Resource Allocation | Hokstad Consulting

Resource Allocation

Blog posts in the Resource Allocation category

VPA Best Practices for Kubernetes Clusters

VPA best practices for Kubernetes: install, modes, resource policies, monitoring, and integrating with HPA/Cluster Autoscaler to reduce waste and stabilise workloads.

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AI in Multi-Cloud Resource Optimisation

AI reduces multi‑cloud costs, automates rightsizing and governance, and boosts performance with predictive scaling and unified workload orchestration.

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Kubernetes Preemption: Risks and Best Practices

Manage Kubernetes preemption risks—misconfigured priorities, affinity deadlocks and abrupt terminations—and use PriorityClasses, PDBs, ResourceQuotas and monitoring.

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How to Track Idle Cloud Resources

Practical steps to find and manage idle cloud resources — tagging, monitoring, automation and audits to reduce waste and lower cloud costs.

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How to Design Energy-Efficient Hybrid Cloud Systems

Practical steps to cut energy use in hybrid cloud: audit resources, right-size workloads, use efficient hardware and cooling, and automate monitoring and scaling.

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Multi-Tenant CI/CD Cost Allocation: Challenges and Solutions

Practical strategies and tools to accurately attribute shared CI/CD costs in multi-tenant Kubernetes setups, covering tagging, dashboards and tenancy models.

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AI in Kubernetes Monitoring: Risks and Benefits

AI shifts Kubernetes monitoring from reactive noise to proactive, predictive observability—improving detection and efficiency but requiring extra compute and specialist skills.

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Tuning Big Data Workloads for Cost Efficiency

Cut big data cloud costs by rightsizing, auto-scaling, Spot instances, containerisation and FinOps — save up to 70% without hurting performance.

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Rightsizing Kubernetes Resources: Best Practices

Configure accurate CPU and memory requests and limits, monitor usage with kubectl/Prometheus/Grafana, and use VPA and Cluster Autoscaler to reduce costs and avoid OOMs.

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Native vs Third-Party Tools for Cost Monitoring

Compare native cloud cost tools and third-party platforms for single‑cloud, multi‑cloud and Kubernetes; pros, cons, ROI and when each makes sense.

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Vertical Scaling in Multi-Cluster CI/CD Pipelines

Vertical scaling with VPA optimises multi-cluster CI/CD by right‑sizing CPU and memory to cut costs and speed up deployments.

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AI Tools for Kubernetes Cost Optimisation

AI tools cut Kubernetes costs by automating rightsizing, autoscaling, spot-instance management and multi‑cloud visibility to reduce waste and lower cloud bills.

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