Toronto, Ontario – February 28, 2019 – Densify, the leader in the Cloud Resource Management software market, today announced the findings of its global enterprise cloud survey of IT professionals. 80% of respondents have actively deployed containers or will do so in the near future. As public cloud is the preferred option for container deployment, Google is the clear winner in this adoption and growing at 117% year over year, a much faster rate than that of AWS and Azure. As proper cloud resource provisioning is extremely complex when deploying container environments, the survey shows an acceleration of wasted cloud spend.
The data reveals that organizations are adopting public cloud and containers very aggressively. While application uptime and performance risk and cost efficiency are their primary concerns, respondents admit to not understanding the impact of public cloud technologies and features. Unfortunately, the data also reveals that organizations continue to pay, and take risks with new technologies such as containers, without fully understanding the impact. For instance, it is impossible to manually limit application downtime risk and drive cost efficiencies.
“We are seeing approximately 40% of companies across all industries overspending on cloud services to the tune of millions of dollars a month,” said Gerry Smith, CEO, Densify. “That’s staggering. And while containers are a tremendous means of developing and deploying applications, companies must properly provision cloud resources to meet application needs. If not, their costs can skyrocket.”
Survey findings include:
Densify is the developer of Cloe, the most advanced, patented cloud and container resource management platform. Densify cloud optimization and management capabilities give some of the world’s largest organizations the ability to automate cloud and container workload management, improve application performance, and proactively select cloud resources in the most financially-prudent way. With Densify, CloudOps teams are able to ensure that applications continuously get the optimal resources they need, at the lowest possible spend.