Auto Scaling
Capacity follows real demand, absorbing seasonal peaks and campaign spikes without permanent over-provisioning.
Vibes Group UK Platform Module
The foundation every booking engine runs on.
Real-time search across suppliers is demanding: traffic spikes, parallel API fan-outs, and bookings that must never be lost mid-flow. Scripterlab deployed the platform on AWS with auto scaling, load balancing and observability — tuned for cost efficiency as well as resilience.
Challenge & Transformation
Architecture
Traffic Entry
CDN and load balancing at the edge.
Application Layer
Next.js frontends and API services, auto scaled.
Search Fan-Out
Parallel supplier requests with caching layers.
Data Layer
Booking and content storage on managed services.
Observability
Logs, metrics and alerts across the stack.
Integrations
Key Features
Capacity follows real demand, absorbing seasonal peaks and campaign spikes without permanent over-provisioning.
Logs, metrics and alerts across services make issues visible before customers feel them — and make cost drivers measurable.
Caching, image/CDN strategy and route-level code splitting keep search and booking pages fast under load.
Smarter caching, right-sized services and autoscaling tuned to cut infrastructure cost — a core project goal, not an afterthought.
Product Workflow
Business Impact
Platform Connections
Development Partner
Questions
The platform is deployed on AWS with a Next.js application layer, managed data services, CDN and edge caching, auto scaling and full observability.
Auto scaling adds capacity as demand rises and releases it afterwards, while caching and CDN layers absorb read-heavy search traffic before it reaches origin services.
Through smarter caching, autoscaling matched to real usage, and observability that made cost drivers visible — infrastructure tuning was an explicit goal of the engagement.
Work with Scripterlab to design, develop and scale travel technology built around your suppliers, operations and customer journey.