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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Magnus Edenhill on librdkafka 1.0

Magnus Edenhill on librdkafka 1.0

After several years of development, librdkafka has finally reached 1.0! It remains API compatible with older versions of the library, so you won’t need to make any changes to your application. There a...

3 Huhti 201946min

Ask Confluent #11: More Services, More Metrics, More Fun

Ask Confluent #11: More Services, More Metrics, More Fun

Do metrics for detecting clients from old versions actually exist? Or is Gwen making features up? This and more useful advice is coming up on today's episode of Ask Confluent. EPISODE LINKS The Java ...

26 Maalis 201914min

It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden

It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden

Nick Dearden explains the five stages of streaming maturity. They are not denial, anger, bargaining, depression and acceptance—that’s the Kübler-Ross model, and it’s for bad things. This one is for aw...

18 Maalis 201936min

Containerized Apache Kafka On Kubernetes with Viktor Gamov

Containerized Apache Kafka On Kubernetes with Viktor Gamov

Kubernetes provides all the building blocks needed to run stateful workloads, but creating a truly enterprise-grade Apache Kafka® platform that can be used in production is not always intuitive. In th...

11 Maalis 201941min

Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt

Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt

We all know that feeling of waiting when your ride is running late. Leslie Kurt shares about how you can use KSQL to calculate the difference between the expected arrival time and real-time updates of...

4 Maalis 201919min

KTable Update Suppression (and a Bunch About KTables) ft. John Roesler

KTable Update Suppression (and a Bunch About KTables) ft. John Roesler

When you are dealing with streaming data, it might seem like tables are things that dwell in the far-off land of relational databases, outside of Apache Kafka and your event streaming system. But then...

27 Helmi 201945min

Splitting and Routing Events with KSQL ft. Pascal Vantrepote

Splitting and Routing Events with KSQL ft. Pascal Vantrepote

Tim Berglund chats with System Engineer Pascal Vantrepote about a KSQL recipe he created based on a real-life customer use case in the financial services industry. They also discuss the advantages of ...

25 Helmi 201920min

Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis

Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis

Want to know how Kafka Connect distributes tasks to workers? Always thought Connect rebalances could be improved? In this episode of Ask Confluent, Gwen Shapira speaks with Konstantine Karantasis, sof...

20 Helmi 201921min

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