AWS Auto Scaling Our Service Leads utilize AWS Auto Scaling, which dynamically adjusts compute, database, and application resources to maintain performance and cost efficiency. It scales EC2 instances, ECS tasks, DynamoDB, and Aurora based on demand, ensuring high availability. With predictive scaling and dynamic policies, AWS Auto Scaling optimizes resource utilization, minimizing manual intervention and operational overhead.

Kubernetes Cluster Autoscaler Our Service Leads utilise Kubernetes Cluster Autoscaler to dynamically adjust node count based on resource demands. It scales up when pods lack capacity and scales down when nodes are underutilised. This ensures optimal resource utilisation, cost efficiency, and high availability, enhancing the performance and reliability of Kubernetes workloads.