Edge computing and cloud computing are sometimes discussed as if they\u2019re mutually exclusive approaches to network infrastructure. While they may function in different ways, utilizing one does not preclude the use of the other.\nIndeed, Futurum Research found that, among companies that have deployed edge projects, only 15% intend to separate these efforts from their cloud computing initiatives \u2014 largely for security or compartmentalization reasons.\nSo then, what\u2019s the difference, and how do edge and cloud work together?\nLocation, location, location\nMoving data and processing to the cloud, as opposed to on-premises data centers, has enabled the business to move faster, more efficiently, less expensively \u2014 and in many cases, more securely.\nYet cloud computing is not without challenges, particularly:\n\nUsers will abandon a graphics-heavy website if it doesn\u2019t load quickly. So, imagine the lag for compute-heavy processing associated artificial intelligence or machine learning functions. \nThe strength of network connectivity is crucial for large data sets. As enterprises increasingly generate data, particularly with the adoption of Internet of Things (IoT), traditional cloud connections will be insufficient.\n\nTo make up for the lack of speed and connectivity with cloud, processing for mission-critical applications will need to occur closer to the data source. Maybe that\u2019s a robot on the factory floor, digital signage at a retail store, or an MRI machine in a hospital. That\u2019s edge computing, which reduces the distance the data must travel and thereby boosts the performance and reliability of applications and services.\nOne doesn\u2019t supersede the other\nThat said, the benefits gained by edge computing don\u2019t negate the need for cloud. In many cases, IT will now become a decision-maker in terms of best usage for each. For example, edge might make sense for devices running processing-power-hungry apps such as IoT, artificial intelligence, and machine learning. And cloud will work for apps where time isn\u2019t necessarily of the essence, like inventory or big-data projects.\n\n\u201cBy being able to triage the types of data processing on the edge versus that heading to the cloud, we can keep both systems running smoothly \u2013 keeping our customers and employees safe and happy,\u201d writes Daniel Newman, principal analyst for Futurum Research.\n\nAnd in reality, edge will require cloud. \u201cTo enable digital transformation, you have to build out the edge computing side and connect it with the cloud,\u201d Tony Antoun, senior vice president of edge and digital at GE Digital, told Automation World. \u201cIt\u2019s a journey from the edge to the cloud and back, and the cycle keeps continuing. You need both to enrich and boost the business and take advantage of different points within this virtual lifecycle.\u201d\nEnsuring resiliency of cloud and edge\nBoth edge and cloud computing require careful consideration to the underlying processing power. Connectivity and availability, no matter the application, are always critical measures.\nBut especially for the edge, it will be important to have a resilient architecture. Companies should focus on ensuring security, redundancy, connectivity, and remote management capabilities.\nDiscover how your edge and cloud computing environments can coexist at\u00a0APC.com.