| Capacity management paramount | |
| “Within a converged system, the big data generated and the required data analytics that goes with it, means capacity management of storage devices is now paramount. Tiered storage to handle the different types of data is required, high performance flash storage for data analytics and slower cheaper SATA drives for archival data” | 
Ergo Gavin Lockhart, solutions architect |
| The Internet of Things (IoT) generates huge quantities of data from disparate systems into potentially multiple entry points. Given the huge volume of data and the probability of data being generated from diverse global locations, the traditional trend to centralise applications to reduce costs and complexity of security become incompatible with the IoT and the big data it generates. Initial data analytics needs to be performed on ‘Fog Nodes’ in smaller data centres and then forwarded onto a central data centre for final processing.
Software defined storage within hyperconverged systems are an emerging trend that, can, in part, be attributed to the data analytics and IoT phenomenon. The inherent compression, deduplication and replication technologies within these systems lend themselves very well to the geographic nature of data collection and the requirement of Fog Nodes. Within a converged system, the big data generated and the required data analytics that goes with it, means capacity management of storage devices is now paramount. Tiered storage to handle the different types of data is required, high performance flash storage for data analytics and slower cheaper SATA drives for archival data. A number of vendors are providing call home support where they are analysing logs and diagnostic data streams generated from the on-premises storage array, thereby ensuring a more proactive and effective support platform whilst simultaneously getting in on the big data analytics game themselves, gaining valuable insights and knowledge of how their products are being used. This in turn allows the vendors to make informed decisions on feature development, improved support and more strategic sales and marketing campaigns. In conclusion, the fact that the storage vendors are actively using data analytics themselves on customer equipment, the future of storage solutions to meet the requirements of modern data usage and footprint is constantly under review and evolving. |
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