Real-time Threat Detection Using Machine Learning and Apache Kafka

Real-time Threat Detection Using Machine Learning and Apache Kafka

Can we use machine learning to detect security threats in real-time? As organizations increasingly rely on distributed systems, it is becoming more important to analyze the traffic that passes through those systems quickly. Confluent Hackathon ’22 finalist, Géraud Dugé de Bernonville (Data Consultant, Zenika Bordeaux), shares how his team used TensorFlow (machine learning) and Neo4j (graph database) to analyze and detect network traffic data in real-time. What started as a research and develo...

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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 Kesä 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 Touko 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 Touko 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 Touko 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 Touko 201933min

Diving into Exactly Once Semantics with Guozhang Wang

Diving into Exactly Once Semantics with Guozhang Wang

It has been said that in distributed messaging, there are two hard problems: 2) exactly once delivery, 1) guaranteed order of messages and 2) exactly once delivery. Apache Kafka® has offered exactly o...

22 Huhti 201947min

Ask Confluent #12: In Search of the Lost Offsets

Ask Confluent #12: In Search of the Lost Offsets

Stanislav Kozlovski joins us to discuss common pitfalls when using Kafka consumers and a new KIP that promises to make consumer restarts much smoother. EPISODE LINKS KIP-345: Static consumer membersh...

17 Huhti 201922min

Ben Stopford on Microservices and Event Streaming

Ben Stopford on Microservices and Event Streaming

Microservices are pretty ubiquitous these days. Really “SOA done right,” they reimagine the services pattern in the context of the world we live in today, nearly two decades since the first big servic...

8 Huhti 201958min

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