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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...
Confluent Cloud Freight clusters are now Generally Available on AWS. In this blog, learn how Freight clusters can save you up to 90% at GBps+ scale.
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.
In this post, we introduce how to use .NET Kafka clients along with the Task Parallel Library to build a robust, high-throughput event streaming application...
Learn what a Kafka® consumer group ID is and how assigning one to Kafka consumers during configuration helps with detecting new data, work sharing, and data recovery.
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...
Today, 92% of the world’s top 100 banks and 72% of the top 25 retailers use mainframes to deliver secure, highly reliable data for their customers. Citigroup even estimates that while banks spend over $200 billion a year on IT, nearly 80% of that money goes towards maintaining mainframe-dependent
Over the last decade, there’s been a massive movement toward digitization. Enterprises are defining their business models, products, and services to innovate, thrive, and compete by being able to quickly discover, understand, and apply their data assets to power real-time use cases.
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...
Businesses are generating more data than ever on a daily basis. As a result, many enterprises are undergoing a digital transformation that centers on their ability to contextualize and harness the value of their data in real time.
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...
Since college, Senior Manager of Growth Marketing Meshach Cisero has advocated for the Black community by building awareness of and inclusivity for underrepresented people. Below, Meshach discusses how he’s brought that advocacy to the tech industry at Confluent
We are headed back to Las Vegas! Team Confluent is excited and ready to meet you in person at AWS re:Invent 2022, November 28 through December 2. As a Diamond sponsor...
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....