How to Reduce Your Carbon Footprint with a Scheduled Autoscaling Calendar
summary
Betclic reduced infrastructure carbon emissions by about 89% (from ~410 to ~47 tCO2e) using a schedule-driven autoscaling system. They use a color-coded calendar to declare expected load, push Terraform configurations via GitHub CI/CD, and orchestrate scaling with AWS Application Auto Scaling for ECS plus EventBridge and Step Functions to resize MongoDB Atlas clusters; Boavista metrics show traffic-dependent services drop ~60% and turning off staging outside work hours adds ~12% savings.
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chapters (6)
- 0:00Introduction
- 11:45Green IT reference models
- 23:08Traffic management and manual scaling
- 30:27Automatic scaling calendar
- 40:46Results and footprint reduction
- 42:16Q&A
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