Optimising Data Analytics with Spot Instances
Cut cloud analytics costs up to 90% by running fault‑tolerant workloads on spot instances while protecting data with external storage and mixed on‑demand strategies.
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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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