Virtual machines in Azure
Azure virtual machines are a type of on-demand, scalable computing resources offered by Microsoft Azure. They provide the flexibility of virtualization without the need to purchase or maintain the physical hardware that supports it. Azure virtual machines offer a quick and convenient solution for development and testing, running applications in the cloud, or extending your data center with network connectivity.
Benefits of Federator.ai employed for Optimization of Google Compute Engine
Managing a large VM deployment in Azure 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 adding application-aware optimization to Azure virtual machines.
Diagram: Federator.ai and Azure virtual machine work together to configuring new VM clusters
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
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.