Monthly roundup of articles and resources on data streaming, covering Flink, Kafka, Debezium, and streaming SQL developments.
Monthly roundup of data streaming trends, featuring Apache Iceberg, Kafka Streams, Flink deployments, and streaming SQL insights.
A technical guide on exposing a local Apache Kafka broker to the internet using ngrok for development and demo purposes.
A technical comparison of RabbitMQ and Apache Kafka for messaging in microservices, covering their architectures, patterns, and use cases.
Author explains their move to Decodable to dive deeper into stream processing, Apache Flink, and work with experts in the field.
Interview with Redpanda Data founder Alex Gallego on building a high-performance data streaming platform, his career journey, and supporting minorities in tech.
An overview of Apache Kafka, explaining its core concepts as a distributed event streaming platform for real-time data pipelines.
A software engineer explains their decision to join Decodable, a startup building a serverless real-time data platform, focusing on stream processing.
A software engineer explains their decision to join Decodable, a startup building a serverless real-time data platform, focusing on stream processing.
A data engineer explores the evolution of the data ecosystem, comparing past practices with modern tools and trends in 2022.
A tutorial on setting up a local Apache Kafka cluster for testing using Docker and Docker Compose.
A guide to testing custom Kafka Connect source connectors, covering unit and integration testing strategies with code examples.
A guide to testing custom Kafka Connect source connectors, covering unit and integration testing strategies with code examples.
A recap of 2021 conference talks on Debezium and Change Data Capture (CDC), exploring patterns and integrations with tools like Kafka and Pinot.
A recap of 2021 conference talks on Debezium and Change Data Capture (CDC), exploring patterns and integrations with tools like Kafka and Infinispan.
An analysis of key trends in the Apache Kafka ecosystem, including connector growth, self-service data pipelines, and stream processing adoption.
An analysis of current trends in the Apache Kafka ecosystem, focusing on connector growth, self-service data pipelines, and stream processing adoption.
An overview of Kafka's new KRaft mode, which removes the ZooKeeper dependency for metadata management and controller election.
Overview of Kafka's new KRaft mode, which removes the ZooKeeper dependency for metadata management and controller election.
Part 3 of a series on Event-Driven Architecture for .NET developers, focusing on integrating Apache Kafka applications with Azure Event Hubs and Schema Registry.
