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DevOps Transformation for Cloud-Native Insurance Platform

trigent.com

Insurance

Information technology

Current Challenges in Deployment and Scalability

The client's complex cloud-native platform with multiple microservices and manual deployment processes resulted in excessive deployment times, limited scalability, and operational inefficiencies. The need to support 37+ tenants with customized configurations and data isolation requirements further complicated market readiness and expansion plans.

About the Client

Cloud-native core platform for insurance enabling rapid product development and modernization of legacy systems for global insurers

Strategic Objectives for DevOps Enhancement

Implement automated CI/CD pipelines to accelerate feature delivery
Reduce deployment time by 95% through DevOps optimization
Establish scalable tenant management capabilities
Improve customer satisfaction through faster time-to-market
Support 3x user base growth with robust infrastructure

Core System Requirements

Continuous Integration/Continuous Delivery (CI/CD) pipelines using Jenkins
Automated testing framework covering 200+ test cases
Containerized deployment with Docker and AWS EKS clusters
Tenant-specific configuration management system
Real-time monitoring with Grafana and Pingdom integration

Technology Stack Requirements

Jenkins

AWS (EC2, EKS, ECR)

Docker

Jira

Grafana

DynamoDB

Argo CD

System Integration Needs

AWS cloud infrastructure services
Docker container registry (ECR)
Jira for project management
Pingdom monitoring integration
Gitflow version control workflow

Operational Requirements

99.99% system availability
Support for 10x platform traffic growth
Automated environment provisioning
Real-time infrastructure monitoring
Fault-tolerant deployment architecture

Anticipated Business Impact

Expected 95% reduction in deployment time, 71% revenue growth, and 28% improvement in customer satisfaction through accelerated feature delivery, 3x user base expansion, and 10x increase in platform traffic capacity while maintaining enterprise-grade scalability and reliability.