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Customer Success Story
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.
This agentic model transformed the end-to-end workflow from a linear, human-dependent process into a self-optimizing system capable of executing tasks autonomously while maintaining full regulatory compliance and traceability.
Technology Components
Cloud Services
Amazon Aurora PostgreSQL
Amazon S3 (Cross-Region Replication)
Amazon RDS PostgreSQL
Amazon Aurora Database
AWS Glue Data Catalog
Amazon VPC
AWS IAM
Amazon CloudWatch
AWS Cost Explorer
AWS Trusted Advisor
Elastic Load Balancers
AWS Pricing Calculator
Migration Evaluator
Compute Optimizer
Application Stack
Python
Java
Node.js
CloudFormation
Infrastructure Tools
OPS RAMP
Densify
Transformational Effects
30%
Reduction in Storage Costs
25%
Compute Cost Savings
99.9%
High Availability
50%
Faster Disaster Recovery
- 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
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