Fault tolerance

Providing fault tolerance in the betting platform

In betting, stability is everything. Loss of connection, API drop or delay in calculating the live bet can lead to financial losses, loss of player confidence and reputational risks. Therefore, reliable platforms implement a multi-level fault tolerance system that works even when individual components fail.

What is fault tolerance

Fault tolerance is the ability of the system to continue to operate in the event of partial failures:

• Without interruption in case of server, database, API failures
• Automatic switching to redundant nodes
• Localize the problem without dropping the entire platform
• Rapid recovery without manual intervention

Technologies and approaches

Method	Purpose and Effect
Load Balancer	Multi-Node Traffic Distribution
Database Replication	Primary Storage Loss Prevention
Microservice Architecture	Problem Component Isolation
Health-check & Auto-restart	Service monitoring and automatic recovery
GEO-DR	Worldwide support
Active-Active and Active-Passive clusters	No downtime when one of the centers fails

Infrastructure for fault tolerance

Kubernetes (K8s) - self-healing clusters
Redis Sentinel/Cluster - fault-tolerant caches
PostgreSQL with replication - primary and hot backup database
Kafka with multiple brokers - reliable event delivery
Cloudflare/CDN - Perimeter Protection (DDoS, DNS, Geocalibration)

Examples of situations

Scenario	How the system works
One of the API servers crashes	Traffic instantly goes to the other via LB
Missing Internet in the region	GEO-DNS will transfer players to the nearest data center
Calculation Engine Error	Rest of Platform Continues to Run
Database Corruption	Recover from Replica with No Data Loss

Platform Result

Improved service reliability
Maximum uptime: 99. 99% and above
Protect revenue from technical failures
Partner and player confidence
Reduced support calls

Fault tolerance is not just about "not falling," but about "always working." In a high-load live-betting environment, it is important to be prepared for any failure: from overload to node failure. The more reliable the system is built, the calmer the business and players.