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FinOps and Cost Optimisation for AI Storage in Kubernetes Environments
Practical FinOps strategies for controlling AI storage costs in Kubernetes: orphaned PVC detection, TCO modeling, and cost attribution.
VMware to Kubernetes Migration Playbook Using KubeVirt and Storage Rebalancing
Complete migration playbook for moving VMware VMs to Kubernetes using KubeVirt. Covers vMotion alternatives, DRS equivalents, phased strategy, and storage rebalancing.
Business Continuity and Disaster Recovery Strategies for Kubernetes Storage
Strategic framework for Kubernetes BC/DR: changed block tracking for efficient backups, sync vs async replication, and RPO/RTO planning for regulated industries.
Implementing High Performance Storage and Changed Block Tracking in Kubernetes
Step-by-step guide to implement NVMe storage and Changed Block Tracking in Kubernetes. Includes YAML examples, benchmarking, and troubleshooting guidance.
Enterprise Kubernetes Storage Vendor Ecosystem Evaluation Framework
Objective evaluation framework for enterprise Kubernetes storage solutions covering Nutanix NDK, Portworx, JuiceFS, Pure FlashArray, OpenShift Data Foundation, and Dell PowerStore with MLPerf benchmarks.
Comparing Cloud Provider Kubernetes Storage Solutions for Machine Learning
Compare Azure Container Storage, GKE Managed Lustre, and AWS FSx for Kubernetes ML workloads. Performance benchmarks, cost analysis, and decision frameworks for CTOs.
AI Training and Inference Storage Performance Requirements Benchmarked
Technical analysis with MLPerf benchmarks revealing exact IOPS, throughput, and latency requirements for AI training and inference workloads.
Understanding Container Storage Interface Limitations for AI and Stateful Workloads
Why standard CSI can’t handle AI training workloads. Learn the architectural mismatch between CSI’s stateless design and modern AI/ML storage requirements.