Data ownership is a critical feature of microservices. Without it, many of the benefits vanish. In this video, you'll learn how to implement data ownership in your own microservices.

Over the last few years, DISH Wireless has turned to AWS partners like Confluent to build an entirely new type of telecommunication infrastructure—a cloud-native network built to empower developers. Discover how data streaming allows DISH Wireless to: Deliver data products that turn network data into business value for customers Harness massive volumes of data to facilitate the future of app communications Seamlessly connect apps and devices across hybrid cloud environments.

Autonomous microservices are more robust and scalable. By avoiding synchronous dependencies, they avoid potential bottlenecks and failures. Learn key principles in this video.

Managing state efficiently in a distributed streaming pipeline can be difficult. Thankfully, Apache Flink® has you covered. In this video, Wade Waldron will demonstrate how to use Flink's Keyed State feature to manage the state in a distributed cluster.

Apache Kafka® 3.6 is here! On behalf of the Kafka community, Danica Fine highlights key release updates, with KIPs from Kafka Core, Kafka Streams, and Kafka Connect.

Monoliths and Microservices are often seen as opposing design patterns. In this video, we explore the differences between the two, but also find some common ground between them.

Getting started with Apache Flink® can be challenging. In this short video, Wade Waldron will walk you through a complete example of how to produce Apache Kafka® messages using Apache Flink and Java.

Discover why enterprises rely on Confluent Cloud to realize performance, scalability and reliability while unlocking powerful streaming data pipeline use cases that drive business efficiency and increase revenue.

Thank you for watching this course. We have a few additional resources for you to dig deeper and be fully equiped to start your data in motion journey: a comprehensive cheat sheet with a check list of what you need to verify before going to production and a sneak preview of what we saved for the follow-up course.

Learn how to manage cloud volatility when running applications on Confluent Cloud. Understand how to optimally configure Kafka client for resilient cloud operations and explore error handling patterns in Kafka Streams. Leverage concepts like idempotent producers and consumers, and exactly one processing semantics.