Peak Season Traffic.
Zero Downtime in 90 Days.
Booking engine CI/CD pipelines, PMS cloud migration with zero downtime, GDS and OTA integration automation, revenue management optimisation, and auto-scaling for 1 million plus searches per hour built for OTAs, hotel chains, and travel tech platforms that cannot afford a single lost booking. 50% faster releases in 90 days.
What Stonetusker Delivers
Production-grade DevOps for travel and hospitality technology worldwide. Peak season traffic cannot tolerate slow searches and bookings cannot survive downtime. We build infrastructure that scales from 10,000 to 1 million searches per hour without performance degradation, deploys features multiple times weekly, and passes every PCI-DSS audit. Every engagement starts with a comprehensive platform capacity assessment.
Booking Engine and CI/CD Foundation.
Build infrastructure that handles million-plus hourly searches without degradation. Automated CI/CD pipelines for reservation systems, search optimisation delivering sub-second results, and auto-scaling that responds to traffic spikes before conversion rates drop.
- Complete travel tech platform audit covering booking engine performance bottlenecks, peak capacity limits, and deployment velocity to identify every opportunity for 50 percent acceleration. 20 plus bottlenecks identified. Roadmap to 50% faster releases.
- Custom CI/CD pipelines for reservation and rate management systems using Jenkins or GitLab CI with automated testing reducing build and test time by 70 percent. 70% faster builds. Full test automation deployed.
- Infrastructure as Code provisioning with Terraform for PMS and booking engine test environments enabling self-service environment creation without IT intervention. Self-service test environments. IT intervention eliminated.
- GitOps branching strategies for OTA channel updates enabling safe deployments across 200 plus distribution channels with automated rollback on rate parity violations. Safe deploys across 200 plus channels. Auto-rollback on violations.
- DevSecOps security scanning for PCI-DSS and GDPR compliance integrated into every pipeline catching payment vulnerabilities before production deployment. Vulnerability-free pipelines. PCI-DSS compliance automated.
- Search API performance optimisation with caching strategies and database query tuning delivering sub-second search results for 1 million plus queries per hour. Sub-second search results. 1M plus queries per hour sustained.
- Booking engine load testing with simulation of peak season traffic validating capacity before holiday periods and proving auto-scaling responds to traffic spikes correctly. Peak capacity validated before holidays. Auto-scaling proven under load.
- Mobile app backend optimisation with offline booking capability enabling guests to browse and save selections in low-connectivity areas with automatic sync when online. Offline browsing enabled. Automatic sync when connection restored.
- Payment gateway integration automation with multi-currency support and PCI-DSS compliant tokenisation processing payments in 150 plus currencies with zero stored card data. 150 plus currencies supported. Zero card data stored on servers.
- Conversion funnel monitoring with real-time analytics tracking drop-off points in the booking process and automatically alerting when conversion rates fall below baseline thresholds. Drop-off points tracked in real time. Alerts on conversion degradation.
Cloud Migration and Channel Automation.
Zero-downtime PMS cloud migration with dual-run validation, auto-scaling optimised for 40 percent cost reduction, and GitOps automation managing 200 plus OTA channels with real-time inventory synchronisation preventing overbooking across every distribution channel.
- Zero-downtime property management system migration to Kubernetes and AWS with dual-run validation ensuring complete data accuracy and maintaining 24 and 7 operations throughout. PMS migrated with zero downtime. 24 and 7 operations maintained.
- Auto-scaling configuration for 1 million plus hourly search peaks during holiday seasons with intelligent scale-down optimising costs by 40 percent during off-peak periods. 1M plus hourly searches handled. 40% cost optimisation achieved.
- ArgoCD GitOps deployment for GDS configuration management maintaining drift-free parity across Amadeus, Sabre, and Travelport with automated config synchronisation. Drift-free GDS parity maintained. Config sync automated across systems.
- OTA channel manager integration with real-time inventory synchronisation across Expedia, Booking.com, Airbnb, and 200 plus distribution channels preventing overbooking automatically. 200 plus channels synchronised. Overbooking prevented automatically.
