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.
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Confluent
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.
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.
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.
Cloud Kafka Resiliency and Fault Tolerance | Data Streaming Systems
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.
Current '23 Keynote: Streaming into the Future - The Evolution & Impact of Data Streaming Platforms
Jay Kreps (Confluent Co-Founder and CEO), Shaun Clowes (Confluent CPO), and data streaming leaders from organizations like NASA, Warner Brothers, and Notion explore the past, present, and future of data streaming. They will address two key questions: how can organizations integrate data across their applications to deliver better experiences, and how can they embed data and analytics into every part of the business to drive better decision-making?
Confluent unveils Apache Flink® on Confluent Cloud, making it easier to build real-time applications with stream processing on a unified platform
Confluent launches the industry's only serverless, cloud-native Flink service to simplify building high-quality, reusable data streams. Confluent expands Stream Governance capabilities with Data Portal, so teams can easily find all the real-time data streams in an organisation. New Confluent Cloud Enterprise offering lowers the cost of private networking and storage for Apache Kafka.