Amazon EKS/ Azure AKS/ Google GKE

Popular Public Cloud Services

Amazon EKS (Elastic Kubernetes Service), Azure AKS (Azure Kubernetes Service), and Google GKE (Google Kubernetes Engine) are popular managed Kubernetes services that provide an easy way to deploy, manage, and scale containerized applications in the cloud. With a wide variety of readily available instance types, they enable DevOps teams to easily scale up or down to handle changes in requirements or popularity spikes, reducing the risk of resource shortages when operating.

Benefits of Federator.ai employed for Optimization of Public Cloud Services

Container adoption can introduce operation agility but also significant operational overhead, especially when managing compute resources across on-premises, hybrid cloud, MultiCloud, or edge architectures. To address this challenge, Federator.ai offers an AI-powered solution that optimizes container resources in public clouds.

Federator.ai takes the monitored data and provides the operation recommendations for different layers

Diagram: Federator.ai takes the monitored data and provides the operation recommendations for different layers

Multi-layer Visibility and Optimization

Multi-layer Visibility and Optimization

Leverage collected metadata and operational metrics from multi-layer infrastructure operations to provide ongoing, Just-in-Time Fitted recommendations for optimized resource orchestration using AI-powered workload predictions.

Resource Utilization and Cost Improvement

Auto-scale container resources based on real-time application demands. Identify workload patterns and recommend the most cost-effective portfolio of instance types and quantities, enhancing resource utilization, eliminating over-provisioning, and supporting sustainability.

Performance Assurance and Resilience

Use Federator.ai’s patented Cascade Causal Analysis to identify resource correlations among hardware, cloud resources, Kubernetes layers, and applications. This enables efficient allocation of resources to mission-critical applications while minimizing resource usage.

Policy-compliant Automation

Policy-compliant Automation

Automate continuous operation optimization by accurately interpreting metadata and predicting workloads, then automatically recommending optimal resources. Users can also access Federator.ai’s orchestration script to ensure compliance with company policies.

Please select the software/ platform you would like a demo of:

Federator.ai Cortex

A Unified IT and OT Closed-Loop AIOps System for Modern AI Factories

Federator.ai GPU Booster

GPU Performance Maximization with AI-Enhanced Dynamic Allocation for LLMs

Federator.ai Smart Liquid Cooling

Predictive Workload-Aware Liquid Cooling for High-Density GPU Data Centers

Federator.ai GPU Booster Inference

GPU Performance Maximization with AI-Enhanced Dynamic Allocation for LLM Inference

Federator.ai®

AI-Driven Compute Resource Optimization for Cloud and On-Premises Operations