Author: Confluent Staff
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。
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®.
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.
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.
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。
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.
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.
How to Build a Custom Kafka Connector – A Comprehensive Guide
Learn how to build a custom Kafka connector, which is an essential skill for anyone working with Apache Kafka® in real-time data streaming environments with a wide variety of data sources and sinks.
Why Managing Your Apache Kafka® Schemas Is Costing You More Than You Think
Manual schema management in Apache Kafka® leads to rising costs, compatibility risks, and engineering overhead. See how Confluent lowers your total cost of ownership for Kafka with Schema Registry and more.
Why Cluster Rebalancing Counts More Than You Think in Your Apache Kafka® Costs
Apache Kafka® cluster rebalancing seems routine, but it drives hidden costs in time, resources, and cloud spend. Learn how Confluent helps reduce your Kafka total cost of ownership.
Apache Kafka® Monitoring Is Costing You More Than You Think
Manual Apache Kafka® monitoring and tool sprawl drive hidden costs in time, complexity, and cloud spend. Learn how Confluent lowers total cost of ownership for Kafka with integrated monitoring.
Cost to Build a Data Streaming Platform: TCO, Risks, and Alternatives
Discover the real cost of building a data streaming platform in-house. Learn what drives expenses, compare to managed solutions, and see how to optimize total cost of ownership for platforms powered by Apache Kafka®.
IBM to Acquire Confluent
We are excited to announce that Confluent has entered into a definitive agreement to be acquired by IBM.
How to Monetize Enterprise Data: The Definitive Guide
Learn how to design and implement a real-time data monetization engine using streaming systems. Get architecture patterns, code examples, tradeoffs, and best practices for billing usage-based data products.