Available regions
North America
North America
- Ashburn - Atlanta - Boston - Chicago - Dallas - Denver - Los Angeles - Miami - New York City - San Jose - Seattle - Toronto
Europe
Europe
- Amsterdam - Athens - Bucharest - Copenhagen - Frankfurt - London - Madrid
- Milan - Paris - Prague - Stockholm - Vienna - Warsaw - Zagreb
Asia
Asia
- Bangkok - Hong Kong - Istanbul - Jakarta - Kuala Lumpur - Manila - Singapore - Tel Aviv - Tokyo
South America
South America
- Bogota - Mexico City - Sao Paulo
Oceania
Oceania
- Sydney
Africa
Africa
- Johannesburg - Lagos
Autoprovisioning
Autoprovisioning uses reinforcement learning to automatically distribute your app across regions based on traffic patterns. The provisioner periodically analyzes your app’s traffic and adjusts deployments to ensure optimal performance. The autoprovisioning process:- Traffic analysis - The provisioner analyzes your app’s global traffic distribution
- Optimization decision - Based on traffic patterns, it decides whether to deploy or undeploy instances in specific regions
- Deployment - New instances are deployed in regions with increased demand, or removed from regions with lower demand
- Continuous adaptation - This process runs periodically to adapt to changing traffic patterns