Cost Management | Hokstad Consulting

Cost Management

Blog posts in the Cost Management category

Key Metrics for Multi-Cloud Application Monitoring

Six core metrics—latency, traffic, UX, uptime, capacity and cost—with thresholds and standard labels for consistent multi‑cloud monitoring.

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How to Use Terraform for Multi-Cloud IaC

Practical guidance on structuring Terraform for multi-cloud: split state, simple modules, secure identities and cost controls.

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5 Ways to Cut CDN Costs for Video Streaming

Practical steps to reduce video CDN bills: optimise cache keys and TTLs, add origin shielding, tune encoding/ABR, use multi‑CDN routing and monitor £/GB.

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Study: Cross-Cloud Data Transfer Costs and Performance

Don’t pick the cheapest cross-cloud path unless it meets latency, throughput and reliability—egress costs and instability add up fast.

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What Is Pay-As-You-Go Cloud Pricing?

Clear guide to PAYG cloud billing in £: how usage is metered, when PAYG fits, cost risks and controls like tagging and rightsizing.

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Serverless Savings: Spot Instance Use Cases

Save 40-70% by using serverless control with Spot compute for interrupt-tolerant batch, media and ML workloads.

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Public vs Private Clouds: Cost Automation Compared

Compare how public cloud cuts live usage spend while private cloud boosts utilisation and lowers long‑term unit costs.

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GitLab CI/CD and Kubernetes: Best Practices

Tight access, versioned configs and progressive rollouts cut deployment risk and cloud spend.

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Best Practices for Observability in Microservices

Standardise telemetry, alert on user impact, trace critical flows and control telemetry volume to get observability working at scale.

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Dynamic Chargeback Models for Cloud Resources

Link elastic cloud spend to teams using time-based usage, simple allocation rules, enforced tags and automated invoice reconciliation.

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4 Risk Mitigation Strategies for Release Planning

Score change risk, schedule by risk, use staged rollouts, rehearse rollback and monitor live metrics to keep releases safe.

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Ultimate Guide to Event-Driven Scaling with KEDA

Scale Kubernetes on real demand using event signals, cut idle compute with scale-to-zero, and avoid cold starts and flapping.

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