Cloud Optimization | Hokstad Consulting

Cloud Optimization

Blog posts in the Cloud Optimization category

Edge and Multi-Region: Autoscaling Strategies

Hybrid autoscaling is essential for edge and multi-region systems—combine predictive forecasts with reactive triggers to cut downtime and meet strict SLAs.

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Top 7 Tools for Monitoring and Reducing Network Latency

Compare seven tools to monitor and reduce network latency, covering features, scalability and pricing—from free tests to enterprise monitoring.

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IoT Data Encryption for Hybrid Cloud Systems

Encrypt IoT data across the hybrid cloud lifecycle — device, transit, storage and processing — using TLS/AES, hardware key storage and automated UK GDPR compliance.

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How to Manage Hybrid Cloud Scaling Costs

Practical steps to control hybrid cloud scaling costs: monitor spend, rightsize resources, automate scaling, use reserved and spot pricing, and reduce data transfer.

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Cost-Aware Autoscaling for AI Workloads

Tie AI autoscaling to costs and performance: use predictive scaling, workload tiering, SLOs and budget guardrails to cut GPU spend by 30–50%.

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Checklist for Cost-Efficient Scaling in the Cloud

Audit usage, right‑size resources, automate scaling and enforce governance to cut cloud costs without reducing reliability.

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Common Workflow Monitoring Mistakes and Costly Impacts

Avoid common workflow monitoring mistakes that inflate costs and slow deployments. Prioritise key metrics, refine alerts and automate cost controls.

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How Spot Instances Reduce Multi-Cloud Costs

Spot instances can cut multi‑cloud compute costs by up to 90% using spare capacity, automation and a mixed capacity strategy while managing interruption risk.

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Istio Service Mesh: Testing Best Practices

Guide to testing a service mesh: validate configs, verify traffic routing and resilience, use observability, benchmark performance and add checks to CI/CD.

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Optimising Data Analytics with Spot Instances

Cut cloud analytics costs up to 90% by running fault‑tolerant workloads on spot instances while protecting data with external storage and mixed on‑demand strategies.

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Open Source vs Proprietary CI/CD: Cost Comparison

Compare total cost of ownership for open-source and proprietary CI/CD — licensing, infrastructure, maintenance, and when each option saves UK teams money.

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5 Metrics to Measure CI/CD Performance

Five CI/CD metrics—deployment frequency, lead time, change-failure rate, MTTR and pipeline duration—to spot bottlenecks, cut costs and boost developer productivity.

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