Kafka performance relies on implementing continuous intelligence and real-time analytics. It is important to be able to ingest, check the data, and make timely business decisions. Stream processing ...

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Ensuring that distributed systems like Apache Kafka are resilient is crucial to withstanding disruptions, adapting to changing conditions and maintaining essential functions. Those who implement these ...

Five key innovations that increased the performance, availability, and cost-efficiency of the engine at the heart of Confluent’s managed Apache Kafka service. When we set out to rebuild the engine at ...

The ability to process vast amounts of data efficiently has become a critical factor in staying competitive. As organizations face the challenge of managing high-volume data streams, tools like Apache ...