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2025 State of Production Kubernetes: AI Driving Growth as Cost ...
### Cost is top pain — but AI is the fix Cost overtook skills and security as the #1 challenge (42%), with 88% reporting a year-on-year rise in total Kubernetes TCO, and growth expected over the next 12 months. Yet 92% say they are investing in AI-powered optimization tools to bring bills back under control. … ... Over half say their clusters are still "snowflakes" with highly manual operations. Teams that centralize application deployment in a platform-engineering function outperform every other group on key DevOps metrics around reliability and speed.
Related Pain Points2件
Massive cluster resource overprovisioning and wasted spending
699.94% of Kubernetes clusters are over-provisioned with CPU utilization at ~10% and memory at ~23%, meaning nearly three-quarters of allocated cloud spend sits idle. More than 65% of workloads run under half their requested resources, and 82% are overprovisioned.
Developer productivity blocked by manual cluster provisioning
6Developers lack Kubernetes expertise and want to consume infrastructure without delays, but provisioning new clusters is time-consuming and expensive. This creates bottlenecks where developers wait for ops to provision infrastructure rather than focusing on feature development.