Cloud computing was really born just over ten years ago. Now, after a few stumbles and early course corrections, the pace of innovation is accelerating dramatically.
Enterprises’ increasing reliance on the cloud to deliver the simplicity and efficiency their customers and partners demand now means that data protection and availability are pivotal concerns. Any firm can have the best, AI-based customer intelligence platform in the world, but if it’s not available for days, the value is lost.
But as the cloud computing landscape continues to evolve, no-one really knows for sure what the future holds. However, here is what we think the four key themes for the cloud in 2018 will be:
No single cloud platform is perfect for every workload, so the tools and platforms for managing across them will continue to mature in order to drive seamless integration across clouds. It’s no longer a question of “if” an organisation will move some or all of its assets to the cloud, but “when” and “how”.
There is a plethora of ways in which companies can leverage cloud platforms and it’s now become a matter of “which ones should I leverage?” Solving the move to the cloud increasingly requires a multi-cloud approach and a corresponding portfolio of management and operational tools. Software providers now fully understand this and will continue to improve their offerings to make seamless integration across the cloud landscape a reality.
Enterprises of all sizes and ISVs (independent software vendors) will hone their ability to define and deliver applications/solutions that are conceived and architected to take advantage of cloud platforms.
The cost, scale and efficiency benefits of cloud-native applications are now too compelling to ignore, and with swift advances in essential technologies like micro services and supporting development tools, cloud-native applications will accelerate into the mainstream.
The likes of Azure Cosmos, Google Cloud Spanner and services from AWS will enable hyper-scale, highly distributed and mission-critical applications to become reality; they will also further increase the appetite for infusing data and analytics into every application delivered in the cloud. Compelling characteristics such as low-latency, scale out and geo-distribution will provide the type of horsepower IOT and numerous other global-scale applications require.
While we aren’t quite at the level of HAL from 2001: A Space Odyssey, technologies like Alexa, Cortana and Siri are demonstrating the power and potential impact of AI in everyday life. For businesses, the capabilities of machine learning, powered by petabytes of data and insanely fast computing resources, will impact consumer experiences, biotech research, financial modelling and myriad other applications.
So, what does this all mean for us? Customers and users the world over won’t care what your problems are; they simply expect the information and ability to transact to be there when they want it, and it’s frighteningly easy to move from you to your competitor if you don’t offer it.
We haven’t even scratched the surface of what will change cloud computing. AI and machine learning are already weighing in on marketing and sales by synthesising Big Data and analytics. Soon it will be responsible for hopping spontaneously between clouds to ensure the continued delivery of your data or service.
But availability is about much more than consumers and e-commerce. Far-flung colleagues, increased automation and, when combined, the new flexibility they enable will further change the world we work and live in. We already expect our work assets and services to be Always-On.
Availability isn’t a choice, it’s a base requirement and the time for it is now.
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