๐——๐—”๐—ง๐—” ๐—ฆ๐—ง๐—ฅ๐—จ๐—–๐—ง๐—จ๐—ฅ๐—˜๐—ฆ ๐—”๐—ก๐—— ๐—”๐—Ÿ๐—š๐—ข๐—ฅ๐—œ๐—ง๐—›๐— ๐—ฆ
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It contains data structures & algorithmic problem solutions.
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๐Ÿ“š A book worth reading if you build backend systems ๐Ÿ‘‡

๐Ÿง  There's a difference between knowing Kafka and understanding distributed systems.

You can build APIs, configure Kafka consumers, and work with databases every dayโ€”but can you explain what happens when things go wrong?

โ†’ Why doesn't Kafka automatically guarantee that your business operation happens only once?
โ†’ Why can two database replicas disagree even when both are healthy?
โ†’ Why can adding more servers make a system more expensive without fixing the real bottleneck?

These are the kinds of questions that separate writing backend code from understanding the systems behind it.

I've personally read part one of the original edition of a book that explores these concepts in depth. What makes it worth exploring is that it focuses on the reasoning behind data systemsโ€”not just the tools or frameworks.

There's now an updated second edition, too.

If you're working with Java, Spring Boot, Kafka, or microservicesโ€”or preparing for senior backend interviewsโ€”this is one resource I'd suggest looking into.

๐Ÿ“˜ Curious what the updated edition covers? Take a look here:
https://link.amazon/B0iadbjlH
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