Survey: Few It Teams Can Continuously Optimize Kubernetes Clusters
Cloud Native Now, Tuesday, April 7th, 2026
A survey of 321 Kubernetes practitioners at organizations with more than 1,000 employees published today finds that while 89% recognize that automation is crucial, only 17% are able to continuously optimize the infrastructure their clusters have been deployed on.
Conducted by CloudBolt Software, a provider of a platform for optimizing the management of IT platforms, the survey finds 59% of the IT professionals working in larger enterprise IT environments are able to deploy to production automatically. However, 71% require human review before applying any type of resource optimization.
CloudBolt COO Yasmin Rajabi said the survey suggests that many IT teams are still hesitant to fully optimize allocation of processor and memory resources, mainly because of past experiences with manual processes. However, as the size and number of Kubernetes clusters that need to be managed continues to increase, more IT teams will need to rely on automation, she added. In fact, two-thirds of respondents (69%) report that existing manual optimization of cluster infrastructure breaks down some time before approximately 250 changes per day.