Insights
Clear thinking on technology decisions
Practical writing on data, AI, cloud and product engineering, for founders and the teams that build with them. Written from practice by the engineers and advisers at Nexstella.
01 Latest
Latest posts
Nexstella Insights covers the technology decisions founders and growing businesses face, from data and AI to cloud, product and modernization.
02 Topics
Topics
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Data and analytics
How to collect, model and use business data, from the first pipeline to the reports and real-time systems people rely on.
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Generative and agentic AI
Where generative and agentic AI fit a business problem, how to build them safely, and when simpler automation is the better answer.
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MLOps and LLMOps
Running models and language-model features in production: evaluation, deployment, monitoring and the platform work behind them.
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Cloud and platform engineering
Cloud foundations, delivery pipelines and running costs: the platform decisions that keep systems reliable as they grow.
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Product engineering
Taking a product from an idea to a first release and beyond: scope, architecture, quality engineering and the build itself.
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Modernization and integration
Improving the systems a business already runs: what to keep, what to change, and how to connect it all without unnecessary disruption.
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Security, governance and responsible AI
Security, data governance and responsible AI as part of everyday engineering, with frameworks treated as alignment, not certification.
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Technology leadership
Technology strategy, architecture choices and engagement models: how to make technology decisions with an experienced partner.
03 How we write
How we write
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From practice
We write from the way we work, and we say what we would do and why, including when the answer is to wait.
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No names, no borrowed results
We do not name clients, and we do not publish results we cannot show. Engagement stories are composites.
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A clear next step
Each post ends with a next step you can take, whether or not that step involves us.