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Apache Kafka Internals

Master the world's most popular streaming platform. Deep dive into Partitions, Replication protocols, Consumer Groups, and the KRaft consensus.

Kafka is the central nervous system of modern data architectures. This course goes deep into its internals. You will understand how Kafka achieves high throughput using sequential disk I/O and zero-copy transfer. Master the mechanics of Partitions, Offsets, and Consumer Groups. We cover reliability settings (ACKS, min.insync.replicas), the transition from Zookeeper to KRaft, and Schema Registry integration. Essential for Data Engineers and Backend Architects.

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⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
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Complete Course Syllabus

  • 1
    Log Architecture
    Topics, Partitions, Segments, and the immutable log.
  • 2
    Producers & ACKS
    Delivery semantics (At-least-once vs Exactly-once).
  • 3
    Consumer Groups
    Scalable consumption and rebalancing protocols.
  • 4
    Replication
    Leader election, ISRs, and high availability.
  • 5
    Ecosystem
    Kafka Connect, Streams API, and Schema Registry.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$140k - $190k

Career Paths

Streaming Data Eng $140k-$185k
Data Infrastructure Eng $150k-$200k
Kafka Administrator $130k-$170k

What You Will Learn

Architect high-throughput streaming pipelines using Kafka
Tune Producer and Consumer configurations for latency/reliability
Manage Consumer Groups and offset commits effectively
Troubleshoot partition skew and replication lag issues
Deploy Kafka clusters using Zookeeper or KRaft mode

Skills You Will Gain

Apache Kafka Event Streaming Distributed Logs System Tuning Data Pipelines

Who Is This For

Data Engineers
Backend Architects
SREs

Prerequisites

Distributed Systems
Java/JVM

Apache Kafka Internals FAQs

Admin or Dev?

Covers both operational internals and dev implementation.

Hard to run?

Yes, Kafka is a beast; we teach Docker setup.

Vs RabbitMQ?

Kafka is for streaming data; Rabbit for tasks.

Language?

Kafka is Java/Scala, but we cover general concepts.

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