Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
By this point, just about everybody has had a go playing with ChatGPT, making it do all sorts of wonderful and strange things. But how do you go beyond just messing around and using it to build a real-world, production application?
Learn why stream processing is such a critical component of the data streaming stack, why developers are choosing Apache Flink as their stream processing framework of choice, and how to use Flink with Kafka.
Learn what windowing is in Kafka Streams and get comfortable with the differences between the main types.
Self-managing connectors come with major time and resource challenges and taking on unnecessary risks of downtime that shift your team’s focus away from working on more strategic projects and innovations...
If you’ve used Kafka for any amount of time you’ve likely heard about connections; the most common place that they come up is in regard to clients. Sure, producer and consumer clients connect to the cluster to do their jobs, but it doesn’t stop there. Nearly all interactions across a cluster...
Setting up proactive, synthetic monitoring is critical for complex, distributed systems like Apache Kafka®, especially when deployed on Kubernetes and where the end-user experience is concerned, and is paramount for healthy real-time data pipelines...
This Thanksgiving-themed blog post walks through a brand new stream processing use case recipe for analyzing survey responses in real-time and gives ideas for how to spice it up and make the recipe your own!
The call for papers for Kafka Summit London 2023 has opened, and we’re looking to hear about your experiences using and working with Kafka. Every great technical talk starts with an experience. If you’re stuck looking for ideas on what to talk about, write what you know...
Confluent Cloud hosts Apache Kafka®, Kafka Connect, ksqlDB, and more. Here’s how we re-architected the system for a new deployment platform with zero downtime...
Rebalancing comes into play in Apache Kafka® when consumers join or leave a consumer group. In either case, there is a different number of consumers over which to distribute the partitions from the topic(s), and, so, they must be redistributed and rebalanced....
It can be easy to go about life without thinking about them, but requests are an important part of Apache Kafka; they form the basis of how clients interact with data as it moves into and out of Kafka topics, and, in certain cases, too many requests can have a negative impact on your brokers...
We are pleased to announce the release of Confluent Platform 7.3. This release accelerates mainframe modernization and unlocks data from legacy systems, increases efficiency while further simplifying management tasks for Apache Kafka® operators, and makes it easier for developers to...
This blog post explores the need to implement security for your Apache Kafka® cluster, then briefly reviews the security features and advantages of using Confluent Cloud.
When you encounter a problem with Apache Kafka®—for example, an exploding number of connections to your brokers or perhaps some wonky record batching—it’s easy to consider these issues as something to be solved in and of themselves...
Learn how to build an end-to-end motion detection and alerting system using Confluent Cloud, Kafka clusters, and ksqlDB.
Announcing the complete guide to Schema Registry. In our course, you’ll learn the basics, like how schema registry works, key concepts, how to manage schemas, and more!
Joining two topics to aggregate the data is one of the fundamental operations in stream processing. But that's not to say that it's simple. Let me show you what can go wrong!