Spinning up a Kubernetes cluster is relatively easy for an experienced Cloud engineer. Making Kubernetes production-ready, including integrating with data storage, setting up operational tools, automating the deployment pipeline and ensuring security, is much more complex than most teams think at the beginning. Many organizations start using Kubernetes without realizing that the complexity and skills required to be successful increase exponentially as the number of applications increase.
Inevitably, engineers end up learning about Kubernetes as they work. This can lead to:
With Otomi Container Platform, teams have guardrails in place so that even if they don’t know the best practices, they will be forced to follow them.
The curated, opinionated stack means teams don’t have many opportunities to choose ‘wrong,’ even if this is their first time using Kubernetes.
Not only does this make Kubernetes adoption much faster, it dramatically reduces the impact of any skills gap on either development speed or risk.