Companies today are competing in an application-centric world. And in order to provide differentiated experiences to their customers, they’re working hard to ensure they’re accelerating their digital transformations to accommodate for today and plan for tomorrow—whether that’s with a multiplayer game that extends across the globe or a smart manufacturing arm that’s helping to build automobiles. Companies like these want to take advantage of the cloud for cost and scalability, but their workloads often need to be as close to the end user or point of data creation as possible—which often requires a hybrid cloud approach.
CLOUD ANYWHERE USE CASES
In these scenarios, companies can have operations that require near real-time access and delivery of data; sometimes they need to process large data sets that aren’t easy or cost effective to move to the cloud; or they might be required to follow contractual or information security regulations. Low latency, local data processing, and data residency use cases often result in companies wanting to mix cloud with on-premises data centers and edge locations—whether that’s on-site at a healthcare clinic, a 5G cell tower, or even a disconnected environment. For example, a financial institution might want to deliver digital banking services, such as mobile payments, all while continuing to keep customer data secure and local. Or an interactive, live video-streaming service might need to take advantage of services at the edge of a 5G network to achieve ultra-low latency so that they can livestream high-resolution video and high-fidelity audio, in addition to embedding interactive experiences into live video streams.
PROVIDING HIGH RESPONSIVENESS WHEREVER ITS NEEDED
Let’s begin with low latency, in which two general trends are appearing. The first is around current and emerging applications that need to be as close to the data creation or consumption as possible, like video streaming, augmented reality/virtual reality (AR/VR) apps, multiplayer games, telecom companies, and even business applications like manufacturing execution systems (MES), high-frequency trading, and medical diagnostics. For example, Riot Games was able to reduce Valorant’s (a competitive multiplayer game) latency by 5–10 milliseconds for players in strategic regions with AWS Outposts, which provided an enhanced end-user experience to its customers. Riot Games was able to rapidly move production workloads to Outposts with no changes in its server application because Outposts uses the same AWS infrastructure, services (including Intel®-powered compute), APIs, and tools as AWS Regions.
The second trend is around cloud migration efforts for organizations that are modernizing their infrastructure and operations and have legacy applications, which need near real-time responsiveness. For instance, Mindbody (a leading technology platform for the fitness, wellness, and beauty industries) migrated its complex legacy on-premises applications to AWS Local Zones without an expensive revamp of its architecture. This has allowed it to provide a seamless experience for its end users by providing single-digit millisecond latency while continuing to accelerate its digital transformation to the cloud.
DATA PROCESSING: FROM ON PREMISES TO THE EDGE
New and emerging applications—along with digital transformation journeys—are generating colossal amounts (think petabytes) of data. But because of cost, time, or sheer size constraints, it’s not always realistic to send all of this data to the cloud. In manufacturing, for example, large data sets are often produced that need to be processed and managed locally. Transmitting
these large data sets to the cloud is cost prohibitive or, in low-bandwidth situations, results in loss of fidelity. With Outposts, manufacturing companies can easily process and manage data locally while taking advantage of the cloud for additional data analysis or long-term archival.
ADDRESSING LOCAL DATA REGULATIONS AND REQUIREMENTS
In some cases, businesses need to keep data in a specific location to comply with government regulations, information security requirements, or even geopolitical dynamics. This is often the case with highly regulated industries like financial services, iGaming, and healthcare. Businesses across these industries, however, can easily accelerate their productivity, even if they have data residency requirements. First Abu Dhabi Bank, for example, can keep its customer data secure and situated in the UAE with Outposts while it continues to deliver cloud banking services, including e-wallet and mobile payments, to its customers. By using AWS on premises and in the cloud, it can use the same hardware, services, and tools to develop applications and operate IT infrastructure across cloud, on premises, and edge locations—allowing it to be nimble and quickly adapt to market changes.
REINVENTING HYBRID CLOUD
AWS is reinventing hybrid cloud with offerings that bring AWS services to wherever they’re needed—from the edge of the 5G network, through your data center, or to your office. As we move into the future of highly connected devices, vehicles, and cities, organizations across the board are adopting hybrid cloud based on their needs.
AWS hybrid solutions offer a seamless extension to the same AWS infrastructure, services, Intel® Xeon®–powered compute, APIs, and tools—providing a truly consistent hybrid architecture—so you can focus on developing the best user experience for your customers. Find out more at our Reinventing Hybrid page.
AWS hybrid solutions seamlessly extend the same AWS infrastructure, compute, services, and tools in the cloud, on premises, and at edge locations. Intel® processors provide the foundation for many hybrid cloud computing services deployed on AWS. Amazon Elastic Compute Cloud (Amazon EC2) instances powered by Intel® Xeon® Scalable processors have the largest breadth, global reach, and availability of compute instances across AWS geographies. AWS and Intel’s 15-year relationship is continuously dedicated to developing, building, and supporting services that are designed to manage cost and complexity, accelerate business outcomes, and scale to meet current and future computing requirements.