Cast AI

An agentic runbook is an AI-powered automation that observes Kubernetes cluster state continuously, selects the appropriate remediation without human input, and executes multi-step recovery workflows end to end. Unlike static scripts or traditional automated runbooks, agentic runbooks make decisions: they detect anomalies, reason about context, and verify that fixes actually worked. The result is a […] The post What Are Agentic Runbooks? Automated Remediation for Kubernetes appeared first on Cast AI .

APM observes. APA observes and acts. The difference matters most in Kubernetes, where the rate of change has outgrown what humans can manage by hand. The post APA vs. APM: What’s the Difference? appeared first on Cast AI .

Agentic operations is the practice of deploying autonomous AI agents to detect, diagnose, and remediate Kubernetes infrastructure issues without human intervention on every action. Where traditional operations require an engineer to receive an alert, investigate logs, identify root cause, and manually apply a fix, agentic operations compress that entire loop into seconds. The agent observes, […] The post Agentic Operations for Kubernetes: AI Agents Replacing Manual K8s Management appeared first on Cast AI .

Application Performance Automation (APA) is a software category that connects real-time application performance signals to automated cloud infrastructure actions. Where monitoring tools alert and cost tools recommend, APA platforms act: rightsizing resources, scaling workloads, consolidating nodes, and remediating anomalies – autonomously, in response to live performance data and policy-defined reliability objectives. This guide covers what […] The post What Is Application Performance Automation? The Definitive Guide appeared first on Cast AI .

Cast AI for Karpenter is now generally available. It gives platform teams the visibility, optimization, and automation to run Karpenter safely at scale. The post Cast AI for Karpenter is GA: Bring Karpenter to the next level appeared first on Cast AI .

Material Event filed 2026-04-29

Material Event filed 2026-04-22

This is the third year we’ve published our report on the real CPU and memory utilization in Kubernetes clusters. CPU utilization fell to 8%, down from 10% last year. Memory dropped from 23% to 20%. This year, we added GPU utilization to the mix – and across the clusters we analyzed, it stood at just […] The post 2026 State of Kubernetes Resource Optimization: CPU at 8%, Memory at 20%, and Getting Worse appeared first on Cast AI .

IPO Registration filed 2026-04-17

Material Event filed 2026-04-15

Running AI and ML workloads on Kubernetes often leads to underutilized, expensive GPUs. This blog explores two proven GPU sharing techniques – time-slicing and NVIDIA Multi-Instance GPU (MIG) – and shows how Cast AI automates them to maximize GPU efficiency, reduce costs, and scale workloads seamlessly. The post GPU Sharing in Kubernetes: How to Cut Costs and Boost GPU Utilization with Cast AI appeared first on Cast AI .