Every year, the amount and type of data companies must manage increases. Commonly called Big Data, this information—everything from social media posts, audio and images to transaction records, sensor data and video—continues growing unabated. According to IDC, data is growing at 40 percent per year and will continue to do so into the next decade.
You’ve got a substantial workload running on aging hardware. Eventually that hardware will reach end of life, and before that time you will need to figure out what to do with the applications running on it. You can migrate the workload to new hardware, or you can forego an on-premises deployment entirely and move the workload to the cloud.
Converged architecture is tied to workload in a way that general-purpose hardware is not. For this reason, organizations need to make sure that the workloads they intend to run on converged architecture will reside on premise for the foreseeable future, rather than being transitioned to the cloud during the next few years.
The rapid growth of IoT devices is quickly becoming too much for many traditional IT infrastructures to handle.
Converged infrastructure is appealing to companies for its ability to (among other things) streamline operations, optimize workloads and cut costs. More and more companies are catching on, and they are increasingly adopting the technology via the hardware–and especially server–refresh cycle.