Technology

People often imagine that to provide a cloud service for a piece of open source software is a simple matter of packaging up the open source and putting it in […]

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.

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.

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.

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.

Explore the latest Confluent client updates, featuring KIP-848 general availability for improved consumer stability and native Asyncio support for Python. We’ve also added simplified OAuth metadata authentication for cloud security and new observability metrics for Node.js consumers.

Discover how Confluent is improving Kafka Connect with better observability, security, migrations, and connector flexibility—making data integration easier to scale.

This blog introduces the concept of API chaining — a method where data is collected by sequentially calling multiple related APIs. The response from one API is used to construct the request for the next, creating a chain that enables richer, more contextual data collection.

Discover how a data streaming platform helps you unlock the full potential of your AI—and translates it into measurable business value.

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.

Learn how the built-in anomaly detection ML function in Confluent Cloud for Apache Flink® enables event-driven AI agents to detect and act on outlier system events faster.

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。

Streaming Agentsの初めての発表はお客様の根本的な課題の解決につながりました。実はそれは、あらゆる AI の問題はデータの問題であるということです。

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。