Introducing Streamhouse: the open data architecture for AI | Learn More
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
Learn how to migrate to Confluent Cloud in hours using Confluent’s open source Kafka Copy Paste tool. Get an in-depth introduction to the KCP tool and a walk-through of the four steps of migrating from MSK to Confluent Cloud using the tool.
ConfluentのAI開発者向けツールが一般提供(GA)されました。これには、オープンソースのローカルMCP Server、マネージドのMCP Server、およびAgent Skillsが含まれます。これらを組み合わせることで、AIコーディングアシスタントはお客様のストリーミングプラットフォームに直接アクセスできるようになります。つまり、プラットフォーム上で処理を実行するためのツールと、正しく構築するためのドメイン知識が提供されました。
This article explores how event-driven design—a proven approach in microservices—can address the chaos, creating scalable, efficient multi-agent systems. If you’re leading teams toward the future of AI, understanding these patterns is critical. We’ll demonstrate how they can be implemented.
Real-time data streaming and GenAI are advancing Singapore's Smart Nation vision. As AI adoption grows, challenges from data silos to legacy infrastructure can slow progress - but Confluent, through IMDA's Tech Acceleration Lab, is helping orgs overcome hurdles and develop smarter citizen services.
Learn how Flink enables developers to connect real-time data to external models through remote inference, enabling seamless coordination between data processing and AI/ML workflows.
Learn how to use the recently launched Provisioned Mode for Lambda’s Kafka ESM to build high throughput Kafka applications with Confluent Cloud’s Kafka platform. This blog also exhibits a sample scenario to activate and test the Provisioned Mode for ESM, and outline best practices.
Learn how Confluent Champion Suguna motivates her team of engineers to solve complex problems for customers—while challenging herself to keep growing as a manager.
An expanded partnership between Confluent and Databricks will dramatically simplify the integration between analytical and operational systems, so enterprises spend less time fussing over siloed data and governance and more time creating value for their customers.
Confluent for Startups AI Accelerator プログラムに新しく参加いただいた初期段階のスタートアップ企業をご紹介します。この10週間のバーチャルプログラムは、リアルタイムの 生成AI(GenAI)アプリケーションを開発している次世代のAIイノベーターを支援するために設計されています。
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.
FLIP 304 lets you customize and enrich your Flink failure messaging: Assign types to failures, emit custom metrics per type, and expose your failure data to other tools.
Discover how to unlock the full potential of data streaming with Confluent's "Ultimate Data Streaming Guide." This comprehensive resource maps the journey to becoming a Data Streaming Organization (DSO), with best practices, industry success stories, & insights to scale your data streaming strategy.
Before deploying agentic AI, enterprises should be prepared to address several issues that could impact the trustworthiness and security of the system.
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.
Jump-start a new use case with our new Build with Confluent partners and solutions.
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.