Event operations
Workflows for event creation, publishing, ticket inventory, and operational updates.
Case study
LiveArena
End-to-end platform for managing events, staff, campaigns, and operations, including ticketing, payments, and automated content workflows.
Designed for real-world venue and event operations.
Architecture
One platform for event data, venue operations, ticketing, payments, content automation, and deployment.
The system uses shared data and operational workflows instead of disconnected point tools.
Ticketing system
Backend logic for ticket availability, order flow, event-specific configuration, and payment-ready data models.
Automated content workflows
Content generation connected to event data so campaign assets can be produced without a manual design handoff.
Technical decisions
Tools selected for deployment control, data consistency, and system ownership.
Each major choice supported a specific operating requirement.
AWS ECS
Used for containerized application services with predictable deployment, horizontal scaling, and isolation between workloads.
AWS RDS
Used for managed relational storage because events, tickets, orders, and user actions need consistent transactional data.
Custom platform
Used instead of stitched-together tools because events, staff, campaigns, operations, ticketing, payments, and content workflows needed one shared data model.
Generative AI / LLM layer
Used for campaign and event-content generation with prompt templates, brand guardrails, and workflow checks so content automation could scale without losing consistency.
Results
Less manual coordination. Clearer scaling path.
Events, staff, campaigns, operations, ticketing, payments, and content generation moved into one platform.
Automated content workflows reduced repetitive promotional production work.
Containerized AWS infrastructure gave the platform a clear scaling path as event volume grows.
Managed database infrastructure reduced operational risk around core event and ticketing data.
Next step
Map the workflow, data model, infrastructure, and automation requirements.
Start with a technical review of the constraints, dependencies, and delivery path.