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Technology
Data Products, Data Contracts, and Change Data Capture
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...
Introducing Confluent Cloud Freight Clusters
Learn how the latest innovations in Kora enable us to introduce new Confluent Cloud Freight clusters, which can save you up to 90% at GBps+ scale. Confluent Cloud Freight clusters are now available in Early Access.
Contributing to Apache Kafka®: How to Write a KIP
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.
The Confluent Q3 ’22 Launch: Confluent Terraform Provider, Independent Network Lifecycle Management, and More
The Confluent Q3 ‘22 Launch, our latest set of Confluent Cloud product launches, is live and packed full of new features to help your business innovate quickly with real-time data […]
Introducing Confluent Platform 7.2: Enhanced Cloud-Native Security and Geo-Replication
We are pleased to announce the release of Confluent Platform 7.2. With this release, we are further simplifying management tasks for Apache Kafka® operators, providing even more flexible options to […]
How to Find, Share, and Organize Your Data Streams with Stream Catalog
In a modern data stack, being able to discover, understand, organize and reuse data is key to obtaining the most value from your data. These requirements have led to the […]
Building Kafka Storage That’s 10x More Scalable and Performant
As part of our series walking through how we built Confluent Cloud into a 10x better Apache Kafka® service, we explored how Confluent Cloud uses Intelligent Storage to achieve 10x […]
How to Visualize Your Apache Kafka Data the Easy Way with Stream Lineage
Understanding how data flows and is transformed across the different layers of an organization’s application and data stack is one of the most challenging governance problems companies are facing today. […]
How to Keep Bad Data Out of Apache Kafka with Stream Quality
Dealing with garbage in, garbage out (GIGO) has tormented data teams for generations. Analytics and decision making have suffered from this “garbage”. The new era of machine learning and being […]
Managing Hybrid Cloud Data with Cloud-Native Kubernetes APIs
Confluent for Kubernetes (CFK) has added declarative API support for Cluster Linking, allowing you to connect public and private cloud environments with a declarative API. Confluent for Kubernetes provides a […]
Applying Data Pipeline Principles in Practice: Exploring the Kafka Summit Keynote Demo
Real-time data streaming necessitates a new way to think about modern data system design. In the keynote at Kafka Summit London 2022, Confluent CEO Jay Kreps described five principles of […]
How Confluent Treats Incidents in the Cloud
An inevitable consequence of rapid business growth is that there will be incidents: even the best, most well-planned systems will begin to fail when you expand them very quickly. The […]
How to Elastically Scale Apache Kafka Clusters on Confluent Cloud
Elasticity is one of the table stakes for a mature cloud service. Elasticity enables the addition of capacity in a cloud service as needed to meet spikes in demand, and […]
Announcing ksqlDB 0.26
We are excited to bring forward yet another ksqlDB release with ksqlDB 0.26. This time we have focused on improving your experience with aggregate functions, JOINs, and schemas. We have […]
Making Confluent Cloud 10x More Elastic Than Apache Kafka
At the onset of the COVID-19 pandemic in early 2020, Instacart experienced its highest customer demand in history. Its customer-facing applications, backend systems, and business processes were all put to […]
Confluent Cloud: Making an Apache Kafka Service 10x Better
People often imagine that to provide a cloud service for a piece of open source software is a simple matter of packaging up the open source and putting it in […]
Stream Processing vs. Batch Processing: What to Know
With more data being produced in real time by many systems and devices than ever before, it is critical to be able to process it in real time and get […]