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...
Confluent's AI developer tools are now GA: an open-source local MCP server, a managed MCP server, and Agent Skills. Together they give AI coding assistants direct access to your streaming platform — the tools to act on it and the domain knowledge to build correctly.
Real-Time Context Engineによるクエリ機能の強化、PII検出、センチメント分析、およびTimesFM、Anthropic、Fireworks AIの各モデルのサポートなど、Confluent Intelligenceの新機能をご紹介します。
Agent Taskflow built a multi‑agent AI platform on Confluent Cloud and AWS that can scale from one to one million agents with sub‑30ms latency. This post breaks down their architecture, benchmark results, and why an event‑driven backbone is critical for production agentic AI.
CISOs are shifting from expensive, locked-in SIEMs to Open Security Lakes using Apache Iceberg. Confluent powers this decoupled architecture by filtering data in real-time, slashing ingestion costs, breaking vendor lock-in, and enabling faster threat detection.
Batch ELT pipelines create duplication, cost spikes, and governance gaps as data scales. Here’s why enterprises are rethinking legacy integration models.
Learn how to add your first ML model to a real-time streaming pipeline. Learn a simple, low-risk pattern for inference, scoring, and deployment with Apache Kafka®.
Confluent Cloud for Government は FedRAMP Moderate 認証を取得しており、連邦政府、州政府、地方政府は安全でフルマネージドのデータストリーミングを 展開することができます。このプラットフォームは、自己管理型 Kafka の運用上の負担を軽減することで、機関がデータサイロを解体し、レガシーを最新化できるようサポートします...
Confluent’s Schema IDs in headers transform Kafka from "dumb pipes" to a "smart data plane." By moving metadata out of payloads, teams can schematize topics without breaking legacy apps or requiring big-bang migrations. This unlocks governed, AI-ready data for Flink and lakehouses with ease.
Design energy-efficient, low-cost streaming systems. Learn GreenOps patterns to reduce compute waste, optimize storage, and lower the carbon footprint of real-time data.
At Confluent, our mission is to provide the world’s most secure and scalable data streaming platform. As cryptographic standards evolve to meet the challenges of the future, we are committed to ensuring your data remains protected against emerging threats—including the eventual development of Cr...
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...
Learn how real-time decisioning and autonomous data systems enable organizations to act on data instantly using streaming, automation, and AI.
Meet Akshay Ben, Senior Software Engineer II at Confluent, and learn how IAM, RBAC, and platform security enable faster, scalable product launches.
Explore the latest Confluent client updates, featuring Python asyncio general availability, improved support for Schema Registry and more.
Confluent Intelligenceの新機能として、A2A連携、マルチ変量異常検知、Cosmos DBおよびS3 Vectors向けベクトル検索、Private Link、MCP対応が追加されました。
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.