Real-Time Event Distribution with Data Mesh

Real-Time Event Distribution with Data Mesh

Inheriting software in the banking sector can be challenging. Perhaps the only thing harder is inheriting software built by a committee of banks. How do you keep it running, while improving it, refactoring it, and planning a bigger future for it? In this episode, Jean-Francois Garet (Technical Architect, Symphony) shares his experience at Symphony as he helps it evolve from an inherited, monolithic, single-tenant architecture to an event mesh for seamless event-streaming microservices. He tal...

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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

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

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