Cost Management | Hokstad Consulting

Cost Management

Blog posts in the Cost Management category

EKS Cost Optimisation with Spot Instances

Cut EKS compute costs using Spot Instances, Karpenter/Autoscaler, interruption handling and node strategies for resilient savings.

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Data Replication: Cost vs Performance

Compare replication strategies, storage tiers and network costs to balance performance with cloud expenses.

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Cloud-Native Services for FinOps Compliance

Automate tagging, budgets, policy enforcement and audit-ready reporting with cloud-native tools for FinOps compliance and cost control.

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Custom Strategies for Multi-Cloud Pricing Negotiation

Cut multi-cloud overspend with consolidated spend data, workload rightsizing, egress negotiations and flexible contract terms.

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Spot Instances vs Reserved Instances for CI/CD Scaling

Balance cost and reliability in CI/CD by using Reserved Instances for baseline capacity and Spot Instances for burst savings.

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AWS Cost Allocation Tags: Best Practices

Plan, enforce and analyse AWS cost allocation tags with practical naming, governance, automation and reporting best practices.

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Ultimate Guide to CDN Billing Insights

How CDN charges work and how to cut bills: bandwidth, request fees, cache misses, regional pricing, optimisation and monitoring.

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Cost Analysis for Multi-Cloud Workloads

Tactical guidance to reduce multi‑cloud spend: rightsizing, standardised tagging, centralised billing and egress optimisation.

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5 Steps to Set Up GCP Snapshots for Disaster Recovery

Practical five-step guide to plan, create, automate and test GCP snapshots for reliable, cost‑aware disaster recovery.

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Data Access Patterns: Cost vs Performance

Choose data access patterns by workload — how row, column, key-value, time-series and graph choices drive cloud costs and performance.

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Top CI/CD Patterns for Hybrid Cloud Environments

Centralised CI/CD with distributed runners, IaC and container workflows for secure, consistent hybrid cloud delivery.

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Data Replication for Disaster Recovery: Cost Tips

Reduce disaster-recovery expenses by tiering data, matching sync methods, optimising storage, testing affordably and monitoring costs.

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