Presenters

Source

Hello everyone, and a huge thank you for joining this insightful session with Mukul Kumar Gaur! Today, we’re diving deep into a pressing challenge many airlines and Online Booking Platforms (OBPs) face: how to scale NDC shopping traffic while keeping prices accurate and systems reliable. Get ready to discover how intelligent caching is revolutionizing airline distribution!

The NDC Challenge: Navigating a Skyrocketing Demand 💥

The world of airline distribution is evolving rapidly, moving towards modern retailing and dynamic offers. While this brings incredible flexibility, it also creates a massive headache for infrastructure. Mukul Kumar Gaur highlights a dramatic increase in shopping requests, not just in volume but also in complexity. Each request now demands significantly more computation than ever before, involving intricate calculations for fares, taxes, inventory, availability, and merchandising rules.

This surge in demand, coming from airline websites, online travel agencies, meta-search platforms, and even automated repricing systems, puts immense operational pressure on NDC shopping infrastructure. The consequences? Higher latency and significantly increased cloud infrastructure costs. The core issue? Redundancy. Many shopping requests are repetitive or near duplicates, yet systems often re-compute the full offer every single time. We’re effectively scaling infrastructure to process repetition rather than incremental revenue demand.

Why Caching? The Core Problem & Solution 💡

Instead of simply throwing more hardware at the problem, Mukul Kumar Gaur proposes a smarter approach: identify repeat demand and reuse previously computed responses. This is where caching becomes a powerful architectural capability. Caching allows the system to store previously calculated offers and reuse them when identical or similar requests appear again, dramatically reducing the computational workload on the offer engine.

The Power of Intelligent Caching: Benefits Galore! 🚀

Intelligent caching isn’t just a nice-to-have; it’s a game-changer. It transforms the architecture from a model based on constant re-computation to one built on intelligent reuse. Here are the three major benefits:

  1. Reduced Backend Load: It significantly cuts down backend processing, freeing up valuable infrastructure resources.
  2. Blazing-Fast Responses: Platforms can deliver subsequent responses much faster, which is absolutely critical for an excellent customer experience.
  3. Unmatched Stability: Caching provides crucial stability during sudden demand spikes, fare promotions, or peak travel search periods, preventing system meltdowns.

Caching Strategies: Not One Size Fits All 🛠️

Mukul Kumar Gaur emphasizes that there isn’t a single caching model that fits every airline environment. Modern NDC architectures typically combine multiple caching strategies to achieve optimal results:

  • Full Offer Caching: This strategy provides the fastest possible response times. The system stores the complete, pre-computed offer and instantly retrieves it for similar requests. It’s ideal for markets with relatively stable pricing or where the cache freshness window is meticulously managed.
  • Hybrid Anchor Search: This approach intelligently combines cached components with real-time recalculations. For instance, a stable pay structure might be cached, while dynamic elements like availability or economic price adjustments are re-calculated on the fly.
  • Partial Component Caching: This goes even further, storing individual elements of the offer pipeline separately. Think cached tax calculations, fare rules, or schedule data. This method reduces the risk of stale data while still boosting performance.

Each strategy offers unique trade-offs between performance, flexibility, and pricing freshness, requiring careful consideration.

Keeping it Fresh: Tackling Pricing Drift & Governance 🛡️

A common concern with caching is pricing drift – the risk that cached offers might become outdated. To prevent this, robust governance mechanisms are essential:

  • Freshness Thresholds: These limit how long an offer remains valid in the cache.
  • Real-time Cache Invalidation Triggers: These automatically remove cached data when pricing or inventory changes occur.
  • Elasticity Control: This ensures the system can handle large traffic spikes while maintaining consistency and accuracy.

With the right governance in place, caching delivers scalability without sacrificing accuracy.

Monitoring for Success: Staying Aligned 📊

Another critical component for a successful caching strategy is operational monitoring. Business intelligence dashboards provide vital visibility into metrics like cached rates, system performance, and pricing alignment. This empowers engineering teams to quickly detect anomalies and inconsistencies. Furthermore, automated alerting mechanisms immediately notify teams if pricing discrepancies occur. These monitoring systems ensure caching remains perfectly aligned with real-time pricing environments, maintaining both operational reliability and customer trust.

Building an SR-Ready NDC Future: Best Practices 🎯

To build an NDC shopping architecture that is both scalable and reliable (SR-ready), Mukul Kumar Gaur outlines several best practices:

  1. Implement a Layered Caching Strategy: Combine full, hybrid, and partial caching approaches for maximum efficiency.
  2. Establish Clear Cache Policies: Define precise rules for caching and, crucially, for invalidating cached data.
  3. Integrate Strong Monitoring and Observability Tools: Continuously track performance and pricing accuracy to ensure everything runs smoothly.

By applying these principles, airlines can achieve both scalability and operational stability.

Conclusion: The Smart Path Forward ✨

As airline retailing continues its evolution, the volume and complexity of shopping traffic will only grow. Relying solely on real-time computation is no longer sustainable. Modern NDC platforms must adopt smarter architectural approaches. Caching allows airlines to effectively reuse work that has already been performed, dramatically improving performance while simultaneously reducing infrastructure costs. When implemented with proper governance and robust monitoring, caching becomes a key enabler for a scalable, reliable, and high-performance NDC future.

Thank you for joining us on this journey to understand the power of intelligent caching!

Appendix