Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools

Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools

Stream processing can be hard or easy depending on the approach you take, and the tools you choose. This sentiment is at the heart of the discussion with Matthias J. Sax (Apache Kafka® PMC member; Software Engineer, ksqlDB and Kafka Streams, Confluent) and Jeff Bean (Sr. Technical Marketing Manager, Confluent). With immense collective experience in Kafka, ksqlDB, Kafka Streams, and Apache Flink®, they delve into the types of stream processing operations and explain the different ways of solvi...

Episoder(285)

Rolling Kafka Upgrades and Confluent Cloud ft. Gwen Shapira

Rolling Kafka Upgrades and Confluent Cloud ft. Gwen Shapira

If you operate a Kafka cluster, hopefully you upgrade your brokers occasionally. Each release of Apache Kafka® includes detailed documentation that describes a tested procedure for doing a rolling upg...

25 Jun 201942min

Deploying Confluent Platform, from Zero to Hero ft. Mitch Henderson

Deploying Confluent Platform, from Zero to Hero ft. Mitch Henderson

Mitch Henderson (Technical Account Manager, Confluent) explains how to plan and deploy your first application running on Confluent Platform. He covers critical factors to consider, like the tools and ...

18 Jun 201932min

Why Kafka Connect? ft. Robin Moffatt

Why Kafka Connect? ft. Robin Moffatt

In this episode, Tim talks to Robin Moffatt about what Kafka Connect is and why you should almost certainly use it if you're working with Apache Kafka®️. Whether you're building database offload pipel...

12 Jun 201946min

Schema Registry Made Simple by Confluent Cloud ft. Magesh Nandakumar

Schema Registry Made Simple by Confluent Cloud ft. Magesh Nandakumar

Tim Berglund and Magesh Nandakumar (Software Engineer, Confluent) discuss why schemas matter for building systems on Apache Kafka®, and how Confluent Schema Registry helps with the problem. They talk ...

3 Jun 201941min

Why is Stream Processing Hard? ft. Michael Drogalis

Why is Stream Processing Hard? ft. Michael Drogalis

Tim Berglund and Michael Drogalis (Product Lead for Kafka Streams and KSQL, Confluent) talk about all things stream processing: why it’s complex, how it's evolved, and what’s on the horizon to make it...

29 Mai 201945min

Testing Kafka Streams Applications with Viktor Gamov

Testing Kafka Streams Applications with Viktor Gamov

Tim Berglund is joined by Viktor Gamov (Developer Advocate, Confluent) to discuss various approaches to testing Kafka Streams applications. EPISODE LINKS KafkaEmbeddedTopologyTestDriverMocked Streams...

20 Mai 201942min

Chris Riccomini on the History of Apache Kafka and Stream Processing

Chris Riccomini on the History of Apache Kafka and Stream Processing

It’s a problem endemic to the tech world that we are always focused on what’s coming next, that we often forget to look at where we’ve been. Chris Riccomini, who was there at LinkedIn when Apache Kafk...

16 Mai 201950min

Ask Confluent #13: Machine Learning with Kai Waehner

Ask Confluent #13: Machine Learning with Kai Waehner

Gwen and Kai chat about machine learning architectures, and whether software engineers and data scientists can learn to get along. EPISODE LINKS Blogs on deploying machine learning workloads: Machine...

8 Mai 201933min

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