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Building a Resilient Event-Driven Architecture with Apache Kafka and Stream Processing

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Building a Resilient Event-Driven Architecture with Apache Kafka and Stream Processing

DEV Community: webdev·Rizwan Saleem·about 14 hours ago

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#dev #fullscreen #order #kafka #flink #article

Building a Resilient Event-Driven Architecture with Apache Kafka and Stream Processing ...

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Stream Processing Continuum: Golang Sockets to Flink and Spark Pipelines

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Stream Processing Continuum: Golang Sockets to Flink and Spark Pipelines

DEV Community·Andrey·27 days ago

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#execution #go #spark #data #architecture #state

Real-Time Stream Processing Real-time data processing operates on continuous, unbounded...

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Performance Test: Flink 1.19 vs. Spark 4.0 vs. Kafka Streams 3.8 Windowed Aggregation Throughput

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Performance Test: Flink 1.19 vs. Spark 4.0 vs. Kafka Streams 3.8 Windowed Aggregation Throughput

DEV Community·ANKUSH CHOUDHARY JOHAL·28 days ago

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#flink #spark #use #tip #benchmark #kafka

From Dev Community: Performance Test: Flink 1.19 vs. Spark 4.0 vs. Kafka Streams 3.8 Windowed Aggregation Throughput

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We forked Apache Stateful Functions for Flink 2.x — here's why

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We forked Apache Stateful Functions for Flink 2.x — here's why

DEV Community·Oleksandr Kazimirov·29 days ago

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#apacheflink #statefun #java #flink #stateful #apache

Apache Stateful Functions hasn't shipped a release since October 2024 and pins Flink 1.16 + Java 11. We needed it on Flink 2.x with Java 21, plus Kinesis I/O restored. Here's the rebuild.

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System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine | Towards Data Science

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System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine | Towards Data Science

Towards Data Science·Sanil Khurana·about 1 month ago

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#deepdives #editorspicks #newsletter #flink #kafka #events

From Towards Data Science: System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine

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Building a Resilient Event-Driven Architecture with Apache Kafka and Stream Processing

Stream Processing Continuum: Golang Sockets to Flink and Spark Pipelines

Performance Test: Flink 1.19 vs. Spark 4.0 vs. Kafka Streams 3.8 Windowed Aggregation Throughput

We forked Apache Stateful Functions for Flink 2.x — here's why

System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine | Towards Data Science