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.
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Blog posts in the Cloud Optimization category
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.
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Cloud Networking Pricing Models Explained
Overview of egress, cross‑zone, CDN and private connectivity costs with practical tactics to reduce UK cloud networking spend.
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5 Feature Selection Methods for Cloud Spend Models
Compare five feature-selection methods to improve cloud cost forecasts, reduce complexity and boost accuracy.
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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.
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Checklist for API Gateway Performance Tuning
Practical checklist to reduce API gateway latency and costs: connection reuse, compression, caching, tuning, monitoring and scaling.
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EKS Cost Optimisation with Spot Instances
Cut EKS compute costs using Spot Instances, Karpenter/Autoscaler, interruption handling and node strategies for resilient savings.
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Best Practices for Data Access Optimisation in DevOps
Embed observability, optimise queries, caching and storage, and add CI/CD checks and AI monitoring to cut latency and cloud costs in DevOps.
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Data Replication: Cost vs Performance
Compare replication strategies, storage tiers and network costs to balance performance with cloud expenses.
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Cloud-Native Services for FinOps Compliance
Automate tagging, budgets, policy enforcement and audit-ready reporting with cloud-native tools for FinOps compliance and cost control.
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Custom Strategies for Multi-Cloud Pricing Negotiation
Cut multi-cloud overspend with consolidated spend data, workload rightsizing, egress negotiations and flexible contract terms.
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Spot Instances vs Reserved Instances for CI/CD Scaling
Balance cost and reliability in CI/CD by using Reserved Instances for baseline capacity and Spot Instances for burst savings.
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