# Thoras Documentation

> Documentation for Thoras, the autonomous control plane for compute efficiency. Predictive Kubernetes autoscaling, self-hosted.

- [What is Thoras?](https://docs.thoras.ai/getting-started/what-is-thoras.md): The autonomous control plane for compute efficiency.
- [Quickstart](https://docs.thoras.ai/getting-started/quickstart.md): Deploy Thoras and see Kubernetes resource recommendations in minutes!
- [System Requirements](https://docs.thoras.ai/installation/system-requirements.md)
- [Advanced Setup](https://docs.thoras.ai/installation/advanced-setup.md)
- [Configuring AIScaleTargets](https://docs.thoras.ai/guides/configuring-asts.md)
- [Choosing a Forecast Optimization Strategy](https://docs.thoras.ai/guides/forecast-optimization-strategies.md)
- [Predictive Horizontal Pod Autoscaling](https://docs.thoras.ai/guides/hpa.md)
- [Predictive Vertical Pod Rightsizing](https://docs.thoras.ai/guides/vertical-pod-rightsizing.md): 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 po…
- [OOM Remediation](https://docs.thoras.ai/guides/oom-remediation.md): Automatically recover workloads from out-of-memory kill loops
- [JVM Workload Scaling](https://docs.thoras.ai/guides/jvm-scaling.md): How Thoras optimizes Java-based applications
- [Metrics](https://docs.thoras.ai/guides/metrics.md): 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.
- [ArgoCD](https://docs.thoras.ai/guides/argo-cd.md): ArgoCD is a declarative, GitOps continuous delivery tool for Kubernetes applications. This section provides considerations for using ArgoCD to manage Thoras-targeted workloads.
- [Enabling Autonomous Mode](https://docs.thoras.ai/guides/enabling-autonomous-mode.md): Enable predictive scaling with confidence
- [Pausing Autonomous Scaling](https://docs.thoras.ai/guides/pause-scaling.md): Temporarily halt all autonomous scaling actions cluster-wide
- [Stopping Autonomous Scaling](https://docs.thoras.ai/guides/stopping-autoscaling.md): Options for halting Thoras autoscaling, from cluster-wide to per-workload
- [Cost Estimates](https://docs.thoras.ai/guides/cost-estimates.md): Understand how Thoras calculates potential savings and waste across your Kubernetes cluster based on workload resource usage and node pricing data.
- [Authentication with oauth2-proxy](https://docs.thoras.ai/guides/oauth2-proxy.md): How to front the Thoras dashboard with oauth2-proxy so that users must authenticate against your identity provider before reaching the dashboard.
- [Okta Authentication with oauth2-proxy](https://docs.thoras.ai/guides/oauth2-proxy/okta.md): How to front the Thoras dashboard with oauth2-proxy so that users must authenticate against Okta before reaching the dashboard.
- [Azure Entra Authentication with oauth2-proxy](https://docs.thoras.ai/guides/oauth2-proxy/entra.md): How to front the Thoras dashboard with oauth2-proxy so that users must authenticate against Azure Entra ID (formerly Azure AD) before reaching the dashboard.
- [AIScaleTarget](https://docs.thoras.ai/reference/ast-definition.md)
- [Forecasting](https://docs.thoras.ai/reference/forecasting.md)
- [ClusterAIScaleTemplate](https://docs.thoras.ai/reference/cluster-aiscale-template.md): ClusterAIScaleTemplate is a cluster-scoped custom resource that automatically creates and manages AIScaleTargets for matching workloads across multiple namespaces. This feature eliminates the need to manually create individual AIScaleTargets for each workload, enabling fleet-wide scaling policies.
- [Pod Annotations](https://docs.thoras.ai/reference/pod-annotations.md): Reference for the thoras.ai/ annotations Thoras writes to pods, and what they do and don't guarantee.
- [Frequently Asked Questions](https://docs.thoras.ai/faq/introduction.md)
- [Integrations](https://docs.thoras.ai/faq/integrations.md): How Thoras works alongside KEDA, Cluster Autoscaler, and Karpenter
- [Compliance & Security](https://docs.thoras.ai/faq/compliance.md): Learn about Thoras security certifications and data protection practices
- [Support and Deprecation Policy](https://docs.thoras.ai/policies/support-policy.md): Thoras support and deprecation policy: supported versions, compatibility commitments, Kubernetes version support, and breaking change notification.
- [Deprecations](https://docs.thoras.ai/deprecations.md): Active deprecations in Thoras and their removal timelines.