Guided Lab Brief

NoSQL & Document Databases

When to choose NoSQL over SQL and how to model data for document stores like MongoDB.

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Overview

When to choose NoSQL over SQL and how to model data for document stores like MongoDB.

Not every workload fits a relational model.

You will build 4 architecture steps that model production dependencies.

You will run 1 failure experiment to observe bottlenecks and recovery behavior.

Success target: Content served with low latency, cache reducing database load.

Learning Objectives

  • Understand when to choose NoSQL vs SQL
  • Know document modeling patterns
  • Learned about consistency trade-offs
  • Experienced replication factor impact

Experiments

  1. Set MongoDB consistency to 'strong' to see the performance impact

Failure Modes to Trigger

  • Trigger: Set MongoDB consistency to 'strong' to see the performance impact

    Observe: Strong consistency requires waiting for all 3 replicas to acknowledge writes. Write latency increases 3-5x. For a content platform, this is unnecessary overhead.

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