Running SingleStore on Kubernetes in Production: An Operations Guide for Stateful Workloads

As organizations increasingly standardize on Kubernetes, there is a shift in expectations for databases to behave like cloud-native services, requiring declarative deployment, seamless upgrades, and operational consistency. Running distributed databases on Kubernetes presents unique challenges compared to stateless services, with critical decisions about architecture, storage, and node sizing influencing long-term stability. The SingleStore Kubernetes Operator supports these needs by encoding operational patterns and aligning Kubernetes primitives with the demands of distributed databases, but informed design decisions remain essential. Production readiness involves rigorous validation, including simulating failure scenarios, testing upgrade workflows, and establishing monitoring baselines to ensure reliability under change. Teams can choose between self-managed operations on Kubernetes for full control or SingleStore Helios for a managed experience that reduces operational overhead, emphasizing that successful deployments depend on consistent operations over time rather than just initial deployment capabilities.