Confluent Blog
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...
AI Tools for Builders — Confluent's MCP Server & Agent Skills
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.
Confluent Intelligenceの新機能：Real-Time Context Engineのアップグレードや新しいモデルのサポート、ML関数など
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。
Proven: Up to 73% Fewer Brokers With Confluent Private Cloud – and More
Confluent Private Cloud matches Kafka performance with up to 73% fewer brokers. Benchmarks prove massive TCO savings, while Centralized Policy Enforcement streamlines data governance and broker-native multi-tenancy provides the isolation needed to end "noisy neighbor" issues for good.
AI Tools for Builders — Confluent's MCP Server & Agent Skills
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.
Confluent Cloudの新機能：AI-Readyストリーミングに向けたデータとパイプライン、運用管理へのアクセス
2026年第2四半期のConfluent Cloud新機能により、AI-Readyなデータストリーミングがさらに利用しやすくなります。今回のアップデートでは、Flink用dbtアダプターによるSQLベースのワークフロー、マネージドMCPサーバーやAgent Skillsによる開発者向けツールの強化、そしてStreaming AgentsやReal-Time Context Engineを通じた本番環境向けAIソリューションなどが提供されます。
Confluent Intelligenceの新機能：Real-Time Context Engineのアップグレードや新しいモデルのサポート、ML関数など
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。
InfiniteWatch + Confluent: Turning Customer Interaction Data into Real-Time Intelligence
InfiniteWatch is building an AI-native customer interaction intelligence platform that unifies these streams into a continuous, real-time understanding of customer behavior and operational state. At its core is Confluent.
Designing Sovereignty in Real-Time Data Streaming
Confluent's architectural approach to digital sovereignty for real-time streaming, showcasing our deployment spectrum, zero-access guarantees, and open-source foundation
More Signal, Less Guesswork: New Kafka Observability Updates in Confluent Cloud
Confluent Cloud rolled out new observability updates that give operators direct visibility into streaming workload performance. New Metrics API signals expose client throttling by principal, consumer group rebalance duration, connection attempt spikes, and compacted partition counts.
Feed Your Data Lake With Real-Time, Analytics-Ready Tables for 30-50% Lower Cost Using Tableflow
Confluent Tableflow simplifies the process of feeding data lakes and lakehouses by turning Kafka topics directly into analytics-ready Iceberg or Delta Lake tables, eliminating complex traditional ETL stacks leading to 30%–50% lower total ingestion costs.
The Last (and Longest) Mile of Apache Kafka® Migrations: Client Migrations With KCP and Confluent Cloud Gateway
This blog post introduces KCP integration with Gateway, which automates Kafka client cutover by routing traffic through an auth-translating proxy and orchestrating group-based, offset-safe migrations to Confluent Cloud with just a few CLI commands.
Confluent Platform 8.2 のご紹介：Queues for Apache Kafka®、Flink SQL、その他のテクノロジーが強化および拡張
Confluent Platform 8.2 をリリース！Apache Kafka 4.2 を基盤とし、ネイティブなタスクキュー・ワークロードを実現するQueues for Apache Kafka (GA)や、ストリーム処理を簡素化するFlink SQL (GA)を提供。さらに、Confluent Private Cloud Gateway 1.2 により、クライアントのシームレスな切り替えが可能になり、クラスタ移行の管理がこれまで以上に容易になりました。