Decoupling with Event-Driven Architecture

Decoupling with Event-Driven Architecture

In principle, data mesh architecture should liberate teams to build their systems and gather data in a distributed way, without having to explicitly coordinate. Data is the thing that can and should decouple teams, but proper implementation has its challenges. In this episode, Kris talks to Florian Albrecht (Solution Architect, Hermes Germany) about Galapagos, an open-source DevOps software tool for Apache Kafka® that Albrecht created with his team at Hermes, a German parcel delivery company...

Episoder(289)

Apache Kafka Fundamentals: The Concept of Streams and Tables ft. Michael Noll

Apache Kafka Fundamentals: The Concept of Streams and Tables ft. Michael Noll

If you’ve ever wondered what Apache Kafka® is, what it’s used for, or wanted to learn about Kafka architecture and all its components, buckle up! In today’s episode, Michael Noll (Principal Technologi...

4 Mai 202048min

IoT Integration and Real-Time Data Correlation with Kafka Connect and Kafka Streams ft. Kai Waehner

IoT Integration and Real-Time Data Correlation with Kafka Connect and Kafka Streams ft. Kai Waehner

There are two primary industries within the Internet of Things (IoT): industrial IoT (IIoT) and consumer IoT (CIoT), both of which can benefit from the Apache Kafka® ecosystem, including Kafka Streams...

29 Apr 202040min

Confluent Platform 5.5 | What's New in This Release + Updates

Confluent Platform 5.5 | What's New in This Release + Updates

Confluent Platform 5.5 is out, and Tim Berglund (Senior Director of Developer Advocacy, Confluent) is here to give you the latest updates! The first is improved schema management and Confluent Schema ...

24 Apr 202011min

Making Abstract Algebra Count in the World of Event Streaming ft. Sam Ritchie

Making Abstract Algebra Count in the World of Event Streaming ft. Sam Ritchie

During his time at Twitter, Sam Ritchie (Staff Research Engineer, Google) led the development of Summingbird, a project that helped Twitter ingest and process massive amounts of data. It relieved some...

22 Apr 202046min

Apache Kafka 2.5 – Overview of Latest Features, Updates, and KIPs

Apache Kafka 2.5 – Overview of Latest Features, Updates, and KIPs

Apache Kafka® 2.5 is here, and we’ve got some Kafka Improvement Proposals (KIPs) to discuss! Tim Berglund (Senior Director of Developer Advocacy, Confluent) shares improvements and changes to over 10 ...

16 Apr 202010min

Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart

Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart

Applications, development, deployment, and theory are all key pieces behind customer experience, event streaming, and improving systems and integration. James Urquhart (Global Field CTO, VMware) is w...

15 Apr 202055min

How to Run Kafka Streams on Kubernetes ft. Viktor Gamov

How to Run Kafka Streams on Kubernetes ft. Viktor Gamov

There’s something about YAML and the word “Docker” that doesn’t quite sit well with Viktor Gamov (Developer Advocate, Confluent). But Kafka Streams on Kubernetes is a phrase that does. Kubernetes is a...

6 Apr 202041min

Cloud Marketplace Considerations with Dan Rosanova

Cloud Marketplace Considerations with Dan Rosanova

As the fundamental data abstractions used by developers have changed over time, event streams are now the present and the future. Coming from decades of experience in messaging, Dan Rosanova (Senior G...

30 Mar 202033min

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