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Practical guide

High-load architecture

How a highly loaded architecture works in betting: processing live bets, working with streaming data, fault tolerance and real-time scaling.
Expert Fedor Korolev

Real-time betting is one of the most technologically complex segments of the iGaming industry. Taking live bets, working with streaming sports data, instantaneous 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
Interface update 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

Monitoring & Observability: Grafana, Prometheus, ELK, Jaeger

Automatic SLA monitoring for API response time

Technologies

Area Tools and Solutions
Backend Go, Node. js, Java, Elixir
Threads and 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.