Case Study: Cresta reduces observability costs by 80% with groundcover

Cresta reduces observability costs by 80% by migrating to groundcover

Cresta, a leading contact center AI platform, was struggling with the prohibitive costs and scaling limitations of their previous observability solution in their Kubernetes environment. Their vendor's pricing model penalized them for standard cloud practices like using spot instances and autoscaling, which inflated their expenses and hindered growth.

By implementing groundcover's Kubernetes-native, eBPF-powered observability platform, Cresta gained a complete view of their systems with unprecedented flexibility for querying logs, metrics, and traces. This switch resulted in an 80% reduction in annual observability costs, empowered engineers with deeper insights for faster debugging, and provided a robust foundation for scaling their complex workloads without the previous financial anxiety.

Cresta

Michael Parker

Software Engineer