1. Intentionality Becomes the Defining Trait of Multicloud Strategies
With businesses overseeing an ecosystem that might include data centers, colos, public clouds and edge locations, the IT landscape has become more complex than ever. For many companies, the accumulation of distributed systems has created a messy multicloud environment. Organizations need to rethink their multicloud topology to account for existing and future workloads. Multicloud is the defining infrastructure trend for 2023. And the new topology is a multicloud by design model, which is characterized by placing workloads where they make the most sense for desired outcomes. The days of winging it and flinging workloads around systems are numbered.
2. Edge Computing Emerges as a Central Focus for Leading Businesses
What does computing at the edge look like? Smart. Sensors, actuators and IoT gateways with data analytics capabilities, are becoming more pervasive across enterprises. The proliferation of these devices can’t be dismissed: More than 50% of enterprise data will be created and processed outside the data center or cloud by 2025, according to Gartner. The edge holds vast potential for analytics that generate business insights in real-time, but deriving value from that data often means processing it as close as possible to where it is generated. 52% of IT leaders surveyed by Dell said they were increasing their investments in edge workloads over the next six to 12 months.
3. AI and ML Serve the New Era of Data-Hungry Applications
Companies want to become smarter and run on systems of insight rather than systems of record. This has accelerated the adoption of AI and machine learning across every industry, which Forrester Research and Deloitte predict will become foundational in enterprises in 2023. The edge devices are increasingly incorporating AI/ML capabilities as industries strive to move beyond data persistence—where data resides—to data activation—harnessing information to drive insights.
4. HPC Hits the Mainstream, Extending Beyond Research and Development Departments
For decades industries such as government, healthcare and life sciences have leveraged high-performance computing capabilities, in which supercomputers and computing clusters solve complicated computational problems using sophisticated models that help make predictions. An increasing number of HPC workloads are entering the mainstream. Many employ AI/ML capabilities in addition to traditional simulation and modelling, and HPC provides the horsepower to generate, process and analyze modern workloads.
5. Cloud-native Development Fuels Modern Applications Across the Multicloud Ecosystem
Multicloud comes full circle with cloud-native development. As the IT world moves toward a distributed model, an increasing number of companies are building cloud-native regardless of where they’re currently running. Many are taking using managed or open-source Kubernetes to help them deploy containerized apps at scale. An API-led, composable microservices model allows for repeatability, as well as the ability to swiftly shift development as business priorities change. The ability to pivot quickly is critical, paving the way for innovation.
5. Conclusion
There’s no magic button to press for tackling these trends, but there are questions you can start asking now. Have you designed the multicloud landscape that drives the right outcomes for you? Can you scale, secure, and easily manage multiple edge locations? Do you have the infrastructure you need in the right locations to drive innovation?
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