If you’re wondering how wide-spread application state can be coordinated throughout such a dynamic landscape, you’d be right to do so. Coordination is needed not just across internal business services, but also across disparate services that may or may not be connected to a common messaging platform up and down the application layer stack.
With many in Hong Kong discussing the importance of Smart City initiatives, how many of them know interconnection is the anonymous hero supporting the increased flow of human traffic and ensuring that government and transport providers can deliver efficient and agile services that can respond to real-time changes or delays?
The digital manufacturing revolution is being powered by advancements such as smart manufacturing, robotics, artificial intelligence, automation and the Internet of Things (IoT). In fact, the World Economic Forum expects manufacturers to invest $267 billion in the IoT by 2020.
To build internetworked software components and gain the controls required for digital business success, organizations must transform their application development to an API- and interconnection-centric approach. Doing this will allow them to fully realize the benefits that digital services can provide for users.
Digital transformation is not just hitting enterprises, it is also impacting the service providers that support them. For network, cloud, SaaS, content and other service providers to best meet the needs of their enterprise customers, they must stay ahead of the digital curve. This means it’s important to access business ecosystems that support a productive digital supply chain, as well as directly and securely connect to customers, to deliver the highest quality of service (QoS).
Data from multiple sources and various associated data services/applications all need to come together in real-time. As a result of orchestration, data policies and service levels can be better defined through automated workflows, provisioning, and change management. Critical data management processes can also be automated, including data creation, cleansing, enrichment and propagation across systems.
We wanted to establish a high-performance NPS-as-a-Service infrastructure solution in the U.S., with the same fast and secure access to NetApp and our cloud partners from which our Australia customer base benefits. At the same time, we wanted to reduce the high cost of storage for ourselves and our customers and increase their QoE.
The forces compelling digital businesses to place more of their data at the edge are real, however, the transition requires careful design. The perception is that moving large datasets out to the edge can create management and accountability problems that would not occur if the data were managed centrally.
Data is increasingly becoming the currency of the global digital economy. And, it is the direct, private data exchange between and among businesses that is driving global economic growth. For enterprises to monetize their data and extract the most value from it, they must re-think their data architectures to find the best ways to aggregate, exchange and manage data at the edge—and at scale.
Everyone agrees these days that the cloud is integral to the future of any digital business that wants to have a future. But is cloud computing peaking? Is a different kind of computing, edge computing, soon to eclipse the cloud in importance?