Every big idea a business has requires an ample amount of work and investment to make it real. For example, a grocery store may want to modernize by moving from old plastic price tags to fully digital ones. But to accomplish this, the store needs a technical environment that enables them to prototype, test, stage and deploy their new digital tags. All too often, that work happens inside different IT environments. When completed and used, the new price tag system might not work correctly if the prototype environment isn’t the same as the real-world operating environment.
New application incompatibility and unplanned consequences going from prototype to production can become costly. There’s also a growing need for developers to work with IT operations to reduce the chances of a new app failing as it is scaled or during security lifecycles. When engaging in complex enterprise-grade IoT projects, a balanced approach to both business prototyping and the ability to deploy those projects, securely and at scale, is critical, according to Satyam Vaghani, SVP/GM of IoT and AI for Nutanix. It enables developers to deliver edge computing in industrial environments then successfully administer applications.
Vaghani said businesses tend to get caught up in focusing on the early phase of prototyping new technology projects instead of how they will get deployed in environments in which they will operate. That can often lead to trouble.
“People get stuck on the cool, interesting parts of data science,” Vaghani said.
He said companies often tinker on new edge applications in a test environment until things are just right. Then, when they move that application into the production environment, things can get dicey.
“Doing it at industrial-scale is a different monster,” said Vaghani. “We see many IoT projects where people focus more on the prototyping of business logic,” he said. “While that is important, eventually you need to deploy that application across a hundred different factories, which can be challenging.”