Technical Architecture & Implementation

Betfred Technology
Transformation

Three strategic initiatives that modernise Betfred's sportsbook integration, unlock AI-driven business intelligence, and create a self-managing infrastructure platform — engineered for Grand National-scale peak performance.

Why Now

From Platform Migration
to Strategic Advantage

Having successfully migrated Betfred's data platform from SQL Server to Amazon Redshift and taken their platform live, we understand the technology landscape, seasonal peak demands, and the competitive pressures of the UK betting market. These three initiatives build on that foundation to deliver measurable business value.

£1B
Annual Turnover
1,300+
Retail Shops
40+
Data Providers
10x
Peak Traffic Surge
Completed

SQL Server → Amazon Redshift Migration

Data platform modernisation with full schema migration, ETL pipeline rebuild, and performance validation.

Completed

Platform Go-Live & Stabilisation

Production deployment with peak-load testing, monitoring setup, and operational runbook creation.

Proposed

Three Strategic Initiatives

API Gateway unification, AI/ML intelligence platform, and automated infrastructure management.

01
Tyk-Powered Integration Platform

Unified Sportsbook API Gateway

Replace fragmented point-to-point integrations with a centralised API gateway that provides protocol translation, rate limiting, canonical data models, and real-time analytics across all sportsbook data providers.

Unified Sportsbook API Gateway

Key Capabilities

40+ Provider APIs Unified
Sub-5ms Gateway Latency
Per-Provider Rate Limiting
Real-Time Analytics Dashboard

Technology Stack

Tyk GatewayGo MiddlewareRedis ClusterGraphQL FederationgRPCProtocol Buffers

End-State Vision

View Full Architecture
Unified Sportsbook API Gateway end-state mockup
02
Redshift-to-SageMaker Intelligence Engine

AI & Machine Learning Platform

Transform Betfred's migrated Amazon Redshift data warehouse into a strategic weapon with five high-impact ML use cases: responsible gambling detection, fraud prevention, hyper-personalisation, automated KYC, and dynamic odds optimisation.

AI & Machine Learning Platform

Key Capabilities

Responsible Gambling Detection
Real-Time Fraud Scoring
Customer Lifetime Value
12-Second KYC Automation

Technology Stack

Amazon SageMakerRedshift SpectrumFeature StoreMLflowXGBoostPyTorch

End-State Vision

View Full Architecture
AI & Machine Learning Platform end-state mockup
03
Self-Managing Infrastructure Platform

Automated Intelligence Gateway

Deploy an AIOps-driven platform that unifies cloud, on-premise, and hybrid infrastructure under a single control plane with predictive auto-scaling, self-healing runbooks, and proactive performance management tuned for Grand National-scale peak events.

Automated Intelligence Gateway

Key Capabilities

Unified Multi-Cloud Control
Predictive Auto-Scaling
Self-Healing Runbooks
Cost Optimisation Engine

Technology Stack

TerraformCrossplanePrometheusGrafanaArgo CDKubernetes

End-State Vision

View Full Architecture
Automated Intelligence Gateway end-state mockup
Unified Platform

How the Three Initiatives Connect

Each initiative reinforces the others. The API Gateway feeds clean data to the AI/ML platform, which provides intelligence to the Infrastructure Gateway for predictive scaling and anomaly detection.

Consumer Layer
Betfred WebMobile AppsRetail TerminalsPartner APIsAdmin Portal
API Gateway (Tyk)
Rate LimitingAuth & JWTProtocol TranslationCanonical ModelAnalytics
AI/ML Platform
Fraud ScoringKYC EnginePersonalisationResponsible GamblingOdds Engine
Data Layer
Amazon RedshiftFeature StoreS3 Data LakeKinesis StreamsElastiCache
Infrastructure
Kubernetes (EKS)Terraform IaCPrometheus/GrafanaSelf-HealingAuto-Scaling
Delivery Plan

12-Month Implementation Roadmap

Q1

Foundation & Quick Wins

Months 1–3
  • Tyk Gateway PoC with 3 priority providers
  • Responsible Gambling ML model training on Redshift data
  • Infrastructure audit and Terraform baseline
Q2

Core Platform Build

Months 4–6
  • Full Tyk deployment with 15+ provider integrations
  • Fraud detection and KYC automation models in staging
  • Kubernetes cluster migration and Prometheus observability
Q3

Scale & Optimise

Months 7–9
  • All 40+ providers on Tyk with GraphQL federation
  • Personalisation engine and dynamic odds in production
  • Predictive auto-scaling engine trained on historical peaks
Q4

Peak Readiness & Handover

Months 10–12
  • Grand National load testing at 10x baseline
  • Full MLOps pipeline with automated retraining
  • Self-healing runbooks and FinOps cost governance