Optimizing Financial Cloud Operations for Mid-Sized Insurer

Client

A prominent Property & Casualty (P&C) insurance provider seeking to optimize and enhance their AWS cloud infrastructure supporting core business applications while ensuring robust security, disaster recovery, and high availability.

Business Challenge

• Infrastructure Maintenance & Optimization Needs: The client required ongoing maintenance, optimization, and enhancement of their AWS infrastructure supporting critical business applications
• Security Posture Enhancement: Needed to strengthen cloud infrastructure security and implement proper network access controls across their VPC environment
• Disaster Recovery Gaps: Lacked comprehensive disaster recovery capabilities with defined RTO/RPO targets and automated recovery processes
• High Availability Requirements: Required resilient infrastructure to support mission-critical applications like Alfresco with multi-region failover capabilities
• Cost Optimization Challenges: Over-provisioned resources including oversized S3 buckets, idle EC2 instances, and unused load balancers were driving up operational costs

Approach

Trianz implemented a comprehensive cloud optimization strategy addressing security, resilience, and cost efficiency:

• Enhanced Security Framework: Implemented robust network access controls within VPC environments and secured cloud infrastructure using AWS security best practices
• Disaster Recovery Implementation: Enabled cross-region replication for S3 analytical layer and configured automated backups for Glue Data Catalog with defined RTO/RPO targets
• High-Availability Architecture: Deployed comprehensive HA-as-a-Service solution providing workload replication from primary AWS region to secured secondary region infrastructure
• Cost Optimization Analysis: Conducted thorough TCO analysis using AWS Pricing Calculator and Migration Evaluator to identify cost-saving opportunities
• Resource Right-Sizing: Analyzed EC2 instances using multiple metrics (OPS RAMP, Compute Optimizer, Densify) to provide downsizing and termination recommendations
• Data Lifecycle Management: Configured S3 lifecycle rules to automatically delete unused data based on updated retention periods
• Cloud-Native Monitoring: Implemented comprehensive monitoring solutions and automation capabilities
• Supply Chain Integration: Leveraged built-in AWS Supply Chain demand planning models for enhanced demand forecasting

Transformational Effects

• 30% Reduction in Storage Costs: Through S3 lifecycle management and automated deletion of unused data based on retention policies
• 25% Compute Cost Savings: Eliminated over-provisioned EC2 instances and terminated idle resources using multi-metric analysis
• 99.9% High Availability Achievement: Multi-region workload replication ensured business continuity with automated failover capabilities
• 50% Faster Disaster Recovery: Cross-region replication and automated backups reduced RTO/RPO targets significantly
• Enhanced Security Compliance: Comprehensive VPC network controls and IAM policies strengthened overall security posture
• Automated Monitoring & Alerting: Cloud-native solutions reduced manual intervention and improved incident response times