Kafka Use cases

 

Kafka Use cases

Use cases of Apache Kafka, a distributed event-streaming platform. Let’s walk through each section in detail:

1. Streaming Data:

• Platforms like Twitter, Instagram, and Facebook send data streams to Kafka topics.

• Kafka integrates with Spark Streaming, which can process the streams in real time to feed ML models for analysis or prediction.

2. Log Aggregation:

• Logs from various servers and applications are collected and routed to Kafka.

• Kafka sends the logs to processing systems like Spark or other analytics platforms to generate reports or dashboards.

3. Message Queuing:

• Producers (1, 2, and 3) send different types of messages to Kafka topics.

• Kafka ensures that consumers get each message reliably and in the right order.

4. Data Replication:

• Databases (DB1, DB2, DB3) use Kafka Connect to replicate data to other DBs (DB4, DB5, DB6), ensuring real-time consistency across systems.

5. Monitoring & Alerting:

• Logs from multiple microservices are streamed into Kafka.

• Apache Flink monitors the logs in real time, sending alerts if it detects any anomalies or failures.

6. Change Data Capture (CDC):

• Kafka captures changes from a transaction log of a source database.

• Kafka streams the changes to various sinks like Elasticsearch, Redis, or other databases to keep replicas updated in real time.

7. System Migration:

• Kafka helps migrate services (e.g., Shopping Cart, Order, and Payment services) by synchronizing data between old and new systems.

• Kafka can reconcile orders and ensure data consistency during and after migration.

8. Real-Time Analytics:

• Producers send records to specific Kafka topics and partitions.

• Kafka brokers distribute these records for real-time analytics by consumer groups to gain insights immediately.

Each section highlights Kafka’s versatility in handling event streams, data synchronization, monitoring, and real-time analytics. This image nicely illustrates the interconnected flow of data in a Kafka-centric architecture.