Resource Allocation | Hokstad Consulting

Resource Allocation

Blog posts in the Resource Allocation category

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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Hybrid Cloud Orchestration: AI-Driven Scheduling

AI-driven schedulers can cut hybrid cloud cost, latency and energy; pilot them with guardrails to manage drift, overhead and compliance risk.

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Memory Allocation Strategies for Cost-Effective Serverless Apps

Tune serverless memory and timeouts from production metrics; test 2-3 tiers to minimise cost per invocation while meeting p95/p99 latency.

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Data Transfer Costs: Key Metrics for Reporting

Stop hiding cloud egress—separate, normalise and report transfer routes and £ to expose avoidable network spend.

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Top 10 Cloud Cost Reporting Tools 2026

Compare top cloud cost reporting tools for AWS, Azure and GCP — focus on allocation, multi‑cloud, Kubernetes and finance exports.

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Integrating Predictive Models with FinOps Tools

Forecasts only matter if they change money decisions — tie one clean forecast to an owner and push it into budgets, alerts and reviews.

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Rolling Deployment in Kubernetes: A Quick Guide

Practical guide to safe Kubernetes rolling deployments: set probes, handle SIGTERM, tune maxSurge/maxUnavailable, monitor and rollback.

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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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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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Rightsizing Kubernetes Pods: Step-by-Step Guide

Measure 2-4 weeks of usage, set requests and limits from p90–p99, and test under live traffic to cut costs and avoid throttling or OOMs.

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Energy Efficiency in Hybrid vs. Public Clouds

Public cloud often uses less energy per workload; hybrid can be greener when latency, data residency or placement matter.

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