HPA vs. Cluster Autoscaler: Cost Efficiency
Compare HPA and Cluster Autoscaler to reduce Kubernetes costs: when to use each, how they interact, and best practices to maximise savings.
Read moreBlog posts in the Cloud Optimization category
Compare HPA and Cluster Autoscaler to reduce Kubernetes costs: when to use each, how they interact, and best practices to maximise savings.
Read moreCompare serverless and containers for cloud egress, NAT and cross‑AZ fees, plus practical ways to reduce data transfer costs for different workloads.
Read moreTreating servers as disposable, versioned images eliminates configuration drift and enables atomic deployments, simple rollbacks and uninterrupted service.
Read moreCentralise identity, adopt Zero Trust and Policy‑as‑Code, and use AI to reduce over‑permissioning and maintain GDPR/ISO/NCSC compliance across AWS, Azure and GCP.
Read moreCompare ArgoCD’s centralised hub-and-spoke control plane with Flux’s distributed agent model to choose the right GitOps approach for multi-cluster Kubernetes.
Read moreHow to use PVs, PVCs, StorageClasses and StatefulSets to scale stateful apps in Kubernetes while avoiding data loss, I/O bottlenecks and cost overruns.
Read moreAssess infrastructure, applications, skills and security to spot cloud migration gaps and create a prioritised roadmap for a smoother, cost-effective move.
Read moreCompare seven rate-limiting algorithms—token/leaky buckets, fixed and sliding windows, and GCRA—to weigh memory, accuracy and burst handling for APIs and distributed systems.
Read moreHow service discovery and load balancing work together to keep microservices scalable, resilient and efficiently routed across dynamic environments.
Read moreCompare seven cloud cost platforms by features, Kubernetes support, anomaly detection, forecasting and pricing to choose the right tool for FinOps, DevOps or finance teams.
Read moreClear breakdown of vertical scaling in the cloud: when it’s effective, how hardware limits and licensing inflate costs, and practical steps to optimise performance and spend.
Read moreA step-by-step guide to prioritise workloads for cloud migration: assess readiness, map dependencies, size resources and plan phased migration waves.
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