New in Confluent Cloud: Making Data & Pipelines Accessible for AI-Ready Streaming | Learn More
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...
Confluent's AI developer tools are now GA: an open-source local MCP server, a managed MCP server, and Agent Skills. Together they give AI coding assistants direct access to your streaming platform — the tools to act on it and the domain knowledge to build correctly.
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.
Confluent's AI developer tools are now GA: an open-source local MCP server, a managed MCP server, and Agent Skills. Together they give AI coding assistants direct access to your streaming platform — the tools to act on it and the domain knowledge to build correctly.
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.
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.
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 to build a real-time compliance and audit logging pipeline using Apache Kafka® or the Confluent data streaming platform with architecture details and best practices including schemas, immutability, retention, and more.
Learn how to automate BI with real-time streaming. Explore event-driven workflows that deliver instant insights and close the gap between data and action.
Discover how banks and payment providers use Apache Kafka® streaming to detect and block fraud in real time. Learn patterns for anomaly detection, risk mitigation, and trusted automation.
Discover why microservices architectures thrive with event-driven design and how streaming powers applications that are agile, resilient, and responsive in real time.
Learn how to validate and monitor data quality in real time with Apache Kafka® and Confluent. Prevent bad data from entering pipelines, improve trust in analytics, and power reliable business decisions.
Learn how to design real-time alerts with Apache Kafka® using alerting patterns, anomaly detection, and automated workflows for resilient responses to critical events.
Learn how to build real-time dashboards with Apache Kafka® that help your organization go beyond simple data visualization and analysis paralysis to instant analysis and action.