Apache Kafka is a streaming platform that is free and open-source. Kafka was first built at LinkedIn as a messaging queue, but it has evolved into much more. It's a versatile tool for working with data streams that may be applied to a variety of scenarios.
Kafka is a distributed system, which means it can scale up as needed. All you have to do now is add new Kafka nodes (servers) to the cluster.
Kafka can process a large amount of data in a short amount of time. It also has low latency, making it possible to process data in real-time. Although Apache Kafka is written in Scala and Java, it may be used with a variety of different programming languages.
Traditional message queues, like RabbitMQ, are not the same as Kafka. RabbitMQ eliminates messages immediately after the consumer confirms them, whereas Kafka keeps them for a period of time (default is 7 days) after they've been received. RabbitMQ also sends messages to consumers and monitors their load. It determines how many messages each consumer should be processing at any one time. On the other hand, Consumers can retrieve messages from Kafka by pulling. It is built to be scalable horizontally by adding more nodes.
It is used for fault-tolerant storage as well as publishing and subscribing to a stream of records. The programs are intended to process timing and consumption records. Kafka replicates log partitions from many hosts. Developers and users contribute coding updates, which it keeps, reads, and analyses in real-time. For messaging, website activity tracking, log aggregation, and commit logs, Kafka is employed. Although Kafka can be used as a database, it lacks a data schema and indexes.
Posted Date:- 2021-11-12 08:30:31
Explain how you can improve the throughput of a remote consumer?
In the Producer, when does QueueFullException occur?
If a Replica stays out of the ISR for a long time, what does it signify?
What advantages does Kafka have over Flume?
What are replications dangerous in Kafka?
What are replications dangerous in Kafka?
How is a Kafka Server started?
Distinguish between the Kafka and Flume?
Elaborate the architecture of Kafka.
Can Kafka be utilized without ZooKeeper?
Inside the manufacturer, when does the QueueFullException emerge?
What major role does a Kafka Producer API play?
Why do you think the replications to be dangerous in Kafka?
How are partitions distributed in a Kafka cluster?
What is the purpose of partitions in Kafka?
What does follower and leader in Kafka mean?
What ensures load balancing of the server in Kafka?
How can you get precisely one messaging during data production?
Explain Geo-replication in Kafka.
What is the critical difference between Flume and Kafka?
Mention what is the traditional method of message transfer?
What are the benefits of using clusters in Kafka?
What do you mean by geo-replication in Kafka?
What does it mean if a replica is not an In-Sync Replica for a long time?
What is the maximum size of a message that Kafka can receive?
Why is Kafka technology significant to use?
What is the main difference between Kafka and Flume?
Explain the role of the Kafka Producer API.
In the Producer, when does QueueFullException occur?
How do you define a Partitioning Key?
What is the process for starting a Kafka server?
If a Replica stays out of the ISR for a long time, what does it signify?
What do you know about Partition in Kafka?
Why are Replications critical in Kafka?
What roles do Replicas and the ISR play?
Is it possible to use Kafka without ZooKeeper?
Explain the role of the offset.
What do you mean by zookeeper in Kafka and what are its uses?
What do you mean by a Partition in Kafka?
Explain the four core API architecture that Kafka uses.
What are some of the features of Kafka?
Explain the concept of Leader and Follower.
Is it possible to use Kafka without ZooKeeper?
What is the role of the ZooKeeper?
Explain the role of the offset.