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.
Redis Streams
Redis Streams and Apache Kafka are both powerful tools for real-time data processing. Redis Streams is lightweight and low-latency, while Kafka offers scalability and fault tolerance. Choose based on your specific use case requirements.
Apache Kafka
"Apache Kafka KSQL enables real-time data ingestion and processing through its user-friendly SQL-like interface. With its simplicity and powerful features, KSQL is perfect for building real-time data pipelines and monitoring systems."
Apache Kafka
Learn how Apache Kafka clusters enable scalable and fault-tolerant streaming applications. Explore replication, partitioning, and best practices for cluster performance.
Apache Kafka
Learn how to integrate Apache Kafka and Apache Spark for real-time stream processing. Explore the benefits, setup steps, and write a simple Spark Streaming application to consume Kafka data.
Apache Kafka
Explore the core components of Apache Kafka - brokers, topics, partitions, producers, consumers, and consumer groups - that work together to provide a scalable and reliable messaging system.
data serialization
"Avro and JSON are popular data serialization formats for Apache Kafka. Avro offers compactness and schema evolution, while JSON provides human readability and wide language support."
event-driven microservices
Explore the power of event-driven microservices with gRPC and Apache Kafka. Create decoupled systems for large-scale data processing and seamless integration.
Apache Kafka
Apache Kafka Connectors provide a scalable and easy way to integrate Kafka with external systems. Learn how they work, how to implement them, and explore popular connectors in this blog post.
Apache Kafka
Learn how Apache Kafka can enhance microservices architecture with reliable messaging, log aggregation, event sourcing, real-time analytics, and data synchronization.
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.
Apache Kafka
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
"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."