Reading Plan: Effective Feature Management — John Kodumal
Generated by book-diff
Summary
| Category | Count | % |
|---|---|---|
| Novel | 2 | 11% |
| Depth Gap | 14 | 78% |
| Review | 2 | 11% |
| Total chunks | 18 |
Thresholds: novel < 0.5, review >= 0.65
High Priority: Novel Content
These sections have low similarity to anything in your vault.
Cover — pp.1-5 (score: 0.44)
Suggested note: Continuous Delivery Feature Management
John Kodumal Releasing and Operating Software in the Age of Continuous Delivery Eff ective Feature Management ature nt Compliments of John Kodumal E…
Nearest vault note: Tommy Oyarzun (0.44)
Chapter 2. Advice from the Front Lines > … > Integration Testing — pp.29-30 (score: 0.45)
Suggested note: Feature Flag Routing Logic
if (searchEngine ALGOLIA) { return searchAlgolia(query, lastId); } else (searchEngine ES) { return searchES(query, lastId); }…
Nearest vault note: Open Feature Summit (0.45)
Medium Priority: Depth Gaps
You have notes on these topics, but the book goes deeper.
Chapter 1. Feature Management > Test in Production > Ring Deployments — pp.16-17 (score: 0.51)
A typical ring deployment begins by releasing first to internal users. After you have verified that the change has been successful for that set of use…
- Open Feature Summit (0.51)
- Continuous Delivery at Amazon (0.51)
- Team Topologies (0.49)
Chapter 1. Feature Management > Test in Production — pp.12-13 (score: 0.51)
ers can build at the pace of innovation, operations can deliver continuously, product teams can iterate quickly, and marketing can safely release feat…
- SREcon 2023 trip report (0.51)
- ebay feature flags (0.51)
- Continuous Delivery at Amazon (0.51)
Chapter 1. Feature Management > Ship When You’re Ready — pp.10-11 (score: 0.52)
would run that way until it was recompiled, redeployed, or restarted. Modern feature management is different. There are two parts to the seemingly sim…
- Feature Flags (0.52)
- Definition of Done (0.51)
- ebay feature flags (0.49)
Chapter 3. Selecting a Feature Management Platform > … > Polling Versus Streaming — pp.41-42 (score: 0.52)
development process, I have a few recommendations to help you be successful. Design for Scale Teams designing a feature management system need to cons…
- scaling event streaming applications (0.52)
- Justin Abrahms’s Canonical writing test (0.46)
- ebay feature flags (0.46)
Chapter 1. Feature Management > Test in Production > Percentage Deployments — pp.14-15 (score: 0.53)
1 Blue/green deployment is a technique that includes running two identical production environments. Only one of the environments serves production tra…
- Continuous Delivery at Amazon (0.53)
- Open Feature Summit (0.50)
- ebay feature flags (0.49)
Chapter 1. Feature Management > … > Entitlements and Plan Management — pp.22-24 (score: 0.54)
opportunity to harvest this feedback and develop your product to meet the needs of real users. Case Study: User Feedback Honeycomb provides enterprise…
- ebay feature flags (0.54)
Chapter 2. Advice from the Front Lines > Scaling to Large Teams — pp.31-32 (score: 0.55)
ingly, this amnesia kicks in quickly—even if a developer circles back only a week later to delete a flag, it’s time-consuming to remember the original…
- ebay feature flags (0.55)
- Open Feature Summit (0.46)
Chapter 1. Feature Management > … > Safety Valves and Circuit Breakers — pp.18-19 (score: 0.56)
Safety valves are powerful tools that you can design into a system from the outset, or introduce later, after a need has been identified. It’s importa…
- incident severity (0.56)
- Bunsen COE (0.50)
- alarm severity (0.50)
Chapter 2. Advice from the Front Lines > Feature Flags Versus Configuration M… — pp.35-37 (score: 0.59)
When the infrastructure for blue/green deployments is in place, every deploy should follow that pattern. This provides a catch-all rollback plan if an…
- Feature Flags (0.59)
- ebay feature flags (0.55)
Chapter 1. Feature Management > … > Monitoring/Baselines — pp.20-21 (score: 0.66)
Experiment with Everything Feature flags can serve different features or different feature versions to different people, based on rules that you creat…
- Open Feature Summit (0.66)
- ebay feature flags (0.62)
- Book has ~2440w vs vault’s ~1075w on this topic
Introduction — pp.7-9 (score: 0.67)
Introduction Since the Agile revolution in software development, teams have been pushing to move faster and faster every year. Over the past decade, t…
- continuous delivery (0.67)
- Accelerate (0.63)
- Continuous Delivery at Amazon (0.56)
- Book has ~675w vs vault’s ~175w on this topic
Chapter 3. Selecting a Feature Management Platform > Design for Collaboration — pp.43-44 (score: 0.68)
Design for Collaboration The “Mythical Man-Month” is real. The larger the team working on a software project, the greater the communication overhead. …
- Open Feature Summit (0.68)
- ebay feature flags (0.61)
- Book has ~2440w vs vault’s ~1075w on this topic
Chapter 2. Advice from the Front Lines > Feature Flags Versus Blue/Green Deploys — pp.33-34 (score: 0.70)
Integrate After you begin using feature management, answering the ques‐ tion “is this done yet” becomes a bit more complicated. The code might be writ…
- Open Feature Summit (0.70)
- ebay feature flags (0.63)
- Book has ~2440w vs vault’s ~1075w on this topic
Chapter 3. Selecting a Feature Management Platform > Feature Management — pp.39-40 (score: 0.72)
CHAPTER 3 Selecting a Feature Management Platform Feature flags are not a new idea in software development. However, the increasing pace of delivery h…
- Open Feature Summit (0.72)
- ebay feature flags (0.67)
- Book has ~2440w vs vault’s ~1075w on this topic
Likely Review (Skim or Skip)
High overlap with your existing notes.
| Section | Pages | Score | Matching Notes |
|---|---|---|---|
| Chapter 2. Advice from the Front Lines > First Steps with Feature Flags | pp.25-26 | 0.70 | Open Feature Summit, ebay feature flags |
| Chapter 2. Advice from the Front Lines > Testing with Feature Flags > Should I Test All Combinations of Flags? | pp.27-28 | 0.69 | Open Feature Summit, ebay feature flags |
Score Distribution
Score Distribution (top similarity per book chunk):
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