The IoT is changing everything. From homes to hospitals, from cars to, yes, your business, the IoT is changing the way we interact, the way businesses operate and the amount of data organizations have to process.
In fact, the data loads many companies are dealing with are already overwhelming traditional infrastructure and IT budgets. The size and complexity of IoT data has helped supercharge the development and adoption of the cloud as a way to handle all this information efficiently.
We all know, though, that the traditional public cloud can have some drawbacks, including performance lags due to the size of workloads or the distance to the data center, where information is housed. With the Internet of Things, less than ideal performance isn’t just inconvenient, it can be disastrous.
What can your enterprise do to make sure it makes the best use of the IoT and all its data, while avoiding these performance pitfalls? One major consideration has to be moving data, processing and storage as close to the user as possible – to the edge. Edge computing has been a popular buzzword for some time, but its importance has grown with the rise of the IoT.
Moving to the edge prevents the crush of device-driven data from overwhelming centralized resources and network trunks, ensuring that your organization gets the high performance and lightning-fast analytics your customers expect. This enables your business to operate efficiently, with instant access to your important data, apps and processing.
The edge, while powerful, has some critical requirements that businesses have to be aware of and ready to deal with. Our latest SlideShare, “What the enterprise needs to know about the new data edge,” details what every organization has to know to make the best use of the edge. From where and how to store “hot” and “cold” data, to what the architecture looks like and the solutions out there to help, this presentation gives will get you started on the road to the edge.