tuboleta_arquitectura_aws

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tuboleta_arquitectura_aws — GENERAL auto diagram

About This Architecture

TUBOLETA is a distributed AWS architecture supporting 150,000 concurrent users across a multi-tier ticketing platform with edge protection, containerized application services, and polyglot data persistence. Traffic flows through AWS WAF, Shield, API Gateway, and CloudFront before reaching Application Load Balancers routing to ECS Fargate clusters across multiple availability zones. Aurora PostgreSQL handles transactional data with multi-AZ failover under 30 seconds, while DynamoDB and ElastiCache Redis serve high-velocity reads for event catalogs and seat availability. Asynchronous workflows via SNS and SQS trigger Lambda functions for PDF/QR generation and email delivery through SES, with comprehensive observability via CloudWatch, X-Ray, and CloudTrail. This architecture demonstrates enterprise-grade resilience, security, and cost optimization for mission-critical commerce at scale. Fork and customize this diagram on Diagrams.so to adapt the pattern for your own high-concurrency platform.

People also ask

How do you design an AWS architecture for a ticketing platform handling 150,000 concurrent users with sub-30-second failover and real-time seat availability?

TUBOLETA uses Application Load Balancers routing to ECS Fargate across multiple AZs, Aurora PostgreSQL with multi-AZ replicas for transactional data, DynamoDB for low-latency event catalogs, and ElastiCache Redis for 15-second TTL seat availability. SNS/SQS decouple asynchronous workflows, Lambda handles PDF/QR generation, and AWS WAF/Shield protect against DDoS and bots at the edge.

AWSECS FargateAurora PostgreSQLDynamoDBhigh-concurrencyticketing platform
Domain:
Cloud Aws
Audience:
AWS solutions architects designing high-traffic ticketing platforms

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About This Architecture

TUBOLETA is a distributed AWS architecture supporting 150,000 concurrent users across a multi-tier ticketing platform with edge protection, containerized application services, and polyglot data persistence. Traffic flows through AWS WAF, Shield, API Gateway, and CloudFront before reaching Application Load Balancers routing to ECS Fargate clusters across multiple availability zones. Aurora PostgreSQL handles transactional data with multi-AZ failover under 30 seconds, while DynamoDB and ElastiCache Redis serve high-velocity reads for event catalogs and seat availability. Asynchronous workflows via SNS and SQS trigger Lambda functions for PDF/QR generation and email delivery through SES, with comprehensive observability via CloudWatch, X-Ray, and CloudTrail. This architecture demonstrates enterprise-grade resilience, security, and cost optimization for mission-critical commerce at scale. Fork and customize this diagram on Diagrams.so to adapt the pattern for your own high-concurrency platform.

People also ask

How do you design an AWS architecture for a ticketing platform handling 150,000 concurrent users with sub-30-second failover and real-time seat availability?

TUBOLETA uses Application Load Balancers routing to ECS Fargate across multiple AZs, Aurora PostgreSQL with multi-AZ replicas for transactional data, DynamoDB for low-latency event catalogs, and ElastiCache Redis for 15-second TTL seat availability. SNS/SQS decouple asynchronous workflows, Lambda handles PDF/QR generation, and AWS WAF/Shield protect against DDoS and bots at the edge.

tuboleta_arquitectura_aws

AutoIMPORTEDadvancedAWSECS FargateAurora PostgreSQLDynamoDBhigh-concurrencyticketing platform
Domain: Cloud AwsAudience: AWS solutions architects designing high-traffic ticketing platforms
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Created by

May 5, 2026

Updated

May 6, 2026 at 7:15 AM

Type

auto

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