The Cast AI blog
Guides, tutorials, and tips on Kubernetes automation, from cost optimization to cloud security and everything in between.
Kubernetes FinOps: Build Cost Ownership Into Engineering
Learn how Kubernetes FinOps helps teams close the gap between infrastructure spend and actual resource usage. This guide covers the Inform, Optimize, and Operate phases, cost…
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,…
Kubernetes Cluster Autoscaler: How It Works and How to Tune Scale-Up and Scale-Down
Learn how the Kubernetes Cluster Autoscaler works, why it struggles with overprovisioned resource requests, and…
HPA vs VPA: When to Use Each, and Can You Use Both?
HPA scales the number of pod replicas; VPA scales the CPU and memory each pod…
A CTO’s Guide to Kubernetes Cost Optimization
Learn how the Kubernetes Optimization Loop helps engineering teams reduce infrastructure costs while improving unit…
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