Intelligent Cloud AutoStopping: Google Compute Engine
Blog post from Harness
Harness Intelligent Cloud AutoStopping offers a method for optimizing cloud costs by managing idle resources in non-production workloads on platforms like AWS, Azure, GCP, and Kubernetes clusters. By automatically detecting idle times and shutting down unused resources, it helps companies save significantly on their cloud computing expenses, potentially reducing costs by over 70% for non-production workloads. The system employs a custom load balancer, which works alongside Envoy and proprietary services, to route traffic and manage virtual machines efficiently. AutoStopping Rules can be configured to automatically restart resources upon traffic detection, thus minimizing manual intervention and further reducing costs. This technology is particularly beneficial for managing Google Compute Engine VMs, where users can set up custom load balancers and AutoStopping Rules to optimize resource usage and avoid cloud waste, ultimately contributing to better cloud budget management and overall cost efficiency.