- Rate parity monitoring automation with competitive pricing intelligence scraping competitor rates and automatically adjusting prices to maintain parity across all distribution channels. Competitor rates scraped automatically. Price parity maintained across channels.
- Revenue management system CI/CD with dynamic pricing algorithm deployment enabling ML-powered rate optimisation and yield management without manual intervention. Dynamic pricing deployed. ML-powered yield management automated.
- Customer data platform migration with guest profile consolidation across PMS, booking engine, and loyalty systems creating a unified 360-degree view of every guest. Unified guest profiles created. 360-degree view across all systems.
- Personalisation engine deployment with recommendation algorithms suggesting relevant rooms, packages, and upsells based on guest preferences and booking history. Personalised recommendations deployed. Upsell conversion increased.
- Loyalty programme automation with points accrual, redemption, and tier management integrated across booking channels and property management systems. Loyalty points automated. Tier management integrated across channels.
- Email marketing automation with triggered campaigns for abandoned bookings, pre-arrival communications, and post-stay reviews increasing direct booking conversion. Triggered campaigns automated. Direct booking conversion increased.
- Blue-green deployment strategy for booking engine updates enabling safe deployments during peak booking hours with instant rollback if any issues are detected. Deploy during peak hours safely. Instant rollback on issues.
Observability, Optimisation, and Elite Performance.
Real-time booking SLO monitoring with Grafana dashboards, custom DORA metrics tracking release velocity and booking platform reliability, fraud detection automation, and the team enablement that sustains travel tech excellence at global scale indefinitely.
- Grafana dashboards for booking SLO monitoring with real-time alerts on search latency, booking completion rates, and payment processing times enabling proactive issue resolution. Real-time SLO visibility. Proactive alerts on degradation.
- Custom DORA metrics for travel tech tracking deployment frequency, search performance, booking success rates, and incident recovery time achieving elite hospitality DevOps benchmarks. Elite DORA benchmarks achieved. Hospitality-specific metrics tracked.
- Distributed tracing for multi-system booking flows with OpenTelemetry tracing requests across search, pricing, inventory, and payment systems troubleshooting issues in seconds. Requests traced across all systems. Issues troubleshot in seconds.
- Fraud detection integration with ML models analysing booking patterns, payment behaviours, and guest profiles blocking fraudulent reservations automatically before confirmation. Fraudulent bookings blocked automatically. Revenue loss prevented.
- A/B testing platform for booking flow optimisation testing checkout variations, upsell placements, and payment options to maximise conversion rates data-driven. Checkout variations tested continuously. Conversion rates maximised.
- Multi-language and localisation automation with content translation workflows and currency conversion supporting global operations in 50 plus languages and 150 plus currencies. 50 plus languages supported. 150 plus currencies automated.
- Demand forecasting pipelines with ML models predicting booking volumes 6 months ahead enabling proactive capacity planning and dynamic staffing optimisation. Demand predicted 6 months ahead. Capacity planned proactively.
- Review aggregation automation with sentiment analysis across TripAdvisor, Google, and Booking.com alerting on negative sentiment spikes and enabling rapid response. Review sentiment tracked. Negative spikes alert management instantly.
- FinOps cost attribution per booking channel and marketing source tracking customer acquisition costs and lifetime value enabling data-driven channel optimisation. Costs tracked per channel. CAC and LTV calculated automatically.
- Disaster recovery automation with multi-region failover for booking systems failing over to backup regions in under 60 seconds and maintaining booking capability during outages. Failover under 60 seconds. Booking capability maintained during outages.
- Team enablement through travel tech DevOps workshops, booking engine architecture training, and PMS optimisation best practices building expertise that ships features 50 percent faster independently. Engineers master travel tech stack. Features shipped 50% faster.
- Full handover with booking engine scaling playbooks, PMS operations runbooks, OTA integration templates, and a 12-month optimisation roadmap enabling self-sufficient travel tech operations. Self-sufficient operations achieved. Global scale deployment ready.
Delivered Worldwide
Ready to Build
Travel Tech That Never Loses a Booking?
Start with a free travel tech platform audit. We will review your current booking engine performance, PMS architecture, OTA integration complexity, and peak season readiness in the first conversation, at no cost and with no commitment required.