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Practical guides on cloud, data and AI on AWS: what breaks, what it costs and what to fix first. No sign-up needed.
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Peak readiness on AWS: a 12-week plan for commerce platforms
A 12-week peak readiness plan for commerce platforms on AWS: forecast, order-path limits, load tests, capacity reservations, graceful degradation and event runbooks.
SaaS · Field guideCost per customer in a multi-tenant SaaS on AWS
How SaaS companies measure AWS cost per customer in pooled, siloed and mixed tenancy models, and the architectural reasons it drifts upward.
FinOps · Field guideCost per transaction on AWS: how to measure it and why it drifts
A practical method for payments companies to measure AWS cost per transaction, allocate shared costs and find the architectural reasons unit cost drifts upward.
Payments · ArticleWhat your bank partner will ask about your AWS resilience
The resilience, change-control and supplier questions payments companies should expect from sponsor banks and partners, and the evidence that answers them.
Data & AI · Field guideHuman approval for AI in payments operations: a design pattern
A practical pattern for using generative AI in payments operations: read-only tools, approval gates, evidence logging, evaluation sets and a staged rollout.
Payments · Field guideA reference architecture for payment reconciliation on AWS
How to design a reliable, replayable reconciliation pipeline on AWS that matches ledger, processor settlement and bank data, and turns breaks into an exception workflow.
Data & AI · ArticleFive signs your data platform is not ready for AI
Five practical signals that an AI initiative will stall on data, and what to fix first for one use case before choosing a model.
FinOps · Field noteCloud cost is an architecture problem
Why rightsizing and discounts recover cloud savings once, and why sustained savings come from architecture, data design and ownership.
Data & AI · Field noteYour AI project is a data project with a model attached
Why most stalled AI initiatives fail on four data questions, and why our AI work starts with data readiness rather than with a model.
Commercial · ArticleFixed scope or time and materials: how to buy cloud consulting
When fixed-scope engagements protect the buyer, when time and materials is the better choice, and what to put in the statement of work either way.
Commercial · Field noteWhy we sell a decision before a program
Why a short, fixed-price assessment is a better first purchase than a large implementation program, for the client and for the provider.
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