A Comprehensive Guide to Apache Kafka: Everything You Need to Know

📚Apache Kafka is an open-source distributed streaming platform used for storing and processing streams of data.

🌐Kafka uses topics and partitions to spread data across multiple brokers, providing scalability and fault tolerance.

🌈Event-driven applications are becoming more popular, driving the need for efficient event streaming platforms like Kafka.

⚡️Kafka's replication feature ensures high availability by replicating data across multiple brokers.

🧩To ensure availability, set a minimum number of in-sync replicas for each topic and partition.

What is Apache Kafka?

—Apache Kafka is an open-source distributed streaming platform used for storing and processing streams of data.

How does Kafka ensure scalability?

—Kafka uses topics and partitions to spread data across multiple brokers, allowing for high scalability.

Why are event-driven applications becoming more popular?

—Event-driven applications provide better insight into data flow and enable better handling of real-time events.

What is replication in Kafka?

—Replication in Kafka ensures high availability by replicating data across multiple brokers.

How can I ensure availability in Kafka?

—To ensure availability, set a minimum number of in-sync replicas for each topic and partition.

09:22Kafka is an open-source distributed streaming platform used for storing and processing streams of data.

11:59Kafka uses topics and partitions to spread data across multiple brokers, providing scalability and fault tolerance.

19:02Event-driven applications are becoming more popular, driving the need for efficient event streaming platforms like Kafka.

23:47Kafka's replication feature ensures high availability by replicating data across multiple brokers.

26:15To ensure availability, set a minimum number of in-sync replicas for each topic and partition.