Cloud Optimization | Hokstad Consulting

Cloud Optimization

Blog posts in the Cloud Optimization category

Top 7 Tools for Workload Orchestration

Seven leading workload orchestration tools compared by deployment, scalability, integrations and pricing to help you pick the right fit.

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AI in Cloud Cost Scenario Modelling

AI-driven scenario modelling makes cloud costs predictable and reduces overspend for clearer budgeting.

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Case Study: Reducing Costs with Alibaba Cloud

UK e-commerce retailer cut cloud spend 32% (£47,000/year) by right‑sizing compute, automating storage tiering and using reserved pricing.

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Ultimate Guide to Spot Instance Savings by Workload

Which workloads suit spot instances, potential savings (60–90%) and practical tactics like checkpointing, diversification and autoscaling.

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5 Steps to Analyse Cloud Costs in Real Time

Real-time cloud cost analysis prevents bill shock and uncovers 20–30% wasted spend through automation, dashboards and alerts.

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Azure Free Tier: Hidden Costs Explained

Azure Free Tier can quickly incur charges from deallocated disks, data egress and logging — see the hidden costs and how to prevent them.

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Dynamic Resource Allocation with Kubernetes

How Kubernetes dynamic resource allocation cuts cloud waste, optimises GPU/CPU use and automates autoscaling with real-time metrics.

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Top Platforms for Multi-Cloud Cost Automation

Multi‑cloud cost automation reduces wasted cloud spend by automating rightsizing, Kubernetes cost allocation and CI/CD budget controls.

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Questions to Ask Before Signing a Cloud SLA

Checklist of uptime, support, security, costs, termination and monitoring questions to review before signing a cloud SLA.

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Defining Business Units for Cloud Cost Allocation

Align business units, enforce tagging and allocate shared services to map cloud spend, boost accountability and cut waste.

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Real-Time Monitoring in Hybrid Cloud Environments

Unified observability across on‑prem and public clouds with OpenTelemetry, RUM, synthetic tests and AI for proactive issue detection.

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AKS vs EKS vs GKE: Kubernetes Support Compared

Kubernetes choice matters: choose EKS for AWS control, AKS for Azure integration, or GKE for automation and AI workloads.

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