Confluent rearchitected Control Center away from its Kafka Streams metrics pipeline. Kestra 2.0 rebuilt its queuing layer around plain queueing.…
Most vendors sell milliseconds, but most enterprise use cases do not need them. A critical look at Kafka, Flink, Spark,…
Complex Event Processing is the most underused capability in Apache Flink. It detects meaningful event sequences in real time, fires…
Running Apache Flink on a mainframe may sound surprising, but it is already happening and for good reason. As modern…
Agentic AI is moving into production. Autonomous, tool-using, goal-driven systems that need real-time data and context. Apache Kafka and Flink…
This blog explores how Confluent and Databricks address data integration and processing in modern architectures. Confluent provides real-time, event-driven pipelines…
Discover when Apache Flink is the right tool for your stream processing needs. Explore its role in stateful and stateless…
The rise of stream processing has changed how we handle and act on data. While traditional databases, data lakes, and…
Apache Kafka and Apache Flink are leading open-source frameworks for data streaming that serve as the foundation for cloud services,…
In the age of digitization, the concept of pricing is no longer fixed or manual. Instead, companies increasingly use dynamic…