July 2025
Intermediate to advanced
212 pages
7h
English
Content preview from AI-Native Software Delivery
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Chapter 8. Feature Management and Experimentation
In Chapter 7, we explored the challenges and best practices for deploying software to production. We focused on strategies to mitigate risk and ensure reliability, looking at progressive deployment strategies, paired with robust rollback mechanisms. This approach helps us identify issues in new software versions early to safeguard the integrity of production systems. Recall that we touched on feature flags as one important progressive deployment strategy; feature flags are a mechanism to deploy individual features within a single version of software in a progressive way. In this chapter, we will continue the discussion on the use of feature flags as a tool for managing feature deployment.
We will also dive deep into another role of feature flags—how they can drive experimentation. While feature flags are great for reducing deployment risks and enabling progressive delivery, their impact goes far beyond that. When enhanced with AI, they empower you to run experiments to learn about your users, optimize your feature design ideas, validate hypotheses, and make data-driven decisions that improve product usability, engagement, and overall business outcomes.
Feature management and experimentation management are closely related—feature flags are the fundamental on/off switches that control whether a specific piece of functionality is enabled. Feature management systems provide the infrastructure for controlling how and when features are ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.