AWS and Azure reference architectures.
Reference architectures are the vendor-published patterns for assembling cloud services into a known-good shape — a three-tier web application, an event pipeline, a landing zone. They encode decisions about networking, identity and availability that would otherwise be made from scratch on every project.
Where AWS and Azure reference architectures fits on a long engagement.
Reference architectures are most valuable as a starting position and as a review checklist. They cover the things teams forget under delivery pressure — network segmentation, least-privilege roles, multi-availability-zone placement — and they give an auditor something recognisable to assess against. Starting from one is almost always cheaper than starting from a blank diagram.
They are also written by the vendor, which shows. They assume the vendor's managed services at every layer, they are specified for availability requirements most products do not have, and following one uncritically produces a bill out of proportion to the workload. The useful skill is knowing which parts of the pattern the actual requirements justify.
What an assigned team does with AWS and Azure reference architectures.
The gap between a reference architecture and a running system is where the cost sits, and it widens over time as the real system drifts from the diagram. Keeping the two aligned is ongoing rather than a delivery milestone.
That alignment, along with the cost discipline that goes with it, is platform work assigned under devops as a service alongside the application capacity it supports.
What we use AWS and Azure reference architectures for.
- A defensible starting point Networking, identity and availability decided from a reviewed pattern rather than improvised under deadline.
- Landing zones for a new estate Account structure, guardrails and baseline policy established before workloads make them expensive to change.
- Trimming a pattern to the real requirement Deciding which availability and redundancy choices the workload actually justifies, before the bill arrives.
How AWS and Azure reference architectures capacity is assigned.
Cloud architecture capacity is agreed as a committed monthly capacity across the platform discipline, with the cost implications of each pattern made explicit at scoping rather than discovered in the first invoice.
Tell us what your roadmap needs AWS and Azure reference architectures for.
A service delivery manager replies with the disciplines we would assign, the monthly capacity and what the first month looks like.
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