The Cast AI blog
Guides, tutorials, and tips on Kubernetes automation, from cost optimization to cloud security and everything in between.
GKE Cost Optimization: A Guide to Cutting Waste in 2026
GKE cost optimization means cutting GKE Kubernetes spend across nodes, pods, and purchasing without hurting…
EKS Cost Optimization: The Engineer’s Guide for 2026
EKS cost optimization means cutting EKS Kubernetes spend across nodes, pods, and purchasing without hurting…
Kubernetes Autoscaling for Cost Optimization: HPA, VPA, KEDA, and Node Autoscaling Explained
Kubernetes autoscaling adjusts capacity to demand at three levels: pods (HPA scales replicas, VPA adjusts…
Yes, Cast AI Optimizes at the Workload Level: How PrecisionPack Rightsizes Pods
Cast AI’s PrecisionPack rightsizes workloads based on actual container usage, reducing overprovisioned CPU and memory…
Does Cast AI Lock You In? Node Provisioning, GitOps and What Happens If You Leave
The vendor lock-in question comes up early in Cast AI evaluations. It deserves a direct…
Karpenter Best Practices: 10 Tips for Production Clusters
Karpenter’s defaults aren’t production-ready. This guide covers 10 specific practices to prevent real cluster failures:…
Demystifying Quantizations: Guide to Quantization Methods for LLMs
Quantization is key to running large language models efficiently, balancing accuracy, memory, and cost. This…
Kubernetes Requests and Limits: How to Right-Size Pods Without Breaking Reliability
In Kubernetes, requests define the resources a pod is scheduled for, while limits cap usage.…
LLM Inference Cost Optimization: Run AI Inference for Less
Most LLM inference spend is idle GPU capacity. This guide covers five concrete optimization levers…
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