period for metrics including latency and amount of data read or written. No Metadata Server Rather than using a centralized or distributed metadata server, Red Hat Storage software uses an elastic hashing algorithm to locate data in the storage pool removing this common source of I/O bottlenecks and vulnerability to failure. Data access is fully parallelized and performance scales linearly.