Cloud Optimization | Hokstad Consulting

Cloud Optimization

Blog posts in the Cloud Optimization category

Impact of Network Latency on Multi-Cloud Applications

Explore how network latency harms multi‑cloud app performance and costs, plus fixes: private links, edge, HTTP/3, eBPF and latency‑aware schedulers.

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Architectural Patterns for Edge High Availability

Compare thin, thick, hybrid, hyperconverged and cloud-adapted edge architectures to build resilient, low-latency systems while managing cost and complexity.

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5 Features to Look for in Cloud Cost Auditing Tools

Compare cloud cost auditing tools by reporting, integrations, anomaly detection, scalability and policy-driven compliance to cut waste and improve visibility.

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How to Reduce Cloud Costs with Kubernetes Storage Management

Unchecked persistent volumes and default premium storage silently inflate cloud bills — right-size PVCs, use tiered StorageClasses and automate retention to stop the waste.

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Cloud vs On-Premises: Cost Comparison for Disaster Recovery

Cloud DR offers low upfront costs but higher long-term bills; on-premises DR needs big initial investment yet often lowers TCO for stable workloads.

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HPA vs. Cluster Autoscaler: Cost Efficiency

Compare HPA and Cluster Autoscaler to reduce Kubernetes costs: when to use each, how they interact, and best practices to maximise savings.

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Serverless vs Containers: Data Transfer Costs

Compare serverless and containers for cloud egress, NAT and cross‑AZ fees, plus practical ways to reduce data transfer costs for different workloads.

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How Immutable Infrastructure Enables Zero Downtime

Treating servers as disposable, versioned images eliminates configuration drift and enables atomic deployments, simple rollbacks and uninterrupted service.

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IAM Policy Design for Multi-Cloud Compliance

Centralise identity, adopt Zero Trust and Policy‑as‑Code, and use AI to reduce over‑permissioning and maintain GDPR/ISO/NCSC compliance across AWS, Azure and GCP.

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ArgoCD vs Flux: Multi-Cluster Kubernetes Support

Compare ArgoCD’s centralised hub-and-spoke control plane with Flux’s distributed agent model to choose the right GitOps approach for multi-cluster Kubernetes.

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Scaling Stateful Workloads: Persistent Storage Guide

How to use PVs, PVCs, StorageClasses and StatefulSets to scale stateful apps in Kubernetes while avoiding data loss, I/O bottlenecks and cost overruns.

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How to Identify Gaps in Cloud Readiness

Assess infrastructure, applications, skills and security to spot cloud migration gaps and create a prioritised roadmap for a smoother, cost-effective move.

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