[Virtual Event] Agentic AI Streamposium: Learn to Build Real-Time AI Agents & Apps | Register
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...
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...
Explore new Confluent Intelligence features: A2A integration, multivariate anomaly detection, vector search for Cosmos DB and S3 Vectors, Private Link, and MCP support.
Learn how Confluent Cloud and BigQuery Continuous Queries work together to enable real-time data processing, including the benefits of the integration with BigQuery Continuous Query and a step-by-step guide on setting up getting data from BQ Continuous Query and Confluent Cloud to capture data...
The Apache Flink® community released Apache Flink 1.20 this week. In this blog post, we highlight some of the most interesting additions and improvements.
Confluent Cloud for Apache Flink®️ supports AI model inference and enables the use of models as resources in Flink SQL, just like tables and functions. You can use a SQL statement to create a model resource and invoke it for inference in streaming queries.
We are proud to announce the release of Apache Kafka 3.8.0. This release contains many new features and improvements. This blog post highlights some of the more prominent features. For a full list of changes, be sure to check the release notes.
This blog announces the general availability of Confluent Platform 7.7 and its latest key features: Enhanced security with OAuth Support, Confluent Platform for Apache Flink® (LA), a new Connector, and More
The Q2 2024 Confluent Cloud launch introduces a suite of enhancements across the four key pillars of a Data Streaming Platform - Stream, Connect, Process, and Govern – alongside some significant work we have been doing with our partner ecosystem to help customers unlock new possibilities.
A well-known debate: tabs or spaces? Let’s settle the debate, Kafka-style. We’ll use the new confluent-kafka-javascript client to build an app that produces the current state of the vote counts to a Kafka topic and consumes from that same topic to surface them to a JavaScript frontend.
Deploying Apache Kafka at the edge brings significant challenges related to scalability, remote monitoring, and high management costs. Confluent’s enterprise-grade data streaming platform addresses these issues by providing comprehensive features that enhance Kafka’s capabilities, ensuring effici...
In the dynamic landscape of conversational AI, the fusion of Amazon Bedrock and Confluent Cloud offers a groundbreaking solution for businesses seeking to create scalable and perpetually evolving generative AI (GenAI) chatbots. This collaboration ensures real-time data freshness, intelligent con...
Learn why data at rest sometimes needs to be transformed into a stream of data, and learn how to turn a REST API into a data stream using Apache Flink and Apache Kafka. Along the way, you’ll also find out the advantages of having your REST API data in streaming format.
Discuss how to use OpenSearch Ingestion to integrate Confluent with Amazon OpenSearch.
Part two in the series on using FlinkSQL, Kafka, and Streamlit dives into async.io, FlinkSQL syntax, and Streamlit barchart component structure.
In part 1 of this series, we’ll make an app, powered by Kafka and FlinkSQL in Confluent Cloud and visualized with Streamlit, that allows a user to select a stock, in this case SPY, or the SPDR S&P 500 ETF Trust. Upon selection, a live chart of the stock’s bid prices, calculated every five seconds...
The post discusses the Dual-Write Problem in distributed systems, where atomic updates across multiple systems like databases and messaging systems (e.g., Apache Kafka) are challenging, leading to potential inconsistencies. It outlines common anti-patterns that fail to address the issue...