Elasticsearch for Engineers: Top 5 Use Cases

Identify which problems Elasticsearch is the right tool for, understand how each use case works under the hood, and avoid the most common mistake engineers make when adopting it

3 sections ยท 9 lessons

Course outline

How Elasticsearch Works

  1. The Inverted Index
  2. Shards, Replicas, and Eventual Consistency

The 5 Core Use Cases

  1. Use Case 1: Full-Text Search
  2. Use Case 2: Log Aggregation (ELK Stack)
  3. Use Case 3: E-commerce Product Search
  4. Use Case 4: Observability and APM
  5. Use Case 5: Vector Search and Semantic Search

Production Gotchas

  1. The #1 Mistake: Treating ES as a Primary Database
  2. Relevance Is Not Automatic

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