Technology

Check out all the highlights from the Apache Flink® 1.19 release!

Learn about the bits and bytes of what happens behind the scenes in the Apache Kafka producer and consumer clients when communicating with the Schema Registry and serializing and deserializing messages.

Several key new features have been added to Confluent Cloud for Apache Flink this year including Topic Actions, Terraform support, and expansion into GCP and Azure. Let's take a look at these enhancements and how they empower users to harness the full potential of streaming data.

Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...

Apache Kafka 3.7 introduces updates to the Consumer rebalance protocol, an official Apache Kafka Docker image, JBOD support in Kraft-based clusters, and more!

Over the last two years, we have periodically announced Confluent Platform releases, each building on top of the innovative feature set from the previous release. Today, we will talk about some of these core features that make hybrid and on-premises data streaming simple, secure, and resilient.

Learn how to use Confluent for Kubernetes to enable GitOps with a CI/CD pipeline and delegate resource creation to groups of people without distributing admin permission passwords to other people in the organization.

Turning events into outcomes at scale is not easy! It starts with knowing what events are actually meaningful to your business or customer’s journey and capturing them. At Confluent, we have a good sense of what these critical events or moments are.

Confluent offers a powerful CLI that lets you quickly create and manage Apache Kafka® clusters and Apache Flink® compute pools and all associated operations with both. The CLI now supports plugins that allow for custom commands and creation of dynamic workflows and automation.

At Current 2023, we announced that Confluent Cloud is now up to 10x faster than Apache Kafka®, thanks to Kora, The Cloud-Native Kafka engine that powers Confluent Cloud. In this blog post, we will cover what that means in more depth.

Our latest updates to Confluent Cloud focus on enabling customers to realize a seamless experience using our data streaming platform. With these improvements, we aim to provide a more streamlined and secure experience, allowing users to focus on leveraging real-time data to drive business outcomes.

Imagine easily enriching data streams and building stream processing applications in the cloud, without worrying about capacity planning, infrastructure and runtime upgrades, or performance monitoring. That's where our serverless Apache Flink® service comes in.

Learn how to configure Azure Active Directory DS (Azure AD DS) and Confluent Cloud so that the Azure Directory can be used to authenticate and authorize applications to use Confluent Cloud clusters.

As companies increase their use of real-time data, we have seen the proliferation of Kafka clusters within many enterprises. Often, siloed application and infrastructure teams set up and manage new clusters to solve new use cases as they arise. In many large, complex enterprises, this organic growth