Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs

Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs

What is GraphQL? And how can you combine GraphQL with Apache Kafka® to query data in real time? With over 10 years of experience as a backend engineer, Gerard Klijs is a Confluent Community Catalyst, a contributor to several GraphQL libraries, and also a creator and maintainer of a Rust library to use Confluent Schema Registry with Java client. In this episode, he explains why you want to use Kafka with GraphQL and how they work together to bridge the gap between backend and frontend to make ...

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Consistent, Complete Distributed Stream Processing ft. Guozhang Wang

Consistent, Complete Distributed Stream Processing ft. Guozhang Wang

Stream processing has become an important part of the big data landscape as a new programming paradigm to implement real-time data-driven applications. One of the biggest challenges for streaming syst...

22 Juli 202129min

Powering Real-Time Analytics with Apache Kafka and Rockset

Powering Real-Time Analytics with Apache Kafka and Rockset

Using large amounts of streaming data increasingly requires interactive, real-time analytics and dashboards—and this applies to any industry, including tech. CTO and Co-Founder of Rockset Dhruba Borth...

15 Juli 202125min

Automated Event-Driven Architectures and Microservices with Apache Kafka and SmartBear

Automated Event-Driven Architectures and Microservices with Apache Kafka and SmartBear

Is it possible to have automated adoption of your event-driven architectures and microservices? The answer is yes! Alianna Inzana, product leader for API testing and virtualization at SmartBear, uses ...

8 Juli 202129min

Data-Driven Digitalization with Apache Kafka in the Food Industry at BAADER

Data-Driven Digitalization with Apache Kafka in the Food Industry at BAADER

Coming out of university, Patrick Neff (Data Scientist, BAADER) was used to “perfect” examples of datasets. However, he soon realized that in the real world, data is often either unavailable or unstru...

29 Juni 202127min

Chaos Engineering with Apache Kafka and Gremlin

Chaos Engineering with Apache Kafka and Gremlin

The most secure clusters aren’t built on the hopes that they’ll never break. They are the clusters that are broken on purpose and with a specific goal. When organizations want to avoid systematic weak...

22 Juni 202135min

Boosting Security for Apache Kafka with Confluent Cloud Private Link ft. Dan LaMotte

Boosting Security for Apache Kafka with Confluent Cloud Private Link ft. Dan LaMotte

Confluent Cloud isn’t just for public access anymore. As the requirement for security across sectors increases, so does the need for virtual private cloud (VPC) connections. It is becoming more common...

15 Juni 202125min

Confluent Platform 6.2 | What’s New in This Release + Updates

Confluent Platform 6.2 | What’s New in This Release + Updates

Based on Apache Kafka® 2.8, Confluent Platform 6.2 introduces Health+, which offers intelligent alerting, cloud-based monitoring tools, and accelerated support so that you can get notified of potentia...

10 Juni 20219min

Adopting OpenTelemetry in Confluent and Beyond ft. Xavier Léauté

Adopting OpenTelemetry in Confluent and Beyond ft. Xavier Léauté

Collecting internal, operational telemetry from Confluent Cloud services and thousands of clusters is no small feat. Stakeholders need to rely on the same data to make operational decisions. Whether i...

8 Juni 202132min

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