Kafka
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Java
Working With Reactive Kafka Stream and Spring WebFlux
In modern application development, the need for real-time data processing and reactive programming has become increasingly important. Reactive programming allows…
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Core Java
Kafka vs. Pulsar: Choosing the Right Java Streaming Library
When building streaming applications, developers often face the challenge of selecting the right library or framework for data processing. Two…
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DevOps
Consumer Seek in Kafka
Apache Kafka is a distributed event-streaming platform used to handle real-time data. One of its most powerful features is the…
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Software Development
Logstash vs. Kafka
As organizations increasingly adopt modern data architectures, two tools often considered for data pipelines are Logstash and Apache Kafka. While…
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DevOps
Kafka Consumer Offset Example
Apache Kafka is a powerful distributed event-streaming platform, but to leverage its full potential, it’s essential to understand how consumer…
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Software Development
Data Contracts in Kafka: Governing Your Streaming Pipelines
As organizations increasingly adopt streaming data architectures, maintaining data quality and governance is essential. Kafka, a popular distributed event streaming…
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Enterprise Java
Handling Kafka Producer Retries
In distributed messaging systems, such as Apache Kafka, it’s essential to ensure that messages are delivered reliably, even when facing…
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Enterprise Java
Manage Kafka Listeners Dynamically in Spring Boot
In contemporary event-driven architectures, proficient management of data streams is paramount. Apache Kafka stands out as a favored solution for…
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Enterprise Java
Commit Offsets in Kafka
Apache Kafka is an open-source stream-processing software platform developed by the Apache Software Foundation. Kafka uses topics, partitions, and replication…
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