Insights
What we're learning, and where the work is going.
Articles, podcasts, and events from the team at Sirrus7.
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FROM THE FIELD · CASE STUDY
When the Math Says 60 Years
A leading US wireless carrier had hundreds of millions of lines of Java code stuck on Java 8. Internal leadership had done the math honestly: 5,500 engineers, fully allocated, would take roughly 60 years to bring the estate current.
FROM THE FIELD · CASE STUDY
The Right Tool Still Needs the Right Foundation
Standardizing on a single observability platform was the right call. Getting there without breaking the budget required rethinking the architecture — twice.
FROM THE FIELD · CASE STUDY
You Don't Have to Boil the Ocean
A legacy system past end-of-life, built on technologies no longer supported, relied on by more than 20 teams who couldn't agree on what came next. The way we got it moving wasn't what anyone expected.
EVENT · DISPATCH
The AI Readiness Gap Is Bigger Than You Think
Executives are excited. Boards are demanding action. And almost nobody has the data infrastructure, governance, or modernized stack to back any of it up. We saw this pattern play out at MURTEC 2026 — and it has nothing to do with restaurants.
THE CONTEXT WINDOW · EPISODE
You Rob Banks Because That's Where the Money Is
Reinforcement learning vs. LLMs, the iron triangle of modernization, and why AI might be quietly affecting the next generation of expert engineers.
THE CONTEXT WINDOW · EPISODE
Is AI Actually Intelligent? The Wrong Question and the Right One
Sentience, liability, junior developers, and what actually happens to the job market.
FROM THE FIELD · CASE STUDY
When a 6-Month Project Is 15 Months Late
A non-technical executive is partway through a software project that the vendor told them would take six months. They are now fifteen months in and starting to wonder whether it ever will ship.
THE CONTEXT WINDOW · EPISODE
We're Here, We're Asking, and We Don't Have All the Answers
What we learned from recording our first episode, and why the most honest thing you can say about AI right now is that no one has it fully figured out.