Cloud Optimization | Hokstad Consulting

Cloud Optimization

Blog posts in the Cloud Optimization category

IAM Policy Design for Multi-Cloud Compliance

Centralise identity, adopt Zero Trust and Policy‑as‑Code, and use AI to reduce over‑permissioning and maintain GDPR/ISO/NCSC compliance across AWS, Azure and GCP.

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ArgoCD vs Flux: Multi-Cluster Kubernetes Support

Compare ArgoCD’s centralised hub-and-spoke control plane with Flux’s distributed agent model to choose the right GitOps approach for multi-cluster Kubernetes.

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Scaling Stateful Workloads: Persistent Storage Guide

How to use PVs, PVCs, StorageClasses and StatefulSets to scale stateful apps in Kubernetes while avoiding data loss, I/O bottlenecks and cost overruns.

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How to Identify Gaps in Cloud Readiness

Assess infrastructure, applications, skills and security to spot cloud migration gaps and create a prioritised roadmap for a smoother, cost-effective move.

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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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Service Discovery and Load Balancing: How They Work Together

How service discovery and load balancing work together to keep microservices scalable, resilient and efficiently routed across dynamic environments.

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Cloud Cost Tools: Features Comparison Guide

Compare seven cloud cost platforms by features, Kubernetes support, anomaly detection, forecasting and pricing to choose the right tool for FinOps, DevOps or finance teams.

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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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Forecasting Cloud Costs with Predictive Analytics Models

Forecast cloud spend with trend, driver and hybrid predictive models to reduce variance, align budgets and trigger alerts for unexpected cost spikes.

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Ultimate Guide to Scaling Stateful Applications

Guide to scaling stateful apps on Kubernetes: sharding, replication, StatefulSets, persistent storage, monitoring and autoscaling best practices.

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Argo Rollouts: Traffic Shaping for Kubernetes Deployments

Run canary and blue‑green deployments with Argo Rollouts: percentage, header and mirror traffic shaping, metrics-driven automation and automated rollbacks.

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