Cloud Optimization | Hokstad Consulting

Cloud Optimization

Blog posts in the Cloud Optimization category

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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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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Shared Cloud Costs: Dev vs Testing Allocation

Allocate shared cloud costs between dev and test with automated shutdowns, ephemeral environments, autoscaling and better tagging.

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How Compliance Automation Reduces Cloud Costs

Automated compliance enforces policies, prevents misconfigurations and idle resources, and cuts cloud spend by up to 35%.

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Scaling Microservices with Self-Healing Systems

Self-healing systems detect, diagnose and remediate microservice failures to cut downtime, costs and on-call fatigue.

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AWS vs Azure vs GCP: Audit Logging Features

Centralise audit logs to reveal who did what, when and where—align retention, access and cost with compliance.

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Istio Upgrade Strategies for Large-Scale Systems

Practical, low-risk strategies for zero‑downtime Istio upgrades in large Kubernetes environments using canaries, parallel control planes and monitoring.

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Best Practices for Multi-Cluster Rightsizing in Kubernetes

Reduce cloud costs and boost reliability across multiple Kubernetes clusters with rightsizing, autoscaling and Policy-as-Code.

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Best Practices for Multi-Cluster Traffic Management

Scale and secure multi-cluster Kubernetes traffic with global load balancing, mTLS, service mesh and failover patterns.

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