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Kafka

Event-Driven Architecture (EDA) vs Request/Response (RR)

In this video, Adam Bellemare compares and contrasts Event-Driven and Request-Driven Architectures to give you a better idea of the tradeoffs and benefits involved with each. Many developers start in the synchronous request-response (RR) world, using REST and RPC to build inter-service communications. But tight service-to-service coupling, scalability, fan-out sensitivity, and data access issues can still remain.

Kafka-docker-composer: A Simple Tool to Create a docker-compose.yml File for Failover Testing

Confluent has published official Docker containers for many years. They are the basis for deploying a cluster in Kubernetes using Confluent for Kubernetes (CFK), and one of the underpinning technologies behind Confluent Cloud. For testing, containers are convenient for quickly spinning up a local cluster with all the components required, such as Confluent Schema Registry or Confluent Control Center.

Confluent Connectors | Fast, frictionless, and secure Apache Kafka integrations

Every company faces the perennial problem of data integration but often experiences data silos, data quality issues, and data loss from point-to-point, batch-based integrations. Connectors decouple data sources and sinks through Apache Kafka, simplifying your architecture while providing flexibility, resiliency, and reliability at a massive scale.

4 lessons from Kafka Summit London 2024

It was lovely to see so many of the community and hear about the latest data streaming initiatives at Kafka Summit this year. We always try to distill the sea of content from the industry’s premier event into a digestible blog post. This time we’ll do it slightly differently and summarize some broader learnings, not only from the sessions we saw, but the conversations we had across the two days.

How to Unlock the Power of Event-Driven Architecture | Designing Event-Driven Microservices

An Event-Driven Architecture is more than just a set of microservices. Event Streams should represent the central nervous system, providing the bulk of communication between all components in the platform. Unfortunately, many projects stall long before they reach this point.