How Quickride Achieved Seamless Scalability and High Availability on GCP with Brio Technologies
iDisha Info Labs Pvt Ltd has developed India’s largest carpooling/ bike pooling app with the name Quick Ride, which connects the users going in the same direction to reduce the vehicle on the road and make an impact on the environment. iDisha Info Labs is headquartered in Bengaluru, India and has its entire infrastructure on cloud.
Challenges
Solutions
Quickride faced multiple technical and operational challenges during its migration to GCP. The auto-scaling mechanism in GCP differed from Azure, automatically removing unhealthy instances, which made troubleshooting more complex. CPU-based scaling configurations also required adjustments to align with GCP’s capabilities. Additionally, VPN bandwidth limitations on Azure slowed data transfer, impacting migration timelines. Integrating Google Maps API posed another challenge, as IPv4-based configurations used in Azure were incompatible with GCP’s networking, requiring adaptation to IPv6. Furthermore, Quickride opted not to implement a formal disaster recovery plan, increasing the need for alternative high-availability strategies.
To overcome these challenges, Quickride adopted a proactive approach with the support of Brio Technologies. Auto-scaling issues were addressed by implementing robust monitoring and alerting mechanisms, enabling early detection and resolution of potential failures. Custom scaling policies were developed to optimize CPU-based resource allocation, ensuring efficient performance under varying workloads. VPN bandwidth constraints were mitigated by implementing a hybrid data transfer strategy, leveraging both secure public internet access and increased VPN bandwidth where necessary. Google Maps API integration challenges were resolved by transitioning to IPv6, ensuring seamless connectivity with GCP’s infrastructure. In the absence of a dedicated disaster recovery plan, high availability measures were strengthened through multi-node database deployments, automated daily backups, and scalable infrastructure to maintain operational resilience.
Business Impact
By successfully addressing these challenges, Quickride achieved a more resilient, scalable, and cost-effective cloud infrastructure on GCP. The implementation of proactive monitoring improved system reliability and reduced downtime. Optimized scaling policies enabled efficient resource management, ensuring seamless application performance. The hybrid data transfer approach accelerated migration timelines while maintaining security. IPv6 adoption facilitated smooth API integrations, eliminating connectivity issues. Finally, the adoption of high-availability solutions provided robust failover mechanisms, ensuring uninterrupted service even without a formal disaster recovery plan. Overall, the migration positioned Quickride for long-term growth and operational excellence on GCP.
