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Confluent Cloud
Aiven, Confluent, Redpanda, StreamNative and Ververica Form Streamhouse Working Group
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
KCP: How to Migrate to Confluent Cloud in Days, Not Weeks
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.
開発者向けAIツール提供開始 — ConfluentのMCPサーバーとAgent Skills
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。
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 Cloud’s Path to Post-Quantum Cryptography
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 Intelligence の新機能：A2A、多変量解析による異常検知、Cosmos DB 向けベクトル検索、Amazon S3 Vectors など
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。
Confluent Cloud の新機能：あらゆるスケールであらゆるワークロードに対応するデータストリーミング
Confluent Cloudの2026年第1四半期リリースでは、Queues for Kafkaによるメッセージキュー機能や、KCPによる移行の簡素化、Confluent IntelligenceによるAI機能の強化に加え、fetch-from-followerやclient quotasなど、スケーラビリティやコスト制御を高める機能が追加されています。
Beyond Zero-Ops: Architectural Precision for MongoDB Atlas Connectors
Master MongoDB Atlas Connectors on Confluent Cloud. Go beyond basic setup with architectural best practices for Source and Sink. Learn to ensure idempotency, handle CDC events, tune performance, and configure precision filtering for resilient, high-velocity data pipelines.
Disaster Recovery in 60 Seconds: A POC for Seamless Client Failover on Confluent Cloud
Kafka client failover is hard. This post proposes a gateway‑orchestrated pattern: use Confluent Cloud Gateway plus Cluster Linking to reroute traffic, reverse replication, and enable one‑click failover/failback with minimal RTO.
Cloud API Keys vs Resource-Specific API Keys in Confluent Cloud
Learn the difference between cloud API keys and resource-specific API keys in Confluent Cloud, plus best practices for service accounts and production security.
Confluent Cloud Is Your Life (K)Raft Away From Hosted Apache Kafka®
ZooKeeper is going away. Learn why hosted Kafka migrations are accelerating—and how Confluent Cloud simplifies your move with KRaft and KCP.
Audit Logs in Confluent Cloud – Digital Dust Collectors or a DevOps Lifeline?
Audit logging in Confluent Cloud can seem boring—until you need precise insights in a crisis. Learn how to easily filter audit logs for your serverless Apache Kafka® environment and improve your data security.
How We’re Making Connect Integration More Flexible, Efficient, and Secure
Discover how Confluent is improving Kafka Connect with better observability, security, migrations, and connector flexibility—making data integration easier to scale.
Real-Time Context Engineのご紹介: AI 向けリアルタイム処理データによって簡素化されるコンテキストエンジニアリング
Real-Time Context EngineでAIのリアルタイムコンテキストを解き放つ。Confluent Cloudで信頼性の高いコンテキストを継続的に評価、処理、提供。
ストリーミングデータをAI対応テーブルへ：Delta LakeおよびDatabricks Unity Catalog対応Tableflowの一般提供を開始
Confluent TableflowとDatabricks Unity Catalogを活用し、リアルタイムのKafka データをガバナンス対応のAI対応Delta Lakeテーブルに変換。パイプラインを簡素化し、ガバナンスを確保し、リアルタイム分析とAIの可能性を解き放ちます。
Tableflow is Production Ready: Delta Lake, Unity Catalog, Azure Early Availability (EA), and More Enterprise-Grade Features
Tableflow on Confluent Cloud now supports Delta Lake, Unity Catalog, and Azure (EA) for secure, governed, real-time analytics from Apache Kafka data - no ETL or custom pipelines required.