Apache Kafka Broker

Apache Kafka Broker is the core component of the 🐦 Kafka ecosystem, responsible for storing messages and handling communication between producers and consumers in a distributed system.

Notes

Apache Kafka Team

Brokers are the backbone of Kafka, handling data ingestion, storage, and replication.

Broker is designed to store streams of records in a fault-tolerant manner. Data is distributed across multiple brokers, ensuring high availability and durability. Each broker maintains a set of topics, partitioning them for scalable and efficient data processing.

flowchart LR
    Producer --> |sends msg to| Broker
    subgraph "Broker"
        direction LR
        TopicA -->|redirects to| PA1(PartitionA1)
        TopicA -->|redirects to| PA2(PartitionA2)
        TopicB -->|redirects to| PB1(PartitionB1)
        TopicB -->|redirects to| PB2(PartitionB2)
        TopicB -->|redirects to| PB3(PartitionB3)
        style TopicA fill:#887766,stroke:#333,stroke-width:2px;
        style TopicB fill:#998877,stroke:#333,stroke-width:2px;
        style Broker fill:#776655,stroke:#333,stroke-width:2px;
    end
    Broker --> |is read by| Consumer

TakeAways

• 📌 Kafka Broker handles data storage, replication, and acts as an intermediary between producers and consumers.
• 💡 Brokers maintain topic-partition logs and manage metadata to ensure efficient data retrieval.
• 🔍 Each broker can manage thousands of partitions and support high throughput rates.

Process

• 📄 Data Ingestion: Producers send records to the Kafka Broker.
• 🗄️ Storage: The Broker stores records in a commit log for each Partition.
• 🔒 Replication: Data is replicated across multiple brokers to ensure fault tolerance.
• 🖥 Metadata Management: The Broker maintains metadata about topics and partitions for efficient data access.

Thoughts

• HighAvailability: Brokers ensure that data remains available even if some nodes fail.
• Scalability: By distributing data across multiple brokers, Kafka supports horizontal scaling.
• FaultTolerance: Replication of data ensures that no data is lost in case of broker failures.

References

2. 🐦 Kafka
3. Apache Kafka Broker Official Documentation