Highly Loaded Architecture (Live Betting, Streaming)

Highly Loaded Architecture for Betting Platform (Live Betting, Streaming)

Real-time betting is one of the most technologically complex segments of the iGaming industry. Live betting, streaming sports data, instant coefficient changes and calculations all require a highly loaded, fault-tolerant and scalable architecture that works 24/7 without delay.

Live architecture features

Instant reaction to events - goals, deletions, timeouts must be updated in milliseconds
Limited window on bet - calculation should be as accurate and fast as possible
Incoming data stream - tens of thousands of events per minute from feed providers
Load stability - especially during top events (World Cup, finals, derby)

Data Streaming

Component	Description
Data Feed Ingestion	Integration with providers (Sportradar, Betgenius, etc.) via API/WebSocket
Calculation of coefficients	Real-time based on algorithms and margin
Update interface	Via WebSocket or push (without reloading the page)
Caching and buffering	Redis, Kafka, NATS - for stability and speed

System architecture

Microservices by area of responsibility - rates, settlements, broadcasts, reports
Event-driven и stream-first подход — Kafka, gRPC, REST + WebSocket
API-first logic - openness to integrations, mobile applications and partner channels
CDN and geo-distribution - so that a player from Brazil or Germany receives an equally fast response
Failover systems and health-check mechanisms - automatic restart in case of failures

Scalability and fault tolerance

Scale horizontally by node (no downtime)
Isolation of critical services (calculation, rate, fee) into separate containers

Automatic SLA monitoring for API response time

Technologies

Scope	Tools & Solutions
Backend	Go, Node. js, Java, Elixir
Streams & Events	Kafka, NATS, Redis Streams
Realtime	WebSocket, SSE, SignalR
Data Warehouse	PostgreSQL, ClickHouse, Redis
DevOps	Kubernetes, Docker, GitLab CI, Terraform
Balancing	NGINX, HAProxy, Cloudflare

High-load architecture is the basis of Live-betting. The higher the speed of data processing, stability under load and accuracy of bets, the higher the confidence of the players, the depth of the sessions and the income of the platform. Without a stream architecture and competent infrastructure optimization, scalable and reliable live-betting is impossible.