The Cast AI blog
Guides, tutorials, and tips on Kubernetes automation, from cost optimization to cloud security and everything in between.
Kubernetes ResourceQuotas and LimitRanges: Govern Requests at the Namespace Level
Learn how Kubernetes ResourceQuotas and LimitRanges control namespace resource consumption. This guide explains CPU, memory, storage, and object quotas, admission-time defaults, quota scopes, and how to…
Kubernetes Cost Anomaly Detection: How to Catch Spend Spikes Early
Most Kubernetes teams discover cost spikes on the invoice, 30 days after the spike began.…
How to Choose Kubernetes Cost Optimization Software: A Buyer’s Guide
Kubernetes cost optimization software falls into two categories: monitoring tools that show you where money…
Kubernetes FinOps: Build Cost Ownership Into Engineering
Learn how Kubernetes FinOps helps teams close the gap between infrastructure spend and actual resource…
Fractional GPUs and GPU Rightsizing: Stop Wasting Whole Cards
Learn how to reduce Kubernetes GPU waste when average utilization sits at just 5%. This…
GPU Scheduling and Bin-Packing in Kubernetes: Pack More AI onto Every GPU
Learn how Kubernetes GPU scheduling affects utilization, cost, and AI workload density. This guide covers…
Kubernetes Bin-Packing and Node Consolidation: How to Cut Idle Node Cost
69% of Kubernetes clusters over-provision CPU. The default scheduler is partly to blame. Here is…
Kubernetes GPU Autoscaling: Scale GPU Capacity to Real Demand
GPU autoscaling in Kubernetes matches GPU capacity to real AI workload demand. Learn to configure…
GKE Autopilot: How It Works, the Cost Model, and When It Saves
Learn how GKE Autopilot compares with Standard mode for Kubernetes cost optimization. This guide explains…
KEDA: How Event-Driven Autoscaling Cuts Kubernetes Cost
Learn how KEDA enables event-driven autoscaling in Kubernetes using external metrics such as Kafka, Prometheus,…
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