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Real-Time Data Processing with Node.js, TypeScript, and Apache Kafka

Ketan Jakhar
JavaScript in Plain English
8 min readOct 8, 2024
Generated using AI

Imagine orchestrating a symphony where each instrument plays in perfect harmony, even though they’re scattered across the globe. Sounds impossible? Not with the right tools! Like Kafka Hibino from the anime “Kaiju №8” discovers his hidden abilities to combat colossal monsters, we’re about to unlock the secrets of real-time data processing using Node.js, TypeScript, and Apache Kafka.

Table of Contents

  1. Introduction
  2. What is the Pub/Sub Model?
  3. Apache Kafka 101
  4. Why Apache Kafka?
  5. Understanding Kafka Fundamentals
    3.1 Topics and Partitions
    3.2 Brokers and Clusters
    3.3 Producers and Consumers
  6. Choosing the Right NPM Library for Kafka
  7. Setting Up Kafka Locally
    5.1 Installation on Windows
    5.2 Installation on Linux
    5.3 Installation on macOS
  8. Integrating Kafka with Node.js and TypeScript
    6.1 Installing dependencies
    6.2 Configuring TypeScript
  9. Producing Streams of Data
  10. Consuming Streams of Data
  11. Handling Backpressure and Flow Control
  12. Designing for Scalability and Fault Tolerance
  13. Hosting Kafka on Remote

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Written by Ketan Jakhar

everything backend | NodeJS | TypeScript | Blockchain

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