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Technology
Introducing Confluent Private Cloud: Cloud-Level Agility for Your Private Infrastructure
Confluent Private Cloud (CPC) is a new software package that extends Confluent’s cloud-native innovations to your private infrastructure. CPC offers an enhanced broker with up to 10x higher throughput and a new Gateway that provides network isolation and central policy enforcement without client...
Queues for Apache Kafka® Is Here: Your Guide to Getting Started in Confluent
Confluent announces the General Availability of Queues for Kafka on Confluent Cloud and Confluent Platform with Apache Kafka 4.2. This production-ready feature brings native queue semantics to Kafka through KIP-932, enabling organizations to consolidate streaming and queuing infrastructure while...
New in Confluent Intelligence: A2A, Multivariate Anomaly Detection, Vector Search for Cosmos DB, Amazon S3 Vectors, and More
Explore new Confluent Intelligence features: A2A integration, multivariate anomaly detection, vector search for Cosmos DB and S3 Vectors, Private Link, and MCP support.
The Power of Predictive Analytics in Business: Using Generative AI and Confluent
Unlock the future of business decision-making with predictive analytics. From forecasting trends to optimizing operations, see how generative AI and Confluent's real-time data streaming empower organizations to transform raw data into actionable insights.
Generative AI Meets Data Streaming (Part I) – Data as the Engine: Building the AI Fundamentals
This blog series explores how technologies like generative AI, RAG, VectorDBs, and DSPs can work together to provide the freshest and most actionable data. Part 1 lays the foundation for understanding how data fuels AI, and why having the right data at the right time is essential for success.
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.
Queues in Apache Kafka®: Enhancing Message Processing and Scalability
Adding queue support to Kafka opens up a world of new possibilities for users, making Kafka even more versatile. By combining the strengths of traditional queue systems with Kafka’s robust log-based architecture, customers now have a solution that can handle both streaming and queue processing.
Introducing Confluent’s JavaScript Client for Apache Kafka®
Confluent launches the general availability of a new JavaScript client for Apache Kafka®, a fully supported Kafka client for JavaScript and TypeScript programmers in Node.js environments.
Confluent’s Customer Zero: Supercharge Lead Scoring with Apache Flink® and Google Cloud Vertex AI, Part 1
This blog details an end-to-end real-time prediction project leveraging the combined capabilities of Confluent Cloud stacks and Google Cloud Vertex AI. This project aims to deliver a streamlined solution for real-time prediction applications, catering to the evolving needs and challenges of moder...
Unify Streaming and Analytical Data with Apache Iceberg®, Confluent Tableflow, and Amazon SageMaker® Lakehouse
Tableflow can seamlessly make your Kafka operational data available to your AWS analytics ecosystem with minimal effort, leveraging the capabilities of Confluent Tableflow and Amazon SageMaker Lakehouse.
New with Confluent Platform 7.8: Confluent Platform for Apache Flink® (GA), mTLS Identity for RBAC Authorization, and More
This blog announces the general availability of Confluent Platform 7.8 and its latest key features: Confluent Platform for Apache Flink® (GA), mTLS Identity for RBAC Authorization, and more.
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.
CDC and Data Streaming: Capture Database Changes in Real Time with Debezium PostgreSQL Connector
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...
Deep Dive into Handling Consumer Fetch Requests: Kafka Producer and Consumer Internals, Part 4
Dive into the inner workings of brokers as they serve data up to a consumer.
Introducing Apache Kafka® 3.9
We are proud to announce the release of Apache Kafka 3.9.0. This is a major release, the final one in the 3.x line. This will also be the final major release to feature the deprecated Apache ZooKeeper® mode. Starting in 4.0 and later, Kafka will always run without ZooKeeper.
Shift Left: Headless Data Architecture, Part 2
Building a headless data architecture requires us to identify the work we’re already doing deep inside our data analytics plane, and shift it to the left. Learn the specifics in this blog.