Apache Kafka: Blog Series

This series will guide you through Apache Kafka from the fundamentals to advanced real-world use cases. Whether you're a backend developer, DevOps engineer, or data engineer, this series will help you confidently integrate Kafka into your systems.

Series Overview

1. Introduction to Apache Kafka

  • Goal: Understand what Kafka is and why it's used.
  • Topics: Pub/Sub vs Message Queues, Kafka use cases, architecture overview.

2. Kafka Architecture Deep Dive

  • Goal: Explore the key components of Kafka.
  • Topics: Topics, partitions, brokers, producers, consumers, Zookeeper, replication, fault tolerance.

3. Setting Up Kafka Locally (Docker & Native)

  • Goal: Install and run Kafka on your machine.
  • Topics: Kafka with Docker Compose, installing Kafka manually, simple CLI usage.

4. Writing Your First Kafka Producer and Consumer in Java

  • Goal: Implement a basic Kafka producer and consumer using Java.
  • Topics: Kafka client libraries, serialization, simple message production and consumption.

5. Kafka Topics, Partitions, and Offsets Explained

  • Goal: Learn how Kafka stores and manages data streams.
  • Topics: Partitioning strategy, offset management, consumer groups, delivery guarantees.

6. Kafka in a Microservices Architecture

  • Goal: Learn how Kafka enables event-driven microservices.
  • Topics: Decoupling services, eventual consistency, event sourcing basics.

7. Handling Failures and Ensuring Reliability in Kafka

  • Goal: Understand how to build resilient Kafka systems.
  • Topics: Idempotency, retries, dead-letter queues, log compaction.

8. Kafka Streams and Real-Time Processing

  • Goal: Process Kafka data streams in real-time using Kafka Streams API.
  • Topics: Stream processing vs batch, transformations, joins, stateful operations.

9. Monitoring and Observability in Kafka

  • Goal: Track Kafka performance and troubleshoot issues.
  • Topics: JMX metrics, Grafana dashboards, Kafka Manager, lag monitoring.

10. Best Practices and Common Pitfalls in Kafka

  • Goal: Learn what to do (and avoid) in production Kafka usage.
  • Topics: Partition count tuning, schema evolution, security, data retention strategies.

Stay tuned as we release each part of this series. By the end, you'll be able to build, deploy, and manage Kafka-based systems with confidence!

Post a Comment

0 Comments