Cloud Optimization | Hokstad Consulting

Cloud Optimization

Blog posts in the Cloud Optimization category

Cloud Cost Allocation: Governance Framework Basics

Standardised tagging, automated guardrails and cross-team FinOps turn billing into accountability, curb cloud sprawl, attribute 90%+ of costs and cut waste.

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Case Study: Multi-Cluster Kubernetes for Zero Downtime

How multi-cluster Kubernetes reduces downtime, boosts scalability and cuts cloud costs with ArgoCD, Terraform, Cloudflare and automated monitoring.

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How to Automate Private Cloud Resource Scaling

Automating private cloud scaling with monitoring, IaC and Kubernetes ensures predictable performance and efficient use of limited hardware resources.

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10 Integration Testing Tips for CI/CD Pipelines

Practical tips to speed up and stabilise integration testing in CI/CD: automate tests, use containers, run tests in parallel, apply TIA and manage test data with IaC.

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Argo Rollouts for Traffic Management: Guide

Guide to using Argo Rollouts for canary, blue‑green and progressive traffic control in Kubernetes with service mesh and metrics integration.

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AI in Event-Driven DevOps Workflows

AI-driven event-based DevOps: predictive triggers, autonomous agents, real-time scaling and policy guardrails to reduce MTTR and speed deployments.

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Best Practices for Multi-Cloud CI/CD Pipelines

Practical guidance to standardise tools, centralise secrets and optimise costs while scaling CI/CD across AWS, Azure and Google Cloud.

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CDN Optimisation for Video Streaming Analytics

How to reduce buffering, shorten start-up times and cut costs with data-driven CDN strategies: real-time monitoring, multi-CDN, AI caching and edge tuning.

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Load Balancing vs Auto Scaling: Cost Comparison

Load balancers add predictable hourly fees, while auto scaling cuts compute waste — combining both usually delivers the best performance-to-cost balance.

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How to Automate Spot Instance Management

Automate spot instance provisioning and interruption handling with Auto Scaling, infrastructure-as-code and orchestration tools to cut cloud costs and keep services reliable.

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Cloud Pricing Models: Study on Scalability Trends

Analysis of cloud pricing models, waste drivers and practical fixes - PAYG, Reserved and Spot strategies, autoscaling and AI-driven right-sizing cut costs.

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Case Study: CI/CD Cost Reduction with Spot Instances

Spot instances can cut CI/CD compute costs by up to 60% while preserving performance through phased migration, instance diversification and automated retries.

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