Magalix AI manages the Kubernetes cluster and containers to ensure they are always running in harmony with business needs and infrastructure capabilities. Think of it as an intelligence layer added to your cluster to manage the scalability of applications and nodes.
Magalix captures applications usage patterns and creates predictions for resource consumption, and automatically calibrates these models when needed.
Monitoring thousands of data points, Magalix builds container profiles that help engineers and businesses to understand the performance under different workloads.
Scaling different layers in the infrastructure and considering their dependencies is both hard and a tedious process. Magalix Analyzes and scales all layers of the stack to keep up with anticipated workloads. It scales pods, containers, and nodes to make sure they are all working in harmony.
Magalix works at all different metrics resolutions to predict daily, weekly, monthly and seasonal changes in workloads. No need for engineers to switch between different resolutions and guess a single or few decisions to accommodate these patterns.