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Software Architect & Technical Lead

Online Lottery Ecosystem Platform

Data · Sales · Ticketing · Settlement — one high-concurrency ecosystem

A large-scale online lottery ecosystem covering data, sales, retailers, physical tickets, and external APIs. The platform consists of several major systems: Data Center, Service Center, Ticket Processing Center, Retailer Platform, and Consumer Applications. The Data Center collects match schedules, team information, real-time game data, and lottery results from multiple sources through scheduled and distributed collection. The Service Center exposes APIs for consumer apps and retailer platforms. The Ticket Processing Center handles high-volume ticket orders and routes them to printing facilities. Consumer channels include mobile apps, H5, and mini-programs. Critical business modules include ticket splitting and prize settlement, so orders, physical tickets, and payouts stay consistent under peak load.

Data CenterTicket SplittingPrize SettlementHigh ConcurrencyMulti-channel Sales
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Online Lottery Ecosystem Platform architecture diagram

What This Platform Delivered

End-to-End Ecosystem

From match and draw data through consumer orders, retailer sales, physical ticket printing, and prize settlement — one coordinated platform instead of disconnected silos.

High-Concurrency Trading

Distributed architecture built for peak draw windows: real-time order intake, idempotent processing, and controlled back-pressure across services.

Trusted Ticketing Path

High-volume ticket orders are split and routed to printing facilities so physical tickets can be generated reliably and traced back to the original order.

Accurate Prize Settlement

Draw results flow into settlement rules so winning tickets are matched, prizes calculated, and payouts reconciled with auditability.

Security & Risk Control

Access control, transaction integrity, anomaly detection, and operational limits to protect funds, tickets, and partner channels.

Observable Operations

Monitoring and tracing across collection, trading, printing, and settlement so incidents can be diagnosed before they become outages.

Major Systems

Data · Sales · Ticketing · Settlement — one high-concurrency ecosystem

Data Center

Scheduled and distributed collection of match schedules, team information, real-time game data, and lottery results from multiple sources.

  • Multi-source ingestion
  • Match & team catalogs
  • Live scores / events
  • Official draw results

Service Center

Unified APIs for consumer-facing applications and retailer platforms — the integration backbone of the ecosystem.

  • Consumer & retailer APIs
  • Auth and channel isolation
  • Catalog, odds, and orders
  • Gateway & rate limits

Ticket Processing Center

Handles large volumes of ticket orders and distributes them to printing facilities for physical ticket generation.

  • Order intake & queueing
  • Ticket splitting
  • Print-site routing
  • Status callbacks & tracing

Retailer Platform

Tools for retail partners to sell, query, and manage tickets in stores, with settlement aligned to the central platform.

  • Store & terminal management
  • In-store sales workflows
  • Inventory / ticket status
  • Retailer reconciliation

Consumer Applications

Mobile apps, H5 applications, and mini-programs for browsing fixtures, placing orders, and checking results.

  • Native / hybrid mobile
  • H5 sales channels
  • Mini-programs
  • Account, orders, prizes

Architecture & Ops

The distributed foundation that keeps peak traffic, risk, and operations under control.

  • Spring Cloud microservices
  • Redis / MySQL clusters
  • Message queues
  • Monitoring & observability

Typical Flows

1

Match & Result Pipeline

Collectors pull schedules, teams, live game data, and official results on a schedule and in near real time; the Data Center normalizes and publishes them for sales and settlement.

2

Consumer Order to Ticket

A user places a bet on app, H5, or mini-program → Service Center validates and books the order → Ticket Processing splits the order and dispatches print jobs to facilities → ticket status is synced back to the consumer.

3

Retailer In-Store Sale

Retail terminals call the same Service Center APIs to sell and query tickets, with store-level permissions and later reconciliation against the central ledger.

4

Peak Draw Window

Before a major draw, traffic spikes. Queues, clustering, and back-pressure keep order capture correct; printing capacity is allocated across facilities.

5

Prize Settlement After Draw

Official results land in the Data Center → settlement engine matches winning tickets, calculates prizes, and drives payout / claim workflows with an auditable trail.

6

External Partner Integration

Third-party channels consume Service Center APIs under gateway policies — catalogs, orders, and results without exposing internal printing or settlement internals.

Capability Overview

DomainCapabilities
ArchitectureOverall system design, high-concurrency distribution, API gateway, Docker / K8s delivery
DataScheduled & distributed collection of schedules, teams, live games, and lottery results
TradingReal-time order processing, channel APIs, retailer and consumer sales
TicketingHigh-volume ticket orders, ticket splitting, print-facility distribution, physical ticket generation
SettlementPrize matching after draws, payout workflows, reconciliation and audit
Risk & SecurityAccess control, transaction integrity, anomaly / risk policies, operational limits
ClientsMobile apps, H5, mini-programs, retailer terminals

Tech Stack

JavaSpring CloudRedis ClusterMySQL ClusterMQAPI GatewayDockerK8s

This is not a single sales app — it is a full lottery ecosystem. Data collection, channel APIs, physical ticketing, and prize settlement share one architecture, so orders, printed tickets, and payouts stay consistent under real production load. Ticket splitting and prize settlement are the critical paths that hold that loop together.

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