Customer
AB InBev is a global consumer goods company and one of the world's largest brewers. Their operations span dozens of markets and require scalable, real-time data infrastructure to support sales forecasting, supply chain optimization, and business analytics.
The Challenge
AB InBev's on-premises Oracle infrastructure created significant constraints for their analytics and forecasting operations:
- - On-premises Oracle databases limited scalability for growing data volumes
- - Monolithic overnight batch processes for sales forecasting left analysts working with stale data
- - Manual ETL pipelines created bottlenecks between data ingestion and business insight
- - No predictive analytics capability to move from reactive to proactive decision-making
The legacy architecture could not support the real-time analytics and predictive capabilities AB InBev needed to maintain competitive advantage across global markets.
The Solution
Tactical Edge partnered with AB InBev to execute a near-zero-downtime migration from on-premises Oracle to AWS, followed by modernization with serverless and AI/ML services.
Key components of the solution included:
- - AWS Database Migration Service (DMS) with Change Data Capture (CDC) for near-zero-downtime cutover
- - Amazon RDS Custom for Oracle, EC2, and S3 for the migrated database and storage tier
- - AWS Lambda for serverless ETL processing, replacing monolithic batch jobs
- - Amazon SageMaker for predictive analytics and sales forecasting models
- - DynamoDB for low-latency results serving, Amazon API Gateway for API access, and Amazon ElastiCache for caching
- - Amazon Athena and Amazon CloudFront for analytics queries and content delivery
- - 48-hour hypercare period post-cutover with active monitoring and rollback readiness
The architecture was designed to replace batch processing with near-real-time data pipelines, enable predictive analytics, and maintain zero data loss throughout the migration.
Results
The migration and modernization delivered measurable improvements across availability, performance, and cost:
- - Production cutover completed in a 4-hour window with near-zero downtime
- - 99.9% uptime with under 250ms latency for production workloads
- - Zero transaction loss during the full migration and cutover process
- - 12-month estimated cost of $261,890.52 for the modernized AWS environment
AB InBev now operates on a scalable, modern data platform that supports real-time analytics, predictive forecasting, and global business operations with enterprise-grade reliability.
Why It Matters
This engagement demonstrates a core Tactical Edge principle:
Database migration and modernization deliver the most value when they combine near-zero-downtime execution with architectural transformation that unlocks new capabilities like real-time analytics and predictive intelligence.
For AB InBev, this meant moving from stale batch reports to real-time predictive insights without disrupting global operations.
This engagement reflects Tactical Edge's broader approach: start from business-critical constraints, execute migrations with zero data loss and minimal downtime, and modernize architectures to unlock AI-driven analytics at scale.