• A simple event-driven system that will allow us to send messages to kafka and then consume them

1. Docker
2. Node.js

Follow the instructions in the conduktor folder

yarn add kafkajs

• Setup a Kafka cluster for local development with Docker
• Connect a producer to the cluster
• Connect a consumer to the cluster
• Graceful shutdown - disconnect the producer and consumer from the cluster
• Using Conduktor to view & manage the cluster

• Kafka is a distributed streaming platform
• It is horizontally scalable
• It is fault tolerant
• It is fast
• It is used by many companies including Uber, Netflix, LinkedIn, and many more

• Producer - A producer is a client that sends messages to a topic on the Kafka cluster

• Consumer - A consumer is a client that reads messages from a topic on the Kafka cluster

• Topic - A topic is a category or feed name to which records are published. Topics in Kafka are always multi-subscriber

• Broker - A broker is a server that hosts a topic. Each broker is identified by a unique id

• Partition - A partition is an ordered, immutable sequence of records that is continually appended to a file. The records in the partitions are each assigned a sequential id number called the offset that uniquely identifies each record within the partition.

• Replication - Replication is the process of duplicating data across multiple brokers. Replication provides fault tolerance and high availability. A topic can have multiple partitions, and each partition can have multiple replicas.

• Consumer Group - A consumer group is a group of consumers that cooperate to consume messages from a set of topics. Each consumer in a group can process the messages in parallel. The Kafka cluster ensures that each message is delivered to one consumer in each subscribing consumer group.

• Offset - The offset is a unique identifier for a message within a partition. The offset is assigned when a producer publishes a message to a partition. The offset is used by the consumer to determine the message to process next.

• Leader - The leader is the server that is currently the active controller for a partition. The leader handles all read and write requests for the partition. Only the leader can become a follower.

• Follower - The follower is a passive server that replicates the log of the leader. The follower can become the leader if the current leader fails.