Kafka cluster is a distributed network of Apache Kafka brokers that work together to provide a robust and scalable messaging system for real-time data streaming. Each broker in a Kafka cluster is a server responsible for storing and managing data partitions. The cluster is designed to handle high-throughput data streams by distributing data across multiple brokers and partitions, allowing for parallel processing and efficient load balancing. Kafka ensures data durability and fault tolerance through replication, where each partition's data is copied across multiple brokers. This replication guarantees that data is preserved even if some brokers fail. Kafka clusters also manage data distribution and coordination tasks, making them well-suited for applications that require reliable, high-performance messaging and real-time data processing.
Abhinav Gupta, Pune
(5.0)The training was very useful and interactive. Rajesh helped develop the confidence of all.
Indrayani, India
(5.0)Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.
Ravi Daur , Noida
(5.0)Good training session about basic Kafka concepts. Working session were also good, howeverproper query resolution was sometimes missed, maybe due to time constraint.
Sumit Kulkarni, Software Engineer
(5.0)Very well organized training, helped a lot to understand the HTML concept and detailed related to various tools.Very helpful
Vinayakumar, Project Manager, Bangalore
(5.0)Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.
Abhinav Gupta, Pune
(5.0)The training with DevOpsSchool was a good experience. Rajesh was very helping and clear with concepts. The only suggestion is to improve the course content.