Interpreting Graphs

Thoras Product Documentation

What is Thoras, how we use machine learning to predict Kubernetes workload demand, and how we autonomously scales infrastructure to optimize resource usage, improve reliability, and reduce operational overhead.

What is Thoras?

Deploy Thoras and see Kubernetes resource recommendations in minutes!

Quickstart

System Requirements

Advanced Setup

Production Readiness

Configuring AIScaleTargets

Predictive Horizontal Pod Autoscaling

Predictive Vertical Pod Rightsizing is the process of preemptively optimizing the CPU and memory resource requests and limits for Kubernetes pods to ensure they have just enough resources to run efficiently without over or under provisioning. Unlike horizontal scaling, which adjusts the number of pod replicas, vertical rightsizing focuses on tuning individual pod configurations to better match their actual usage patterns. This helps reduce wasted resources, lower cloud costs, and improve cluster utilization, while also minimizing the risk of resource starvation or out-of-memory (OOM) errors.

Predictive Vertical Pod Rightsizing

Thoras exposes native Prometheus metrics that offer real-time visibility into the actions and health of the Thoras system. This empowers your teams with deeper insights, transparency, and observability.

Getting Started

Installation and Setup

Guides

Reference

FAQ

Interpreting Graphs