Infographic: 2016 Trends in Cloud Adoption

Though mobiles, analytics, social media, etc. have been budding in the digital world, cloud technologies and models have earned a special spot as one of the core enhancers of the digital age. Organizations from even the most conventional and change-resistant avenues are seeing the writing on the wall: Cloud technology strategies cut risk and expenses. And while the cloud market has developed over the years, its intercommunication with the fast-growing analytics and data outlook proposes that there are several more enhancing opportunities for cloud in 2016.

One foot on the cloud and one foot on the ground. When it boils down to a technology roadmap, the “playing safe” stigma is lost and is now candidly accepted as the right path for most organizations. In a research focused on infrastructure-as-a-service conducted by RightScale, it was drawn that hybrid cloud adoption has been ramping up as both cloud providers and cloud users have been blooming. As 2016 gets underway, let’s look at the top 2016 trends in Cloud Application:

  • Internet of Things

The Internet of Things gyrates around amplified machine-to-machine communication. Built on networks and cloud computing of data-assemblage sensors; it’s virtual, mobile, and connected rapidly. Everything from streetlights to the seaports is going to be made “smart”.

  • Big Data

With a plethora of possibilities, Big Data describes an integrated information management strategy that includes and blends many new types of data and data management alongside traditional data. More data leads to accurate results and ultimately lands operational efficiencies. 

  • BYOD

BYOD spurs company employees to work on the device they choose. It has evolved to empower workforces through the consumerization of IT. It enables the IT to target its resources on the delivery of new and more efficient services that accelerate the business.

  • Machine Learning

Machine learning is a method of data analysis that automates analytical model building. Cloud computing has democratized access to machine learning capabilities by appending infinite processing power and predefined ML models in the cloud to generate value and support to new business models.

  • Serverless

Simply put – Computing resources get used as services without having to manage around physical capacities or limits. AWS Lambda is extremely powerful (event driven invocation of arbitrary code). As capabilities increase, backends for web servers using API Gateway fronting Lambda will increase dramatically. Goal? Surge in productivity and reduced costs.

  • Hybrid Cloud

“If you’re not all cloud you’re doing wrong”, is passé. Hybrid cloud employs the environment which uses a mix of on-premises, private cloud and third-party, public cloud services with orchestration between the two platforms.

Trends in Cloud Application

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Murali Dodda is a Cloud Technology Specialist with over 15 years of experience. He graduated from the prestigious IIT Madras. Murali provides 'technology and business leadership' to startups and has overseen successful exits for several of them. He is currently leading a team of technologists at Bitmin, a hot new startup delivering cloud services. Murali uses his weekends to catch up on the latest developments in technology innovation, product development, and entrepreneurship domains. Being an enthusiastic blogger, he shares exciting developments & his experiences with designing & deploying cloud strategies through his blog. If you want an inside view of cloud deployment for real-world clients, follow this blog.

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