A VALUED CUSTOMER OF THIRDEYE DATA
Child Rescue Coalition: modernising the platform behind the work
Nimble Storage, acquired by Hewlett Packard Enterprise, operates InfoSight, a cloud-based predictive analytics service that watches flash storage deployed in server farms around the world and warns customers about failures before they happen. The value of a service like that rests entirely on how early the warning arrives, which means it rests on how much sensor data the platform can take in and how fast it can reason over it.
LOCATION
Boca Raton, Florida, United States
COMPANY SIZE
Small-scale Enterprise
INDUSTRY
Government and Public Sector
Data platform modernization
The organisation had reached the point where the platform it had built to get started was limiting what it could do next. It wanted to modernise the architecture, move onto current technology, and update processes that had grown up around the older system rather than been designed for it.
ThirdEye Data began with an exhaustive evaluation rather than a rebuild proposal. That produced a set of proof of concept exercises that tested the specific questions the modernisation turned on, rather than accepting the answers on faith: how data would move, be stored, analysed and reported on in a cloud environment; how access, registration and search would work for the organisations that use the platform; and how stream based processing would handle data arriving continuously rather than in batches.
Those exercises settled the architecture. From there we built the complete platform on a microservices design, which was the right choice for an organisation that needs to change one part of the system without taking the rest of it down.
The sequencing was the point. A modernisation programme that commits to an architecture before testing it usually discovers the problem halfway through the build, when changing course is most expensive. Proving the hard parts first cost a few weeks and removed the risk that mattered.
A complete platform rebuilt on a microservices architecture, with the architectural decisions proven before the build began.
Related solution: modernising platforms that cannot be taken offline
Replacing a platform that an organisation depends on daily is a different exercise from building one from scratch. There is no clean start, no period where nothing matters, and usually no appetite for a long freeze while the new system is built. The organisations that need it most are often the ones least able to tolerate disruption.
ThirdEye Data approaches these engagements by separating the decisions from the build. An evaluation phase establishes what the current system actually does, including the parts nobody documented, and a set of focused proof of concept exercises test the architectural choices that carry the most risk. Only then does building start. We have done this for a nonprofit supporting law enforcement, for a software company whose customers were live on the platform throughout, and for enterprises migrating established data warehouses. The pattern holds regardless of size.
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