- Is Southeast Asia’s largest bedbank provider in B2B market segments.
- Offers hotel availability and appropriate deals to customers at more than 350,000 hotels worldwide.
- Has a wide user-base supporting 8000+ travel agents, 15000+ frontline bookers with 5000+ daily bookings.
- Provides real-time availability and inventory management.
Success Story
About the Client
Business Needs
- Assure system improvements for 20 million+ cache reads & 4 million+ cache updates per minute.
- Confirm new application design, technology stack, and integrations for high-performance, reliability, and cost optimization.
- Assure data storage optimization for 2TB plus data at rest.
- Confirm integrated deployment for flexibility to cater ever-changing business requirements.
Solutions
- Defined and implemented non-functional quality attribute assurance engineering practices covering processes, strategy, gap analysis, tooling, scripting, execution, data analysis, and profiling.
- Supported architectural decision making by evaluating multiple stacks and confirming apt option based on business KPI achievability.
- Analyzed, defined and successfully implemented metrices covering infrastructure, solution, and business success metrics.
- Executed cloud test spectrum – configuration testing, performance testing, scalability testing, and resilience testing.
- Defined and built on-demand cloud-based geo scalable load generation test lab and data generation framework.
- Confirmed new application design, dependency and deployment to have optimized cost (Capex & Opex) for expected performance.
Business Impact
- Achieved the application’s NFR/KPI’s through assured technical capability of the stack.
- Designed a better deployment strategy and optimized infrastructure provisioning.
- Derived best practices for monitoring application and cluster health.
- Acknowledged the key NFR constraints and defined adequate risk mitigations.
- Achieved better predictability about application sizing and its responsiveness.
- Improved application scalability, availability, and readiness for anticipated failover cases.
Technology Stack
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