Cloud Optimization | Hokstad Consulting

Cloud Optimization

Blog posts in the Cloud Optimization category

Zero-Trust Policy Enforcement: Common Pitfalls

Prevent zero-trust enforcement failures in multi-cloud: unify identity, segment workloads, boost visibility and roll out policies gradually.

Read more

Usage-Based Cloud Cost Forecasting: Methods

Practical methods to forecast usage-based cloud costs using historical data, seasonality, predictive models and multi-cloud normalisation.

Read more

Checklist for Using Spot Instances on AWS, Azure, GCP

Checklist for running spot instances on AWS, Azure and GCP: workload suitability, interruption handling, resilience and cost optimisation.

Read more

Optimizing Reserved Instances for Mixed Workloads

Commit to proven baseline compute, layer RIs and Savings Plans, and keep 20–40% on‑demand to balance savings and flexibility.

Read more

Metrics vs. Logs: Cost Implications in Observability

How metrics and logs drive observability costs and practical steps to cut spend: limit cardinality, filter logs, and use tiered storage.

Read more

Federated Kubernetes: Scheduling for Hybrid Cloud

Federated Kubernetes lets you treat multiple clusters as one, trading added complexity for cross-region resilience, compliance and burst-to-cloud capacity.

Read more

Machine Learning on AWS, Azure, and GCP

Compare AWS SageMaker, Azure ML and GCP Vertex AI for framework support, tooling, cost and integration to pick the right cloud for ML.

Read more

Cloud Networking Pricing Models Explained

Overview of egress, cross‑zone, CDN and private connectivity costs with practical tactics to reduce UK cloud networking spend.

Read more

5 Feature Selection Methods for Cloud Spend Models

Compare five feature-selection methods to improve cloud cost forecasts, reduce complexity and boost accuracy.

Read more

Top 5 Metrics for Cloud Cost and DevOps Efficiency

Measure five DevOps-focused cloud metrics—cost per deployment, unit cost, utilisation, deployment speed and MTTR—to cut cloud spend and boost delivery.

Read more

Checklist for API Gateway Performance Tuning

Practical checklist to reduce API gateway latency and costs: connection reuse, compression, caching, tuning, monitoring and scaling.

Read more

EKS Cost Optimisation with Spot Instances

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

Read more