Confluent Blog

If you are not using fully managed Apache Kafka® in the Confluent Cloud, then this question on Kafka listener configuration comes up on Stack Overflow and such places a lot, so

Confluent’s clients for Apache Kafka® recently passed a major milestone—the release of version 1.0. This has been a long time in the making. Magnus Edenhill first started developing librdkafka about

Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes

It’s official: Apache Kafka® 2.3 has been released! Here is a selection of some of the most interesting and important features we added in the new release. Core Kafka KIP-351

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. Who has never seen an application use RDBMS SQL statements to run searches?

You might think that data collection in astronomy consists of a lone astronomer pointing a telescope at a single object in a static sky. While that may be true in

Confluent Cloud, a fully managed event cloud-native streaming service that extends the value of Apache Kafka®, is simple, resilient, secure, and performant, allowing you to focus on what is important—building

For event streaming application developers, it is important to continuously update the streaming pipeline based on the need for changes in the individual applications in the pipeline. It is also

At TokenAnalyst, we are building the core infrastructure to integrate, clean, and analyze blockchain data. Data on a blockchain is also known as on-chain data. We offer both historical and

Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring