Magalix Runs Kubernetes on Autopilot!

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Magalix vs. HPA, VPA, and CA

Magalix vs Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and Cluster Autoscaler

Magalix is a low-touch continuous optimization service for Kubernetes and underlying infrastructure. With a single command line, Kubernetes cluster is connected to Magalix AI-powered optimization services. Magalix continuously predicts changes in workloads to recommend proper resources for pods and containers. It also provides recommendations to right-size your cluster by suggesting the right VM family and a proper number of nodes. Below table provides a quick comparison between Magalix and the equivalent source components that provide similar overall scalability features.

Criteria
Magalix
VPA
HPA
CA

Installation and configurations process

Simple

Medium complexity

Medium complexity

Complex

Predictive analytics

Yes

No

No

No

Proactive scalability

Yes

No

No

No

Scalability recovery - revert bad scalability decisions

Yes

Yes

No

No

Controlled scalability inside a maintenance window

Yes

No

No

No

Monitor multiple resolutions of same metric

6 automatic resolutions to capture seasonality

No, or manually configured

No, or manually configured

No

Executes pod level scalability

Yes

Yes

Yes

NA

Recommends Node type changes

Yes

NA

Na

No

Cluster level and pod level dashboards

Yes - automatic

No

No

No

Supported cloud providers

AWS, Azure, GCP, IBM

NA

NA

AWS, Azure, GCP

Magalix vs. HPA, VPA, and CA


Magalix vs Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and Cluster Autoscaler

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