The second annual study highlights strong Kubernetes adoption and ongoing challenges, as new opportunities emerge around artificial intelligence (AI) and machine learning (ML).
Key findings from the study include:
- Kubernetes growth in AI/ML workloads displaced the 2020 survey's top choice of application build structures with 40% of respondents citing it as the most popular workload. In addition, 88% of organizations agree that in the next two years, Kubernetes will be the platform of choice for running AI/ML workloads. Rounding out the top three most popular Kubernetes workloads were Windows containers (34%) and distributed data services (33%).
- On average, 53% of all an organization's projects are currently in production on Kubernetes. This is an increase from last year's survey which found that 42% of projects were currently in production using Kubernetes.
- 77% of respondents stated that it took six months or less to get their organization's Kubernetes deployments to production. The average time that it took was four and a half months, down a half month from 2020.
Download the full report to learn more!