Push to build resiliency cause steep rise in hybrid, multi-cloud build

Hybrid and multi-cloud architectures have become the de-facto standard among organisations, with more than half (53%) embracing them as the most popular form of deployment, according to a survey by Denodo of over 250 business executives and IT professionals worldwide.

Conducted in February 2020, Denodo’s third annual cloud usage survey revealed that hybrid cloud configurations are the centre of all cloud deployments at 42%, followed by public (18%) and private clouds (17%). 

The advantages of hybrid cloud configurations according to respondents include the ability to diversify spend and skills, build resiliency, and cherry-pick features and capabilities depending on each cloud service provider’s particular strengths, all while avoiding the dreaded vendor lock-in.

The use of relatively new container technologies increased by 50% year-over-year indicating a growing trend to use it for scalability and portability to the cloud. DevOps professionals continue to look to containerisation for production, because it enables reproducibility and the ability to automate deployments.

A foundational metric for demonstrating cloud adoption maturity, more than three quarters (78%) of all respondents are running some kind of a workload in the cloud. Over the past year, there has been a positive reinforcement of cloud adoption with at least a 10% increase across beginners, intermediate, and advanced adopters.

About 90 percent of those embracing cloud are selecting Amazon Web Services (AWS) and Microsoft Azure as their service providers, demonstrating the continued dominance of these front-runners. But users are not just lifting their on-premises applications and shifting them to either of or both of these clouds; more than a third (35 percent) said they would re-architect their applications for the best-fit cloud architecture.

For the most popular cloud initiative, analytics and BI came out at the top with two out of three (66%) participants claiming to use it for big data analytics projects. This use case was followed closely by both logical data warehouse (42%) and data science (41%) in the cloud.