[Webinar] Unlock Data Value Framework for Data Products | Register Now
Confluent Cloud
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...
Unlock Cost Savings with Freight Clusters–Now in General Availability
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.
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.
Confluent for VS Code Simplifies Real-Time Data Streaming Projects for Developers
We’re excited to announce that Confluent for VS Code is now Generally Available with Confluent Cloud and Confluent Platform! This integration with Visual Studio Code is open source, readily accessible on the VS Code Marketplace, and supports all forms of Apache Kafka® deployments.
New in Confluent Cloud: Tableflow, Freight Clusters, Apache Flink® AI Enhancements, and More
Confluent Cloud Q1 ’25 introduces Tableflow, Freight clusters, and Flink AI enhancements
Tableflow Is GA: Unifying Apache Kafka® Topics with Apache Iceberg™️ and Delta Lake Tables in a Few Clicks
Tableflow represents Kafka topics as Apache Iceberg® (GA) and Delta Lake (EA) tables in a few clicks to feed any data warehouse, data lake, or analytics engine of your choice
Protect Your Data With Self-Managed Keys (BYOK) Enhancements
Discover how Confluent’s BYOK for Enterprise Clusters and support for EKMs enhance security, and efficient data streaming in our latest blog.
Cluster Linking for Azure Private Link is Now Available in Confluent Cloud
Confluent Cloud now supports Cluster Linking for Azure Private Link, enabling secure data replication between Kafka clusters in private Azure environments. With Cluster Linking, organizations can achieve real-time data movement, disaster recovery, migrations, and secure data sharing
Managing Data Contracts: Helping Developers Codify “Shift Left”
The concept of “shift left” in building data pipelines involves applying stream governance close to the source of events. Let’s discuss some tools (like Terraform and Gradle) and practices used by data streaming engineers to build and maintain those data contracts.
Automating Podcast Promotion with AI and Event-Driven Design
We built an AI-powered tool to automate LinkedIn post creation for podcasts, using Kafka, Flink, and OpenAI models. With an event-driven design, it’s scalable, modular, and future-proof. Learn how this system works and explore the code on GitHub in our latest blog.
Optimize SaaS Integration with Fully Managed HTTP Connectors V2 for Confluent Cloud
Learn how an e-commerce company integrates the data from its Stripe system with the Pinecone vector database using the new fully managed HTTP Source V2 and HTTP Sink V2 Connectors along with Flink AI model inference in Confluent Cloud to enhance its real-time fraud detection.
Unlock Cost Savings with Freight Clusters–Now in General Availability
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.
New Security Tools to Protect Your New Year’s Resolutions
Confluent's advanced security and connectivity features allow you to protect your data and innovate confidently. Features like Mutual TLS (mTLS), Private Link for Schema Registry, and Private Link for Flink, not only bolster security but also streamline network architecture and improve performance.
New in Confluent Cloud: Extending Private Networking Across the Data Streaming Platform
Confluent Cloud 2024 Q4 adds private networking and mTLS authentication, follower fetching, Flink updates, WarpStream features to support migration and governance, and more!
Integrating Microservices with Confluent Cloud Using Micronaut® Framework
Continuing our discussion of JVM microservices frameworks used with Apache Kafka, we introduce Micronaut. Let’s integrate a Micronaut microservice with Confluent Cloud—using Stream Governance—and test the Kafka integration with TestContainers.
Securely Query Confluent Cloud from Amazon Redshift with mTLS
With both Confluent and Amazon Redshift supporting mTLS, streaming developers and architects are able to take advantage of a native integration that allows Amazon Redshift to query Confluent Cloud topics.
