CAST AI

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Overview

Kubernetes automation platform that optimizes cost and performance with autoscaling, rightsizing, Spot automation, and monitoring.

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Best For Professions:

devops engineers platform engineers site reliability engineers cloud engineers finops teams

CAST AI is an application performance automation platform for Kubernetes that helps teams reduce cloud spend and improve workload performance through automated optimization. It provides Kubernetes cost and performance monitoring, then adds automation such as intelligent autoscaling, rightsizing, bin packing, and Spot Instance orchestration with fallback to maintain reliability. CAST AI supports major managed Kubernetes services (EKS, GKE, AKS) and other environments, and offers usage-based plans with a free tier for monitoring plus paid tiers for automated optimization features.

Autonomy level

84%

Reasoning: CAST AI demonstrates very high autonomy through its agentic AI capabilities. The platform operates 24/7 with autonomous task execution, performing complex Kubernetes optimization tasks without constant human input. It automatically detects resource inefficiencies and makes adjustments in real-time without manual monitoring or decision-making. The s...

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Some of the use cases of CAST AI:

Reducing Kubernetes cloud costs via automated rightsizing, bin packing, and resource allocation optimization.
Autoscaling clusters and workloads with Spot Instance automation and fallback to on-demand capacity.
Monitoring Kubernetes cost and performance with real-time dashboards and retention.
Improving DevOps productivity by automating optimization decisions that are otherwise manual and ongoing.

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Pricing model:

freemium

Code access:

closed-source

Popularity level: 81%