Cloud Optimization | Hokstad Consulting

Cloud Optimization

Blog posts in the Cloud Optimization category

Active-Active vs Active-Passive for Multi-Cloud K8s

Compare active-active and active-passive multi-cloud Kubernetes: cost, RTO/RPO, data consistency and team impact for UK organisations.

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Cloud Budget Forecasting: Real-Time Methods

Compare trend, seasonality, release-driven and AI forecasting to keep cloud spend within actionable error ranges.

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End-to-End Tracing in Kubernetes: 6 Examples

Instrument Kubernetes with OpenTelemetry: six end-to-end tracing patterns, propagation rules, Collector options and common break points.

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AI Resource Allocation: Cost vs. Performance

Compare cost‑optimised, performance‑optimised, balanced and static AI allocation strategies to align latency SLOs, utilisation and spend.

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Scenario Planning for Multi-Cloud Costs

Model cloud spend in GBP using cleaned billing, driver-based forecasts and four reusable scenarios to defend budgets.

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5 Factors for Multi-Region Scaling Costs

Multi-region cloud setups can cost 2–3× single-region: focus on data transfer, regional pricing, redundancy, tooling and autoscaling.

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Top 7 Tools for Cost Management Integration

Compare seven cloud cost management tools, common setup pitfalls and integration checks to cut waste and align finance with engineering.

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How Cache Expiry Reduces Cloud Costs

Match TTLs to content: long for versioned assets, short micro-caches for bursty APIs to reduce origin egress, compute and DB costs.

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Node Pool Autoscaling Policies: Cost vs Performance

Compare autoscaling strategies—conservative, headroom, spot, bin-packing and multi-pool—to balance cloud cost and p95 latency.

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Checklist for Load Balancer Configuration Best Practices

Practical checklist to configure resilient, secure load balancers: layer choice, backends, health checks, TLS, timeouts and failover.

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Multi-Cloud IaC: Cost-Saving Strategies

Make multi‑cloud cost control repeatable: use IaC to enforce sizing, tagging, schedules and policy-as-code to cut wasted cloud spend.

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How to Automate GitOps Repo Maintenance

Automate validation, image updates, drift reconciliation and policy checks to keep GitOps repos clean, low-risk and easy to maintain.

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