Categories: Tech Threads

Leveraging Apache Kafka for the Distribution of Large Messages (in gigabyte size range)

Recent Posts

RisingWave- An unwrinkled road to event stream processing

A distributed SQL streaming database called RisingWave makes processing streaming data easy, dependable, and efficient.… Read More

6 months ago

Transferring real-time data processed within Apache Flink to Kafka

Transferring real-time data processed within Apache Flink to Kafka and ultimately to Druid for analysis/decision-making.… Read More

8 months ago

Streaming real-time data from Kafka 3.7.0 to Flink 1.18.1 for processing

Over the past few years, Apache Kafka has emerged as the leading standard for streaming… Read More

9 months ago

Why Apache Kafka and Apache Flink work incredibly well together to boost real-time data analytics

When data is analyzed and processed in real-time, it can yield insights and actionable information… Read More

10 months ago

Integrating rate-limiting and backpressure strategies synergistically to handle and alleviate consumer lag in Apache Kafka

Apache Kafka stands as a robust distributed streaming platform. However, like any system, it is… Read More

10 months ago

The Zero Copy principle subtly encourages Apache Kafka to be more efficient.

The Apache Kafka, a distributed event streaming technology, can process trillions of events each day… Read More

1 year ago