Autonomous Microservices | Microservices 101
Autonomous microservices are more robust and scalable. By avoiding synchronous dependencies, they avoid potential bottlenecks and failures. Learn key principles in this video.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Data Streaming
Using Data Contracts with Confluent Schema Registry
The Confluent Schema Registry plays a pivotal role in ensuring that producers and consumers in a streaming platform are able to communicate effectively. Ensuring the consistent use of schemas and their versions allows producers and consumers to easily interoperate, even when schemas evolve over time.
How To Manage Stateful Streams with Apache Flink and Java
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 - New Features & Improvements
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.
Introducing Apache Kafka 3.6
We are proud to announce the release of Apache Kafka® 3.6.0. This release contains many new features and improvements. This blog post will highlight some of the more prominent features. For a full list of changes, be sure to check the release notes.
From Monoliths to Microservices | Microservices 101
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.
Produce Apache Kafka Messages using Apache Flink and Java
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.
Customer Stories: How Streaming Pipelines Drive Better Business Outcomes
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.
Data Streaming Cheat Sheet and Checklist | Data Streaming Systems
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.
An Introduction to Apache Kafka Consumer Group Strategy
Ever dealt with a misbehaving consumer group? Imbalanced broker load? This could be due to your consumer group and partitioning strategy! Once, on a dark and stormy night, I set myself up for this error. I was creating an application to demonstrate how you can use Apache Kafka® to decouple microservices. The function of my “microservices” was to create latte objects for a restaurant ordering service.