Revenue Management Architecture for Airlines
Publication date: April 5, 2023 (Diagram history)
This reference architecture provides a migration path for airline revenue management systems to AWS. Airlines use this architecture to scale revenue management workloads, add near real-time data feeds, and reduce infrastructure costs. Revenue management teams can dynamically adjust booking controls and meet changing analytics needs.
On-premises revenue management systems cannot scale to meet growing business demands without significant cost increases. They cannot add near real-time data feeds from sources such as ATPCO, QL2/INFARE, and 3Victors. Dynamic adjustments to booking controls and reporting needs require a cloud-native approach.
This migration architecture builds on the Airlines Data Platform foundation.
Revenue management architecture diagram
The following steps describe the architecture:
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Use a tiered data lake on Amazon S3 for ingestion and processing of batch and near real-time data feeds. Add new data feeds and propagate data changes without reengineering the platform.
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Migrate existing revenue management modules to Amazon EC2 Spot Instances. Reduce infrastructure costs compared to on-premises systems. Use Amazon EFS to replicate the file structure that the modules require.
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Convert outputs from revenue management modules and store them in the data lake. Make outputs available for reporting and analytics.
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Use Amazon EC2 On-Demand Instances for near real-time booking controls. Update fares, rules, and availability in DynamoDB for availability services.
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Provide flexible reporting by using the data lake with Amazon Redshift and Athena.
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Build a revenue management dashboard for reporting, analytics, and configuration adjustments.
Further reading
For additional information, see the following resources:
Diagram history
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| Change | Description | Date |
|---|---|---|
Initial publication | Reference architecture diagram first published. | April 5, 2023 |
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