Betting platform scaling: Kubernetes, AWS, CDN

Why scaling is critical
Instant response when live bidding
Geographically distributed traffic from different continents
Peak attendance spikes and events
Real-time update of coefficients
No downtime - every second = money
Kubernetes (K8s)
Container orchestration for on-demand scaling:
- Autoscaling
- Scale microservices horizontally (rates, calculations, API)
- Blue/Green deploy and zero-downtime updates
- Multicluster architecture support for load isolation
- Built-in self-healing and monitoring mechanisms
AWS and Cloud Solutions
AWS, GCP, Hetzner, DigitalOcean - for flexible deployment and backup:
- Elastic Load Balancer и Auto Scaling Groups
- S3 and Glacier - for storing reports, logs, backups
- Amazon RDS, Aurora - Scalable Databases
- CloudFront, WAF - security, caching, faster access
- Using Terraform to Manage Infrastructure as Code (IaC)
CDN - Worldwide Speed
Content Delivery Network allows you to deliver content instantly:
- Fast loading of the site and coefficients for users from any country
- Caching images, scripts, frontend parts
- DDoS protection, edge filtering and geo-constraints
- Using Cloudflare, Akamai, Fastly, Bunny CDN
Typical Scaling Scenarios
Scenario | Solution |
---|---|
Traffic spike on live | HPA in Kubernetes + automatic addition of pods |
Increase GEO coverage | Deploy edge nodes and CDNs |
Load sharing | Isolation of services (rates, settlements, UX) in clusters |
Working with Big Data and BI | Splitting flows through Kafka and ClickHouse |
A/B tests and releases | Canary/Blue-Green deployment via Helm/K8s |
Scaling is not an optional feature, but the basis for the stable operation of the betting platform. Kubernetes gives flexibility, AWS gives power, CDN gives global speed. Only with their correct combination can you ensure continuous operation, instant rates, protection against overloads and growth without borders.
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