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Performance Tuning Capability
Big Data solutions using Hadoop consist of an ensemble of tools which require precise tuning and configuration for optimum efficiency and maximum performance. For example, a Hadoop based database utilizes HBase - a real-time database which can use compression to minimize network overhead – which requires specific tuning to extract the full potential. AMAX understands your application and tunes each turnkey cluster so that guesswork is taken out of the equation.
Open Architecture
As a part of our commitment to an open architecture design philosophy, AMAX PHAT-Data does not include any proprietary components. The entire solution offers 100% compatibility with Java based MapReduce applications and support heterogeneous environments and open standards right out of the box.
High Availability
The Hadoop NameNode can become single point of failure if the cluster is not configured for high availability. The AMAX PHAT-Data includes 2 name nodes configured with DRBD/Heartbeat or RSF-1 in master-slave configuration with a dedicated heartbeat network to address this issue. The auxiliary NameNode automatically takes over in case of a failure. Our solution promises no downtime and absence of a single point of failure. The MapReduce engine offers automatic job recovery without the need to restart in case of JobTracker/TaskTracker failure.
Ready for Production Environment
Each and every component selected in the PHAT-Data cluster solution passes through AMAX’s stringent 5 stage quality test which includes individual component tests as well as a complete system integration test. Our ISO 9001 certified manufacturing facility and 3 decades of engineering expertise promises utmost care at every level irrespective of the volume.
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