Resource Allocation | Hokstad Consulting

Resource Allocation

Blog posts in the Resource Allocation 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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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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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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Benchmarking Containers and VMs for Applications

Compare containers and virtual machines by startup speed, memory/CPU overhead, application performance, density and isolation to inform deployment choices.

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HPA vs. Cluster Autoscaler: Cost Efficiency

Compare HPA and Cluster Autoscaler to reduce Kubernetes costs: when to use each, how they interact, and best practices to maximise savings.

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Top 7 Rate Limiting Algorithms Explained

Compare seven rate-limiting algorithms—token/leaky buckets, fixed and sliding windows, and GCRA—to weigh memory, accuracy and burst handling for APIs and distributed systems.

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Vertical Scaling in Cloud: Cost vs Performance Trade-offs

Clear breakdown of vertical scaling in the cloud: when it’s effective, how hardware limits and licensing inflate costs, and practical steps to optimise performance and spend.

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How to Identify Critical Workloads for Migration

A step-by-step guide to prioritise workloads for cloud migration: assess readiness, map dependencies, size resources and plan phased migration waves.

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Pay-As-You-Go vs Reserved Pricing: Cost Analysis Guide

Compare PAYG and reserved cloud pricing to learn savings, risks and when to reserve versus use on‑demand for lower, more predictable costs.

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Ultimate Guide to Debugging Multi-Cluster Pipelines

How to diagnose and fix performance, resource and configuration issues in multi-cluster CI/CD using metrics, logs and traces.

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Monitoring Event-Driven Systems: Key Metrics

Monitoring event-driven systems demands measuring latency, traffic, errors and saturation — plus MELT and tracing — to avoid silent failures.

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How to Automate Private Cloud Resource Scaling

Automating private cloud scaling with monitoring, IaC and Kubernetes ensures predictable performance and efficient use of limited hardware resources.

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