Elasticsearch is a powerful, open-source, distributed search engine which is perfect for your system design interview with companies like Meta, Google, Amazon, and others. Walk through how to use Elasticsearch, pitfalls, how it works under the covers, and how you can use its design to inform your own.

00:50 Introduction
02:50 Search
04:24 Core Concepts
05:48 Ingesting Documents
10:49 Filtering
13:25 Sorting
16:45 Cursors and Pagination
20:36 Takeaways for Using Elasticsearch
23:27 How it works
25:03 Cluster Nodes and Roles
28:01 Replicas and Shards
29:38 Lucene Indexes and Segments
32:24 Inverted Indexes
35:09 Columnar Indexes and Doc Values
37:44 Query Planning
40:44 End-to-end Data Flow
43:08 Takeaways from Elasticsearch Architecture

Full writeup here:
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System design guided practice:
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Preparing for your upcoming interviews and want to practice with top FAANG interviewers like Stefan? Book a mock interview at:
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Good luck with your upcoming interviews!

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