5x Faster Fare Processing with Scalable Azure Infrastructure for Flight Pricing Platform
5x Faster Fare Processing with Scalable Azure Infrastructure for Flight Pricing Platform
We helped a travel-tech startup replace its monolithic stack with a Kubernetes-based Azure architecture and automated CI/CD. The new infrastructure reduced fare processing times from 5 hours to under 1, eliminated deployment bottlenecks, and enabled the platform to scale with growing data volumes and user demand.
PROCESSING SPEED
Reduced from 5 hours to under 1
DEPLOYMENT FREQUENCY
2x more releases per sprint
OPS OVERHEAD
Cut manual maintenance time by ~60%
Slow data pipelines, high operational overhead, and scalability limits blocked the platform from keeping pace with growth.
Processing delays under high data load
Parsing and aggregating fare data from multiple sources took up to 5 hours per run, limiting update frequency and system responsiveness.
Manual deployments with frequent rollback issues
The platform used mixed deployment methods and no pipelines, leading to inconsistency and frequent downtime during updates.
Infrastructure maintenance burden
Distributed components (Celery, Redis, Kafka) were managed manually, requiring constant ops effort and reactive fixes.
5
Uitware built a powerful IoT platform that helps us drive sustainability and scale with ease. Their team is a true partner in innovation.
Joost Kingma
We implemented a modern containerized architecture with full CI/CD and autoscaling, dramatically improving speed and reliability.
AKS-based infrastructure migration
Moved backend services to Azure Kubernetes Service with Helm, improving resiliency, observability, and resource usage.
CI/CD automation using Azure DevOps
Build, test, and deployment workflows were fully automated, reducing release effort and increasing delivery confidence.
Kafka and Redis optimization under Kubernetes
Kafka and Redis workloads were containerized, orchestrated within AKS, and monitored to ensure system health and responsiveness under load.
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Technologies we used
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Microsoft Azure
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Azure Kubernetes Service (AKS)
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Azure DevOps
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Kafka
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Redis
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Celery
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Docker
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Helm
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PostgreSQL
