Championing Serverless Eventing at Google Cloud ft. Jay Smith
Jay Smith helps Google Cloud users modernize their applications with serverless eventing. This helps them focus on their code instead of managing infrastructure, as well as ultra-fast deployments and ...
26 Elo 202047min
Disaster Recovery with Multi-Region Clusters in Confluent Platform ft. Anna McDonald and Mitch Henderson
Multi-Region Clusters improve high availability in Apache Kafka®, ensure cluster replication across multiple zones, and help with disaster recovery. Making sure users are successful in every area of ...
17 Elo 202043min
Developer Advocacy (and Kafka Summit) in the Pandemic Era
All Confluent developer advocates...assemble! COVID-19 has changed the face of meetings and events, halting all in-person gatherings and forcing companies to adapt on the fly. In today's episode of St...
12 Elo 202041min
Apache Kafka 2.6 - Overview of Latest Features, Updates, and KIPs
Apache Kafka® 2.6 is out! This release includes progress toward removing ZooKeeper dependency, adding client quota APIs to the admin client, and exposing disk read and write metrics, and support for J...
6 Elo 202010min
Testing ksqlDB Applications ft. Viktor Gamov
Viktor Gamov (Developer Advocate, Confluent) returns to Streaming Audio to explain the magic of ksqlDB, ideal testing environments for ksqlDB, and the ksqlDB test runner. For those who are just starti...
3 Elo 202039min
How to Measure the Business Value of Confluent Cloud ft. Lyndon Hedderly
As developers, we are good at envisioning the future state of any given system we want to build, but are we as good at telling the business how those changes positively impact the bottom line? Lyndon...
27 Heinä 202054min
Modernizing Inventory Management Technology ft. Sina Sojoodi and Rohit Kelapure
Inventory management systems are crucial for reducing real-time inventory data drift, improving customer experience, and minimizing out-of-stock events. Apache Kafka®’s real-time data technology provi...
20 Heinä 202041min
Fault Tolerance and High Availability in Kafka Streams and ksqlDB ft. Matthias J. Sax
Apache Kafka® Committer and PMC member Matthias J. Sax explains fault tolerance, high-availability stream processing, and how it’s done in Kafka Streams. He discusses the differences between changelog...
15 Heinä 202054min
