Author: Confluent Staff

Explore new Confluent Intelligence features: enhanced querying with Real-Time Context Engine, PII detection, sentiment analysis, and support for TimesFM, Anthropic, and Fireworks AI models.

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®.

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.

Learn how real-time decisioning and autonomous data systems enable organizations to act on data instantly using streaming, automation, and AI.

Explore new Confluent Intelligence features: A2A integration, multivariate anomaly detection, vector search for Cosmos DB and S3 Vectors, Private Link, and MCP support.

Learn how to safely break off your first microservice from a monolith using a low-risk, incremental migration approach.

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.

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.

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.

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.

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®.

We are excited to announce that Confluent has entered into a definitive agreement to be acquired by IBM.

Learn why Superwall chose to scale its subscription monetization business model with Warpstream and Clickhouse 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.