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Troubleshooting Kafka In Production

Data Engineering Podcast

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. Can you describe your experiences with Kafka? What are the operational challenges that you have had to overcome while working with Kafka? With Materialize, you can!

Kafka 245
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Confluent + Immerok: Cloud Native Kafka Meets Cloud Native Flink

Confluent

Introducing fully managed Apache Kafka® + Flink for the most robust, cloud-native data streaming platform with stream processing, integration, and streaming analytics in one.

Kafka 145
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Kora: The Cloud Native Engine for Apache Kafka

Confluent

Take a tour of the internals of Confluent’s Apache Kafka® service, powered by Kora: the next-generation, cloud-native streaming engine.Kora.

Kafka 145
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Inside Agoda’s Private Cloud - Exclusive

The Pragmatic Engineer

In a previous two-part series , we dived into Uber’s multi-year project to move onto the cloud , away from operating its own data centers. But there’s no “one size fits all” strategy when it comes to deciding the right balance between utilizing the cloud and operating your infrastructure on-premises.

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Beyond Kafka: Conversation with Jark Wu on Fluss - Streaming Storage for Real-Time Analytics

Data Engineering Weekly

I spoke with Jark Wu , who leads the Fluss and Flink SQL team at Alibaba Cloud, to understand its origins and potential. It addresses many of Kafka's challenges in analytical infrastructure. The combination of Kafka and Flink is not a perfect fit for real-time analytics; the integration of Kafka and Lakehouse is very shallow.

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Making Confluent Cloud 10x More Elastic Than Apache Kafka

Confluent

Kafka is horizontally scalable, but it's not enough. So we made Confluent Cloud 10x more elastic - 10x faster to scale up to GB/s or down to zero, easier to use, and cost-effective.

Kafka 115
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Amazon Kinesis is not Apache Kafka

Waitingforcode

Open Source tools helped me switch to the cloud world a lot. The managed cloud services often share the same fundamentals as their Open alternatives. Today I'll focus on these differences for Amazon Kinesis service and Apache Kafka ecosystem. However, there is always something different.

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