Confluent Cloud

Confluent Cloud Q1 ’25 introduces Tableflow, Freight clusters, and Flink AI enhancements

Tableflow は、数回のクリックで Kafka Topic を Apache Iceberg® (一般提供) および Delta Lake (早期アクセス) テーブルとして表現し、任意のデータウェアハウス、データレイク、分析エンジンにフィードします。

Discover how Confluent’s BYOK for Enterprise Clusters and support for EKMs enhance security, and efficient data streaming in our latest blog.

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

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.

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.

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.

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.

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.

Confluent Cloud 2024 Q4 adds private networking and mTLS authentication, follower fetching, Flink updates, WarpStream features to support migration and governance, and more!

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.

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.

Since its inception, change data capture (CDC) technology has significantly evolved, transitioning from a tool primarily used for database replication and migration to a cornerstone of real-time streaming. Its pivotal role in modern data architectures enables businesses to harness real-time data...