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Here are five cloud computing predictions for 2018

katherinedaisy on Technology -

Just a few years ago, not many predicted cloud computing would reach the heights we've seen in 2017 - 79 per cent of companies now run workloads in the cloud (split almost evenly between public and private clouds). Who knew?

With the cloud bar constantly being raised, where do we go from here? For a look ahead into future cloud trends, A10 switched on our flux capacitor and revved our DeLorean time machine to 88 miles per hour to see what's ahead in 2018:

True hybrid clouds emerge

Hybrid cloud is all the buzz. The ability for enterprises to have applications run in different infrastructures - public and private clouds and on-premise with common orchestration and management tools - is enticing. Multi-cloud, with different workloads running in different clouds and being managed separately, will become the dominant mode in 2018, while true hybrid clouds will start to emerge. There are already key technology developments and partnerships forming to make this a reality. These mash-ups will create hybrid clouds that truly blend environments and further improve operational agility, efficiency and scale.

Kubernetes dominates container orchestration

The fight for container orchestration dominance has been one of the cloud's main events for roughly the past two years. The three-way battle between Docker Swarm, Kubernetes and Mesos has been fierce. Come 2018, however, Kubernetes is poised to take the container orchestration title belt and also become increasingly mainstream with mission critical, scalable production deployments. Its rich set of contributors, rapid development of capabilities and support across many disparate platforms make it a clear victor.

Analytics get an AI upgrade

AI is everywhere. It's in our homes with Amazon Echo. And in 2018, it'll be embedded more tightly in IT analytics systems making IT proactive versus reactive. Through predictive analytics, IT and application owners will receive actionable information and recommendations. Add to that the ability to automate their response, and the power of AI becomes more relevant. Analytics systems will have insight into the behaviour of the infrastructure, apps and clients.

Serverless computing adoption spreads

One of the benefits of cloud is ease of use for spinning up additional resources and its pay by use consumption model. Nowhere is that more evident than in serverless computing. Previously, the unit for additional compute resource was an instance or VM. Now a "function" has become an even smaller unit of "use." Putting the onus of managing and scaling up resources on demand on the cloud provider is cost-efficient and takes the heavy lifting off of IT. And paying based on a consumption model makes it more gentle on already strained budgets. Currently available in the public cloud, next year will see serverless computing start to appear in private cloud deployments as well. While it won't become mainstream, wider adoption will happen in the short term.

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