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Technology
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。
How to Implement Your First ML Function in Streaming
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®.
From Dumb Pipes to a Smart Data Plane: Introducing Schema IDs in Apache Kafka® Headers
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.
Sustainable Streaming Architectures: A GreenOps Guide to Efficient, Low-Carbon Data Systems
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.
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...
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...
How to Build Autonomous Data Systems for Real-Time Decisioning
Learn how real-time decisioning and autonomous data systems enable organizations to act on data instantly using streaming, automation, and AI.
What’s New in Confluent Clients for Kafka: Python Async GA, Schema Registry Upgrades
Explore the latest Confluent client updates, featuring Python asyncio general availability, improved support for Schema Registry and more.
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。
How to Break Off Your First Microservice
Learn how to safely break off your first microservice from a monolith using a low-risk, incremental migration approach.
Apache Kafka 4.2.0 Release Announcement
Apache Kafka 4.2.0 is here. Explore production-ready share groups, Kafka Streams rebalance GA, new metrics, security enhancements, and upgrade details.
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.
How to Future-Proof Architectures With Continuous Availability Via Hybrid & Multicloud
Learn how to design future-proof architectures for hybrid and multicloud environments, balancing portability, resilience, and long-term flexibility and using Kafka to implement continuous availability.
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.