Engineering
Explore technical articles from Cast AI covering Kubernetes engineering, cloud infrastructure, automation and platform development.
Karpenter Is Free. Here’s What You Actually Pay For at Scale
Karpenter has no license fee, but running it at scale can require significant engineering overhead.…
The Karpenter Ecosystem: Which Tools Extend Karpenter, and What Each Adds
Karpenter provisions nodes well, but production Kubernetes also needs workload rightsizing, cost allocation, multi-cluster policy,…
Open-Source Karpenter Limitations: What the Gaps Are at Enterprise Scale
Karpenter provisions nodes efficiently but has six documented limitations at enterprise scale: no workload rightsizing…
Karpenter Is Running but Costs Haven’t Dropped: A Diagnostic Checklist
Karpenter may not reduce costs as expected due to oversized requests, narrow NodePools, disabled consolidation,…
AI and Token Cost Management on Kubernetes: Attributing Inference Spend to Teams
Token costs are often invisible in Kubernetes cost tooling. This guide explains how to attribute…
Dev and Staging Kubernetes Costs: What to Cut When Nobody Is Watching
Your production cluster gets the scrutiny it deserves: resource limits tuned, Spot nodes managed, capacity…
Best Kubernetes Autoscaling Tools in 2026 Compared
Choosing the right Kubernetes autoscaling tools depends on whether you need to scale nodes, workloads,…
Is Automated Rightsizing Safe? What Happens to OOMKills and CPU Throttling
Automated rightsizing can lower CPU costs while reducing OOM kills. Learn how bidirectional adjustments, guardrails,…
AKS Cost Optimization: A Guide to Reducing Spend in 2026
AKS cost optimization means cutting AKS Kubernetes spend across nodes, pods, and purchasing without hurting…
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