Hi there!

You want to prepare to your Kafka Job Interview?
Or just want to know how Kafka works inside?

You are in good company!
My name is Anatolii and Iam a Software Developer in the Internet of Things.
Every second we receive tons of data from our sensors and we've chosen Kafka as a backbone of our distributed backend application.

In this course, I am using my practical experience of running Apache Kafka in production and describe in detail the Architecture of Kafka and the motivation behind it.

This course is for you if:

• you want to prepare for a Kafka Job Interview questions

• you want to make better architectural decisions for your messaging system

• more easily debug production issues with Kafka

• or just want to know how Kafka is built inside.
  
  We will cover:

• Consumer Groups and rebalancing of partitions across Consumers

• Replication of data in Kafka for redundancy and recovery

• Different options to clean space in Kafka (delete or compact the logs)

• Batching and compressing messages

• Fault tolerance in Kafka Cluster

• Rebalance protocol

• Static membership

• Incremental Cooperative Rebalance

We will also run Kafka in Docker to investigate Kafka files and their structure.

In this dense course, I've combined information from these primary sources:

• The actual Kafka code

• Kafka Improvement Proposals (KIP) - internal discussions in the Kafka community that describe the feature before its implementation

• and of course, the knowledge I received personally from running Kafka in High Load production

If you want to know how Kafka is built or get prepared for your Kafka Job Interview I am glad to see you on the course!