Cloud Optimization | Hokstad Consulting

Cloud Optimization

Blog posts in the Cloud Optimization category

Ultimate Guide to Cloud Commitment Renewals

Prepare and negotiate cloud commitment renewals: forecast demand, identify idle resources, choose the right commitment type and avoid costly auto‑renewals.

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How Pay-As-You-Go Pricing Reduces Cloud Costs

Pay-as-you-go cloud pricing charges only for resources used, prevents overprovisioning and lowers bills through scaling, scheduling and rightsizing for variable workloads.

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Integrating E2E Testing into CI/CD Pipelines

Practical guide to integrating E2E tests into CI/CD: plan workflows, prepare Docker/headless browser infrastructure, choose tools, parallelise tests and troubleshoot flakiness.

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Multi-Cloud Cost Standards: What to Know

Standardise tagging, account design, FinOps and governance across AWS, Azure and GCP to improve visibility and cut multi-cloud spend.

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Cluster Autoscaler Cost Optimisation Tips

Reduce cloud costs with Cluster Autoscaler: set accurate resource requests, tune scale-up/down, optimise node groups, prefer cheaper capacity, and monitor logs.

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AI in CDN Optimisation for E-Commerce

AI improves CDN performance for e‑commerce with predictive caching, smart routing and edge personalisation—cutting latency, raising cache hits, lowering costs.

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Automating ISO 27001 Compliance in Private Clouds

Automate ISO 27001 compliance in private clouds with continuous monitoring, policy-as-code, drift control and automated evidence to speed audits and cut errors.

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Common Cloud Cost Governance Mistakes to Avoid

Avoid five common cloud cost governance mistakes—overprovisioning, poor visibility, inconsistent tagging, egress fees and weak policies with practical fixes.

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Scenario Planning for Cloud Cost Forecasting

Plan best, worst and moderate cost scenarios using driver-based forecasts, what-if analysis and finance–engineering collaboration to reduce cloud budget surprises.

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Top 7 Cloud Cost Anomaly Detection Tools

Stop surprise cloud bills: compare seven anomaly-detection tools, pricing and use cases to spot spikes, automate root-cause analysis and cut cloud waste.

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Pre-Trained AI Models for DevOps Automation

How pre-trained AI models automate DevOps—CI/CD config, anomaly detection, automated testing and cost optimisation, with vendor comparisons and best practices.

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Policy-as-Code: Automating Multi-Cloud Compliance

Policy-as-Code automates governance across AWS, Azure and GCP, turning compliance rules into code enforced in CI/CD pipelines.

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