Cloud decisions, with the context they need.
Cloud strategy becomes useful when it reaches the workload. A decision about where a system runs affects its latency, data access, operating cost, and recovery options.
We examine cloud architecture through those practical questions, helping readers understand what a platform choice means after deployment.
Explore CloudArchitecture and placement
Explore public cloud, private infrastructure, hybrid environments, and the dependencies between them. Assess placement through workload requirements rather than a single preferred model.
Economics beyond the headline price
Understand how utilization, data movement, storage, operational work, and service commitments shape the cost of running a system.
Resilience that can be tested
Follow analysis of dependency failures, backup design, recovery procedures, and the operational limits of automation.
Cloud infrastructure for AI
Examine how model serving, retrieval, accelerator capacity, and data access change infrastructure planning.
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What is hybrid cloud coverage about?
It examines how organizations connect and operate workloads across different infrastructure environments, including the resulting security and management demands.
Does this section recommend one provider?
The focus is on requirements and trade-offs. A useful evaluation starts with what a workload needs and how a platform meets those needs.