Google Compute Engine

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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.

The Federator.ai/ Google Cloud operations suite integration workflow

Diagram: Federator.ai and Google Cloud’s operations suite work together to configuring new VM clusters

Visibility and Optimization of VM Resources

Visibility and Optimization of VM Resources

Federator.ai utilizes collected operational metadata of IT operations to provide real-time visibility into the usage of VM resources. This enables quick identification of opportunities for resource optimization on clusters and nodes, which allows for more accurate provisioning of VM resources to ensure operational resilience.

Costs Improvement

Costs Improvement

Federator.ai optimizes infrastructure utilization, provides accurate capacity projections, suggests the optimal combination of instance types and numbers for operations, and helps assess the Total Cost of Ownership (TCO) of on-premises components, allowing executives to evaluate the long-term costs of their on-premises infrastructure and make the most cost-effective decisions.