Cloud computing is all about accelerating innovation and lowering barriers to entry. Successful companies are leveraging the cloud to leverage the power of software to enable new business models across a wide variety of industries, from real-time inventory for retailers to mobile banking and fraud detection for financial services companies.
As more and more companies become software-centric businesses, they are adopting cloud-native strategies designed to deliver the innovative realtime experiences that today’s online customers demand. Increasingly, those businesses realize that to get the full benefit from a cloud-native initiative, it must include hybrid cloud and multi-cloud approaches that can offer access to the latest technologies, help control costs, and avoid vendor lock in.
Not surprisingly, this massive infrastructure shift to the cloud is also driving big changes at the application layer. Applications are increasingly moving from monolithic architectures to highly distributed microservices architectures to make software releases faster and make operations more nimble. Applications have also been distributed around the globe in order to serve local customers fast and reliable experiences. And as AI, IoT, and machine learning use cases become increasingly important, companies must deal with exponentially larger data sets. These developments are putting a ton of pressure on the data layer, which must stretch to meet the new requirements of the modern cloud-native world.
Redis Enterprise is perfectly suited to power the modern cloud-native data layer. As the foundation of a primary data platform, Redis Enterprises’ in-memory database delivers instant experiences in a highly reliable and scalable manner while unifying any combination of clouds, geographies, and on-premises data centers.