The inevitable return to a decentralized computing model. Edge computing a broad architectural concept rather than a specific set of solutions to achieve cloud-quality inference and software delivery outside of the datacenter. Places software-defined services such as elasticity, compute, storage, and database closer to the action where extreme data is being produced; data provider wed to data actor. 


Data is piling up faster than it can be sent back, or low-latency situations, where compute power must sit near data providers. Edge nodes collect data from instrumented operational systems/sensors, process it, and send only the compiled results to the mothership. Organizations can reduce or even eliminate backhaul costs by remitting only analyzed datasets or AI-based findings for opportunities for process improvement, supply chain optimization, predictive analytics, etc.



Unlike the cloud which has clear design patterns, edge is emerging and has few written rules. Reducing (or even eliminating) cloud costs coincide with a well developed edge strategy aligned to the ROI for each use case, and preparing the supporting software supply chain. Technical goals must align to business goals with attribution to why committing to specific edge levels achieves your modernization. 


Return to the Edge and the End of Cloud Computing