Case Study: SulAmérica Seguros achieves 70% ticket reduction and low application response times with IBM Turbonomic

IBM Turbonomic automation optimizes application response times as dynamic demand fluctuates

SulAmérica Seguros, Brazil’s largest independent insurer with more than seven million customers, faced the challenge of operating Kubernetes at scale for 57 mission‑critical applications (about 7,000 containers/~3,000 pods) across a hybrid mix of OpenShift, GKE and EKS. Relying on dashboards and manual APM-driven troubleshooting left the NOC & Web team reacting to performance issues and struggling with resiliency after incidents like a bare‑metal node failure, so they sought an automated approach and turned to IBM’s Turbonomic solution.

IBM implemented Turbonomic’s hybrid cloud cost optimization and automated continuous pod placement in production plus intelligent container rightsizing in dev, and integrated it with APM to maintain low response times during spikes. The automation cut ticket volume by 70% and improved node density by 11%, kept apps like the Saude and travel‑insurance services responsive during peak demand, and freed the team to focus on strategic initiatives such as a Global Load Service and active‑active DR—demonstrating measurable operational and customer‑experience gains from IBM Turbonomic.

SulAmérica Seguros