Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell

Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell

If you ever wondered what exactly dead letter queues (DLQs) are and how to use them, Jason Bell (Senior DataOps Engineer, Digitalis) has an answer for you. Dead letter queues are a feature of Kafka Connect that acts as the destination for failed messages due to errors like improper message deserialization and improper message formatting. Lots of Jason’s work is around Kafka Connect and the Kafka Streams API, and in this episode, he explains the fundamentals of dead letter queues, how to use t...

Jaksot(283)

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 Kesä 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 Kesä 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 Kesä 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 Kesä 202132min

Running Apache Kafka Efficiently on the Cloud ft. Adithya Chandra

Running Apache Kafka Efficiently on the Cloud ft. Adithya Chandra

Focused on optimizing Apache Kafka® performance with maximized efficiency, Confluent’s Product Infrastructure team has been actively exploring opportunities for scaling out Kafka clusters. They are ab...

25 Touko 202138min

Engaging Database Partials with Apache Kafka for Distributed System Consistency ft. Pat Helland

Engaging Database Partials with Apache Kafka for Distributed System Consistency ft. Pat Helland

When compiling database reports using a variety of data from different systems, obtaining the right data when you need it in real time can be difficult. With cloud connectivity and distributed data pi...

20 Touko 202142min

The Truth About ZooKeeper Removal and the KIP-500 Release in Apache Kafka ft. Jason Gustafson and Colin McCabe

The Truth About ZooKeeper Removal and the KIP-500 Release in Apache Kafka ft. Jason Gustafson and Colin McCabe

Jason Gustafson and Colin McCabe, Apache Kafka® developers, discuss the project to remove ZooKeeper—now known as the KRaft (Kafka on Raft) project. A previous episode of Streaming Audio featured both ...

13 Touko 202131min

Resilient Edge Infrastructure for IoT Using Apache Kafka ft. Kai Waehner

Resilient Edge Infrastructure for IoT Using Apache Kafka ft. Kai Waehner

What is the internet of things (IoT), and how does it relate to event streaming and Apache Kafka®? The deployment of Kafka outside the datacenter creates many new possibilities for processing data in ...

4 Touko 202127min

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