Technology

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.

Unlock real-time context for AI with Confluent’s Real-Time Context Engine. Evaluate, process, and serve trustworthy context continuously in Confluent Cloud.

Explore new Streaming Agents features — Agent Definition, Observability & Debugging, and access to Real-Time Context Engine — to build intelligent, context-aware AI on Confluent.

Transform real-time Kafka data into governed, AI-ready Delta Lake tables with Confluent Tableflow and Databricks Unity Catalog. Simplify pipelines, ensure governance, and unlock real-time analytics and AI.

Explore updates from Confluent Cloud’s Q4 2025 release, including new capabilities and availability for Streaming Agents, new Real-Time Context Engine, and more.