Choosing a cloud architecture you will not regret in two years
Most cloud regret is not a technology problem. It is a sizing problem, teams adopting the architecture of a company ten times their size.
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Insights
Practical writing on architecture, AI and delivery. No thought leadership, no predictions, just things we have had to work out.
AI features that survive contact with production
The demo is the easy part. What separates a shipped AI feature from a shelved one is evaluation, fallbacks and a clear notion of failure.
Read article →Modernising a legacy system without betting the company on a rewrite
Big-bang rewrites fail for structural reasons, not because the team was not good enough. Incremental replacement is slower to start and far more likely to finish.
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