Apache Kafka in Microservices Architecture: Real-World Examples
Learn how Apache Kafka can enhance microservices architecture with reliable messaging, log aggregation, event sourcing, real-time analytics, and data synchronization.
Apache Kafka
Apache Kafka is a distributed event streaming platform used by developers to build real-time data pipelines and streaming applications at scale. With high throughput, fault-tolerant capabilities, and support for various integrations, Kafka enables reliable and efficient data processing across diverse systems, making it popular in data-driven organizations.
Kafka Connect Sources: Ingesting Data into Apache Kafka
Learn how to use Kafka Connect Sources to ingest data into Apache Kafka from various external systems like databases, message queues, and file systems. Harness the power of Kafka's real-time streaming capabilities.
Kafka Producer API: Sending Data to Apache Kafka Topics
Learn how to use the Kafka Producer API to send data to Apache Kafka topics. Discover the steps to set up a Kafka Producer, send data to a topic, and close the producer. Build efficient and scalable systems with Kafka.
Apache Kafka Use Cases: How It Powers Real-Time Data Streaming
"Discover the power of Apache Kafka in real-time data streaming. Explore key use cases like real-time analytics, log aggregation, event sourcing, messaging, and data replication. Unlock the potential of Kafka for your business."
Event-Driven Architecture with Apache Kafka: A Beginner's Guide
Event-driven architecture using Apache Kafka: a beginner's guide. Learn the key concepts of EDA, advantages, and how Kafka enables real-time event processing. Get started with Kafka in your applications now!
Apache Kafka Consumer API: Reading Data from Kafka Topics
Learn how to consume data from Kafka topics using the Kafka Consumer API in Java and Python. Explore key components like consumer groups, topics, partitions, and offsets. Build scalable and fault-tolerant data processing applications with Apache Kafka.