Savings has two aspects:
The promise of the cloud is elasticity, where resources can scale up and down based on demand. This requires the right autoscaling policies and techniques.
Dynamic scaling: Scaling based on actual demand metrics like CPU or memory utilization.
Scheduled scaling: Scaling based on predictable events or patterns.
Predictive scaling: Scaling based on machine learning models and past behavior.
New Bank, a large digital bank in Latin America, has adopted a multi-pronged efficiency strategy:
Key lessons learned:
Next steps for New Bank: