The number of internet-connected devices is projected to grow to nearly 20.1 billion by 2020, impacting just about every person, home and place of business. As these new devices become networked, the increasing requirements for data collection and storage will pose significant challenges for enterprises as the growing demand for bandwidth takes a huge toll on legacy network infrastructure.
A digitally transformed enterprise requires immediate responsetimes and exceptionally low latency –qualities that legacy networks simply will not be able to provide forever. Organizations will soon no longer be able to rely on environments that are saturated with bandwidth competition –from social media, content streaming, gaming and other malicious web traffic –to perform day-to-day business operations and functions. The convergence of this traffic is making the internet an unreliable, inefficient storage mechanism for businesses, leading to network congestion like we’ve never seen before. Organizations must prepare for a huge shift in the way that they think about IT infrastructure. That’s where edge computing comes in.
Enterprises are increasingly looking to edge computing to help alleviate data-related growingpains, by employing micro, cloud-enabled data centers at the edge of the network to support data gathering and storage. These micro data centers are critical, and edge-curious businesses should understand that the key to success is being able to deliver communications and data back and forth between their core data centers and micro edge data centers, fully utilizing both infrastructure types. Businesses are now collecting and storing massive amounts of IoT and AI-related data in edge micro centers, which drives the need for related analytics. Analytics-enabled processes such as business reports, PNL procedures and payment functions all need to be performed at the edge, but then delivered back to a big data environment –such as hyper-scalers and core data centers –for storage.
Businesses need to perform analytics at the edge to support the need for real-time decisions based on rapidly-incoming customer data. By localizing the data repository near business locations, companies are ensuring data can be cleaned, analyzed and put into action as soon as possible. Sending it back to the core data center for storage provides protection and long-term archiving capabilities. By putting small amounts of compute at the edge and executing the necessary analytics closeto your business locations, and then transferring insights back to your core environment, you’ll end up saving hundreds of thousands of dollars in the long run.
Flexential will focus this talk on the importance of and need for edge-to-core (and vice versa) data deliverance, and the sensibility in investing in third-party solutions that deliver reliable, low-latency and high-capacity network communications to achieve this. Attendees will learn how their organizations can provide the flexibility and tools necessary to adjust capacity and integrate technologies, seamlessly delivering invaluable business insights from the edge to the core and back again.