Cast AI

Kubernetes configuration drift occurs when actual cluster state diverges from what Git or Helm declares, often through manual changes, Helm overrides, or GitOps gaps. This post explains how drift inflates resource requests and autoscaler baselines, how to detect and attribute changes, and how continuous rightsizing and incremental remediation can restore configuration without disruptive hard reverts. The post Kubernetes Configuration Drift: How to Detect It and What It Costs You appeared first on Cast AI .

Annual Report filed 2026-09-28

Kueue and DRA help Kubernetes manage GPU capacity more efficiently by queuing workloads until resources are available and letting jobs specify precise hardware requirements. This post explains how gang scheduling, MIG partitioning, and automated GPU provisioning can reduce wasted capacity and match workloads to the GPUs they actually need. The post GPU Job Queueing with Kueue and DRA: Scheduling AI Workloads Without Idle Capacity appeared first on Cast AI .

Moving from Kubecost to Cast AI is mainly about planning the transition. Keep your existing labels, export historical cost data, and run both systems in parallel for 30–90 days before moving to automated optimization. The post Migrating from Kubecost to Automated Optimization: What Changes and What to Keep appeared first on Cast AI .

Safe Kubernetes automation requires more than utilization metrics. This post explores how SLO signals, pre-flight guardrails, audit logging, and recommend-only mode help make automated rightsizing safer. It also examines how these controls compare with Karpenter and native VPA. The post How Cast AI’s Automation Decides: The Guardrails, Rollbacks and Evidence Behind Each Action appeared first on Cast AI .

Kubernetes toil grows with cluster scale, but not every task is equally worth automating. This post breaks down the five biggest sources of toil, why resource request tuning offers the strongest automation opportunity, and how to measure hours saved to validate the impact. The post Reducing Kubernetes Toil: A Ranked List of What to Automate First appeared first on Cast AI .

AI SRE goes beyond observability and AIOps into incident investigation, root cause analysis, and remediation. This post explores its current limits, how it is converging with cost automation, and what teams need for safe autonomous operations. The post What Is AI SRE, and Where Does Cost Automation Fit? appeared first on Cast AI .

Automation, autonomy, and agentic operations are not interchangeable. This post breaks down the four levels of Kubernetes operations, what each level can decide, and how the trust boundary shifts as systems take on more responsibility. It also covers the guardrails, rollback mechanisms, and decision evidence needed for safe autonomous operations. The post Automated, Autonomous, Agentic: What the Three Levels of Kubernetes Operations Actually Mean appeared first on Cast AI .

FOCUS 1.4 standardizes cloud billing data across providers and improves Kubernetes cost visibility, but does not allocate node costs across workloads. AI and token-level spending also remain largely outside the standard, with token economics targeted for FOCUS 1.5. The post The FOCUS Specification for Kubernetes and AI Costs, Explained appeared first on Cast AI .

Kubernetes chargeback only works when teams trust the numbers behind the bill. This guide explains why showback is often the starting point, how overprovisioning and unallocated costs undermine fairness, who should own idle capacity, and why AI and token costs require a different allocation model. The post Kubernetes Chargeback and Showback: How to Bill Teams for What They Actually Use appeared first on Cast AI .

Effective Kubernetes capacity planning starts with actual resource usage, not inflated CPU requests. This guide explains how to plan against used, requested, and provisioned capacity, account for stateful workloads, balance reserved and Spot capacity, and keep plans aligned with changing demand. The post Kubernetes Capacity Planning: How to Size a Cluster You Cannot Predict appeared first on Cast AI .