Azure IaaS: How to design, build, and optimize cloud infrastructure for long-term cost efficiency
This blog post is the third part of a blog series called Azure IaaS which will share best practices and guidance to help you build a trusted infrastructure platform—from performance, resiliency, and security to scalability and cost efficiency.
As organizations modernize infrastructure, migrate mission-critical workloads, build cloud-native applications, and scale AI—cost efficiency remains a foundational principle of cloud architectures.
Yet cloud costs are rarely driven by a single decision. More often, across Azure Infrastructure-as-a-Service (IaaS) environments, they are the result of many compounded architectural choices across compute, storage, and networking.
Common examples include overprovisioning infrastructure when selecting a larger virtual machine than a workload requires or keeping infrequently accessed data on premium storage, building resilient architectures that introduce unnecessary overhead, or collecting and retaining more operational data than is needed. Individually, these decisions may seem minor, but over time they can significantly impact both cost and operational efficiency.
These...
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