October 2025
Intermediate to advanced
360 pages
10h 23m
English
Content preview from Troubleshooting Java, Second Edition
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13 Measuring data consistency and transactions
This chapter covers
- Identifying and troubleshooting data inconsistencies across services
- Tracking multistep transactions using trace IDs and audit logs
- An explanation why coordination breaks down in distributed workflows
- Measuring consistency guarantees using sampling, invariants, and reconciliation
In a perfect system, data is always in sync. Every service sees the same state, updates happen atomically, and no user gets confused. In real life? Not so much.
In a distributed environment, consistency is a moving target. Services communicate over networks, store state independently, and occasionally forget to invite each other to the transaction. You’ll see orders that were paid but not shipped, ...
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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.
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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.