✈️ Travel & Hospitality · Deployment · Pro
Airline Booking Engine Deployment
A cloud deployment for an airline's booking site and app, with fare caching, the passenger service system and payments.
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Drawing diagram…
What this diagram shows
- Fare searches are served from a Redis cache in front of the PSS
- Booking and payment services scale separately
- The passenger service system stays the source of truth
Prompt used
Airline booking engine deployment on AWS: users hit Amazon CloudFront and AWS WAF, then an Application Load Balancer. Search, booking and payment services run on Amazon ECS Fargate. Fare search results are cached in Amazon ElastiCache Redis. Bookings are stored in Amazon Aurora PostgreSQL and sent to the passenger service system (PSS) over a private connection. Confirmation emails go through Amazon SES.
Mermaid code
flowchart TD
subgraph EDGE["Edge"]
CF["Amazon CloudFront"]
WAF["AWS WAF"]
end
subgraph APP["Application (Amazon ECS Fargate)"]
ALB["Application Load Balancer"]
SEARCH["Fare Search Service"]
BOOK["Booking Service"]
PAY["Payment Service"]
end
subgraph DATA["Data"]
REDIS[("Amazon ElastiCache Redis fare cache")]
AUR[("Amazon Aurora PostgreSQL")]
end
PSS["Passenger Service System"]
SES["Amazon SES"]
PG["Payment Gateway"]
CF --> WAF --> ALB
ALB --> SEARCH
ALB --> BOOK
SEARCH --> REDIS
SEARCH -->|"cache miss"| PSS
BOOK --> AUR
BOOK --> PAY --> PG
BOOK -->|"create PNR"| PSS
BOOK --> SESRelated templates
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