Jetscale AI Recommendation Examples

These recommendations and remediations are generated from an exhaustive analysis of infrastructure and business context, surfacing meaningful optimization opportunities.

Compute Ressources

Cluster right-sizing

Jetscale AI analyzes all nodes within a node group — including their configurations — and recommends right-sizing actions to optimize cluster efficiency.

screenshot of Jetscale AI interface

Compute Ressources

On-demand to Spot migration

By analyzing resource tags, Jetscale AI identifies workloads tagged as QA/Testing and safely recommends switching to Spot instances — unlocking significant cost savings with minimal risk.

screenshot of Jetscale AI interface

Storage Ressources

S3 intelligent tiering to Glacier

Jetscale AI analyzes all nodes within a node group — including their configurations — and recommends right-sizing actions to optimize cluster efficiency.

screenshot of Jetscale AI interface

Storage Ressources

VPC Endpoint addition

As part of the S3 recommendation, Jetscale AI suggests adding a VPC Endpoint — a free action that eliminates NAT Gateway fees and enables more granular network optimization going forward.

screenshot of Jetscale AI interface

Cost Breakdown

Outdated machine type charges

Jetscale AI surfaces extended support charges triggered by machine types no longer compatible with the current Kubernetes version, so teams can act quickly and avoid unnecessary spend.

screenshot of Jetscale AI interface