Connect your existing cluster with a simple agent (pod) to establish a secure tunnel to connect your cluster with Magalix AI.
See hourly proactive recommendations to scale up or down your pods, containers, and nodes. All driven by your users' workloads and performance indicators you set for the AI models.
Easily control when and how the recommendations are automatically executed.
Magalix AI manages your Kubernetes cluster and your containers and ensure they are always running in harmony with your business needs and infrastructure capabilities. Think of it as an intelligence layer added to your cluster to manage scalability of your containers and VMs.
Magalix captures users' patterns and creates predictions for resource consumption, automatically calibrating when needed.
Scaling multiple layers to based on their dependencies is hard and a tedious process. Magalix Analyzes and scales all your stack's layers to keep up with anticipated workloads. It scales your pods, containers, and cluster to make sure they are all working in harmony together.
Magalix works at all available metrics resolutions to predict daily, weekly, monthly and seasonal changes in workloads. You don't have to switch between different resolutions and trying to guess a single or few decisions to accommodate them all.