GCE for VMs
Google Compute Engine (GCE) is an Infrastructure as a Service (IaaS) offering that allows clients to create applications and run workloads on Google’s physical hardware. GCE provides a scalable number of virtual machines (VMs) to serve as large compute clusters on Google Cloud’s global infrastructure. It supports cloud storage, customized VMs, load balancing, and different instance options.
Benefits of Federator.ai employed for Optimization of Google Compute Engine
Managing a large VM deployment on GCE can be a challenging task. Performance and cost issues can arise due to misconfiguration, over-provisioning, and other factors. To address these challenges, Federator.ai provides an AI-powered solution for effectively adding application-aware optimization to GCE.
Diagram: Federator.ai and Google Cloud’s operations suite work together to configuring new VM clusters
Visibility and Optimization of VM Resources
Leverage collected metadata and operational metrics to gain real-time visibility into VM resource usage with Federator.ai. Quickly identify opportunities for optimizing clusters and nodes, enabling accurate provisioning to ensure operational resilience.
Cost Improvement
Optimize infrastructure utilization with Federator.ai by providing accurate capacity projections and recommending optimal instance types and quantities. Assess the TCO of on-premises components, enabling executives to evaluate long-term costs and make cost-effective decisions.