42% of respondents exclusively rely on third-party cloud providers’ hardware built to build AI/ML models, but only 12% will do so three years from now. Instead, a majority will use a combination of both on-premises and public cloud. Many companies may have gone first to cloud providers because they wanted to quickly launch AI/ML activities. These same companies may migrate to on-premises environments for specialized workloads to reduce costs as they scale-up into production or use proprietary data.
Infosec pros were often not consulted before container adoption occurred. Furthermore, over 40 percent of companies have delayed or limited container adoption because of security concerns.
Kubernetes is increasingly the first choice among container users, with Datadog reporting its use increasing from 22.5 percent in October 2017 to 32.5 percent in October 2018.
Experience with FaaS predicts whether or not someone prefers functions. In fact, 63 percent of those with broad production FaaS implementations would standardize on functions.
For serverless monitoring, we found that cloud provider’s own tools were commonly used to monitor apps, with Amazon CloudWatch used by 88% of respondents with live AWS Lambda implementations.
The leading hosted platforms are the big three cloud providers’ FaaS offerings. AWS Lambda has twice as many users as Azure Functions and more than three times as many as Google Cloud Functions.
“Hybrid cloud” has already reached its peak in the hype cycle, with “multicloud” being a more popular term these days. A RightScale survey in February showed that Hybrid Cloud was dropped from 58 percent to 51 percent as the dominant strategy. In a different survey from Virtustream, 86 percent said they are using a multicloud strategy.