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Observability Engineering, 2nd Edition
book

Observability Engineering, 2nd Edition

by Charity Majors, Liz Fong-Jones, George Miranda
June 2026
Intermediate to advanced
628 pages
18h 11m
English
O'Reilly Media, Inc.
Content preview from Observability Engineering, 2nd Edition

Chapter 23. Organizational Learning Speed is Now Your Biggest Constraint: An Open Letter to CTOs

The most disruptive consequence of the AI era isn’t faster code; it’s that your organization’s learning speed has become its single greatest bottleneck. In this chapter, we’ll address two uncomfortable truths: (1) in an AI era, the new constraint is how fast your org can learn, and (2) the biggest drag on learning speed in most orgs is unpaid sociotechnical debt.

Like technical debt, sociotechnical debt comes from choosing quick and easy solutions in the moment that create more work later. Most technology shifts have required a corresponding change in how people work to actually succeed. But changing behavior is often much harder than changing tools. Organizations that haven’t made those behavioral changes have accumulated inefficient processes, misaligned leadership, and unresolved cultural problems.

These debts show up as reduced speed, engagement, and flexibility. Left alone, they can limit a company’s ability to grow, learn, compete, and ultimately survive in fast-moving markets. For most organizations, this debt hasn’t been a dealbreaker—yet. Most know it’s there, but they’ve worked around it. The common attitude is: “we’ll fix it later.”

Boards (and competitive threats) have been pushing execs to develop an AI strategy, so they can capitalize on faster delivery. And all that accumulated debt is now about to collect a lot of interest, because:

  • In the AI era, software delivery ...

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Publisher Resources

ISBN: 9781098179915Errata Page