AWS Cost Optimization: Rightsizing, Savings Plans, Storage and Data Transfer
A five-step AWS cost optimization framework covering rightsizing, Savings Plans, Spot, storage, data transfer, databases and governance, with an illustrative USD example.
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27 articles in Cloud, DevOps & Azure
A five-step AWS cost optimization framework covering rightsizing, Savings Plans, Spot, storage, data transfer, databases and governance, with an illustrative USD example.
How FinTech companies should compare AWS, Azure and Google Cloud: selection criteria, shared responsibility for compliance, a reference architecture, resilience and exit planning.
What Azure SRE Agent does, how it works with Azure monitoring, incident platforms and code, an incident walkthrough, governance controls and a safe…
A FinOps playbook for Kubernetes cost optimization on AKS, EKS and GKE: where cost goes, allocation by team, ten optimization levers, an illustrative…
How to modernize a legacy recruitment platform in the cloud: common problems, target architecture, responsible AI in hiring, candidate data privacy and a…
Indicative 2027 cloud application development costs in the UK in GBP, how the delivery model changes cost, running costs, UK-specific requirements and a…
How to design cloud infrastructure for scalable AI: workload types, compute choices from model APIs to GPU clusters, serving at scale, cost controls…
How to achieve cloud portability across AWS, Azure and Google Cloud: levels of portability, a portable-core architecture, equivalent services, trade-offs and a tested…
How health insurers modernize claims systems in the cloud: target architecture, a phased roadmap, HIPAA transaction standards, where AI fits and how to…
An end-to-end playbook for zero-downtime cloud migration: database replication, preparing the application, gradual traffic shifting, rollback planning and a cutover checklist.
A practical framework for deciding, workload by workload, whether to migrate to the cloud or stay on-premises: TCO, elasticity, compliance, latency, hybrid patterns…
Cloud infrastructure patterns for running multi-agent systems at scale: queues, durable orchestration, stateless workers, model gateways, idempotent tools and the metrics that matter.
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