
Explore Kafka basics, architecture, core concepts and components; set up a local Kafka cluster, use the command line to manage ZooKeeper, brokers, topics, producers and consumers, and program with Java.
Explore traditional architectures' limitations and how Kafka, a distributed streaming platform, enables loose coupling, high throughput, and real-time use cases like messaging and log aggregation.
Explore how Kafka clusters with multiple brokers create topics across brokers and distribute partitions via round-robin; use replication with a replication factor and partition leaders or in-sync replicas for durability.
Install Java, download and extract Apache Kafka, explore the bin and config folders, and run platform-specific scripts to start ZooKeeper and the broker, and verify topics on Windows.
Start a Zookeeper server from console in your local machine
Start a Kafka server from console in your local machine
Create a Kafka topic from console in your local machine
Create a Kafka producer from console in your local machine, and post messages to a Kafka topic
Create a Kafka consumer from console in your local machine, and consume messages from a Kafka topic
Develop a Java producer with a callback to access partition and offset metadata after sending, and learn how default partitioning and message keys influence partition selection.
Explore Java producer configurations in Kafka by examining default values, properties like bootstrap servers localhost:1992, client id, key/value serializers, and default partition handling, with hands-on reflection on the producer program.
Apache Kafka is a distributed streaming platform used by thousands of companies for numerous batch as well as real-time data integration and data streaming use cases.
Kafka is used by thousands of companies across the world, and its popularity and usage is increasing exponentially.
As a result, the demand for people (developers, architects, devops engineers, product managers, project managers, etc.) with knowledge of Kafka is increasing every day.
You can build, and grow up, in your career by learning this awesome technology.
In this beginner level course you will learn the basics of kafka, setup Kafka in your local machine, use Kafka commands to create and interact with Kafka components, program Kafka in Java using Kafka API, and will setup Kafka cluster and review server failure scenarios.
By the end of this course you will be able to work with kafka in real-world environments. Plus this course will also help you ace your Kafka interviews!
In this course -
You will learn about the architecture of Kafka, core concepts of Kafka, and the key components of Kafka.
You will learn about Kafka clusters, Kafka brokers, Kafka topics, Kafka partitions, Kafka messages, Kafka producers, Kafka consumers, and Kafka consumer groups.
You will setup Kafka in your local environment, and use Kafka CLI to create and interact with the key components of Kafka.
You will install IntelliJ Java IDE, and will program Kafka producers and Kafka consumers using Java programming language.
You will create a multi-broker Kafka cluster in your local environment
You will look into broker failure scenarios.
By the end of this course - you will be able to work with Kafka in real-world environments and use-cases.
Thank You! And hope to see you in the course.