About the Customer
Insurance Samadhan is a leading InsurTech platform specializing in grievance redressal for rejected, delayed, or fraudulent insurance claims. Pursuing a transparent, digital-first, and scalable service, the company set out to migrate its infrastructure from AWS to Google Cloud, improving scalability, reducing operational costs, and lifting performance.
Business Requirement
Migrate Insurance Samadhan's platform and workloads from AWS to Google Cloud. Three challenges defined success:
Scalability
Handling a growing user base and data volume was becoming difficult and expensive on AWS.
Cost Optimization
AWS spend was not optimized, prompting a move to a more cost-effective platform.
Seamless Migration
The cutover had to be executed with minimal disruption to live services.
Value Delivered
Migrating to Google Cloud translated directly into the outcomes that mattered most, measured against the challenges above.
Reduction in infrastructure costs within the first year, based on a comprehensive cost analysis.
Supports a larger user base with no performance degradation.
Improvement in response times from optimized infrastructure and networking.
Recommended Solution
A phased migration to Google Cloud, built around security, performance, and cost-effectiveness.
Infrastructure Migration
EC2 → Compute Engine with Managed Instance Groups; Amazon EKS → multi-zone GKE; S3 → Cloud Storage via Storage Transfer Service. Databases moved to Compute Engine with MongoDB in primary-secondary replication using a backup-and-restore strategy.
Data Migration Strategy
Strict data-integrity validation at every phase, backup-and-restore for databases, and scheduled backups for reliable recovery.
Security & Compliance
AWS→GCP IAM role mapping, Cloud Armor for DDoS and web protection, Security Command Center (Premium), deletion protection on critical databases, and a Bastion Host with Pritunl VPN for secure remote access.
Performance Optimization
Auto-scaling Compute Engine, Cloud Functions with Cloud Scheduler to start and stop VMs on schedule, and auto-scaling GKE to absorb load spikes without disruption.
Application Integration
AWS → Google Cloud Managed Service for Apache Kafka for managed, highly available event streaming; Elastic Load Balancers → Cloud Load Balancing.
Architecture
Cloud Ambassadors Solution
Cloud Ambassadors executed a phased migration with validation at every step:
Infrastructure Migration
- Built the GCP landing zone: VPC, subnets, firewalls, and Cloud Armor.
- Migrated AWS virtual machines with the Migrate to VM service.
- Stood up GCP Managed Kafka for real-time event streaming.
- Established AWS↔GCP VPN connectivity for secure data transfer.
Data & Database Migration
- Moved S3 data to Cloud Storage via Storage Transfer Service.
- Migrated AWS MongoDB to Compute Engine with primary-secondary replication for high availability.
- Validated data integrity after each migration phase.
Compute & GKE Migration
- Migrated EC2 instances to Compute Engine with replicated configuration.
- Migrated EKS containers to GKE with proper service configuration.
Monitoring & Logging
- Cloud Monitoring with alerts on key performance metrics.
- Grafana and Prometheus configured per client request.
- Cloud Logging for GKE and Cloud SQL, plus Loki and Promtail for centralized logs.
Testing & Optimization
- Verified performance and application functionality post-migration.
- Tested database connectivity and data accessibility from applications.
- Tuned auto-scaling and monitored usage for cost improvements.
Business Outcome
Beyond the headline metrics, the migration produced lasting gains across security, scaling, and cost.
Stronger security posture
Tightly controlled firewalls and customer-managed certificates reduced data-breach risk, backed by GCP's built-in IAM, VPC controls, and encryption.
Elastic, cost-aware scaling
Google Cloud's elastic infrastructure, especially GKE, scales automatically with demand and scales down when idle, improving efficiency and cost.
Further savings ahead
A 1- or 3-year resource reservation was recommended for additional cost savings, making GCP a more cost-effective provider.
Planning a similar migration?
Let's talk about moving your workloads to Google Cloud with the same focus on scale, cost, and resilience.