Cloud Optimization | Hokstad Consulting

Cloud Optimization

Blog posts in the Cloud Optimization category

Chargeback vs Showback: Choosing the Right Model

Showback vs chargeback explained: when to use each cloud cost model, their pros and cons, and how to move from transparency to billed accountability.

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DevOps Workflow Automation: Tools and Strategies

Automate DevOps with CI/CD, IaC, containerisation and AI to speed delivery, reduce failures and lower IT costs.

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How to Build a Risk Assessment Framework

Step-by-step guide to identify, score and control organisational risks, integrate controls into DevOps and enable continuous monitoring.

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Best Practices for CDN Capacity Planning

Practical guidance on forecasting, regional allocation, load balancing, multi‑CDN and real‑time monitoring to optimise CDN capacity, performance and cost.

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AWS Elastic Disaster Recovery Cost Management Tips

Practical tips to cut AWS Elastic Disaster Recovery costs: optimise disks, choose cheaper EBS types, right-size failover instances and monitor costs.

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11 Ways to Optimise Audit Log Retention Costs

11 practical strategies to cut audit log storage costs—tiering, compression, filtering, sampling, retention policies and automated archiving.

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Crossplane vs Terraform: Kubernetes IaC Comparison

For Kubernetes platforms, favour control‑plane reconciliation for Day‑2 automation and CLI IaC for Day‑0 bootstrapping — often a hybrid approach wins.

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GDPR Compliance in Hybrid Cloud Transfers

Manage GDPR risks in hybrid cloud: map data flows, formalise DPAs, encrypt data, run DPIAs and automate monitoring to prevent fines and breaches.

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How to Evaluate Cloud Cost Tools for Your Business

A practical framework to evaluate cloud cost tools: set goals, run a 30‑day PoC, and assess forecasting, tagging, automation and integrations to reduce cloud spend.

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How Automation Improves Cloud Cost Reporting

Automated cloud cost reporting stops costly errors, uncovers waste, and provides real-time control so teams can focus on high-value work.

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DevOps and Predictive Analytics for Cloud Costs

How predictive analytics and DevOps can forecast cloud spend, optimise resources and cut waste — compares native tools, enterprise platforms and custom ML.

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5 Steps for Accurate Cloud Cost Forecasting

Use 12–18 months of normalised billing data, identify cost drivers, build driver-based forecasts, monitor continuously and review to cut variance to 5–12%.

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