How Generali Malaysia Optimizes Operations with Amazon EKS

Why It Matters

The move enables Generali to deliver faster, more secure digital insurance services while cutting infrastructure costs, a competitive edge in a rapidly digitizing market. It showcases how large insurers can leverage fully managed Kubernetes to achieve operational excellence at scale.

Key Takeaways

• Generali migrated to AWS EKS Auto Mode since 2019
• Auto Mode automates node scaling, patching, and upgrades
• Integrated GuardDuty, Inspector, Network Firewall boost security
• Cost savings via Savings Plans and Graviton instances
• Grafana dashboards provide per-namespace observability

Pulse Analysis

The insurance sector is undergoing a rapid digital transformation, driven by customer expectations for seamless, omnichannel experiences. Traditional monolithic systems struggle to keep pace, prompting firms like Generali Malaysia to embrace cloud-native architectures. Moving to Amazon EKS offered a unified platform for containerized microservices, enabling rapid feature rollout and consistent performance across regions. By leveraging the AWS Well‑Architected Framework, Generali aligned its infrastructure with industry‑proven best practices, ensuring resilience, security, and sustainability while modernizing its legacy workloads.

Operational excellence became a tangible benefit once Generali enabled EKS Auto Mode. The service abstracts away the complexities of node lifecycle management, automatically handling scaling, OS patching, and add‑on upgrades. This automation freed the DevOps team to focus on application development rather than infrastructure chores, slashing mean‑time‑to‑resolution and improving deployment velocity. Coupled with native security integrations—GuardDuty for threat detection, Inspector for container vulnerability prioritization, Network Firewall for egress filtering, and Secrets Manager via the External Secrets Operator—Generali achieved a unified security posture that meets stringent regulatory requirements without added manual effort.

Cost efficiency and observability rounded out the transformation. By tagging resources and employing EC2 Savings Plans alongside ARM‑based Graviton instances, Generali reduced compute spend by up to 20 percent. Detailed cost allocation allowed business units to track spend per project, fostering accountability. Meanwhile, the integration of CloudWatch with Amazon Managed Grafana delivered granular, per‑namespace dashboards, giving teams real‑time insight into pod health, resource utilization, and performance trends. This comprehensive approach positions Generali to scale further, including plans for AI‑driven underwriting models, and serves as a blueprint for insurers seeking to balance innovation, security, and cost in the cloud.