Nouveau dans Confluent Cloud : rendre les données et les pipelines accessibles pour un streaming prêt pour l’IA | En savoir plus
Use Cases
KCP: How to Migrate to Confluent Cloud in Days, Not Weeks
Learn how to migrate to Confluent Cloud in hours using Confluent’s open source Kafka Copy Paste tool. Get an in-depth introduction to the KCP tool and a walk-through of the four steps of migrating from MSK to Confluent Cloud using the tool.
AI Tools for Builders — Confluent's MCP Server & Agent Skills
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.
New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot
Explore new AI features and AI tools: support for IBM Granite Time Series models and TimesFM models (EA), enhanced Real-Time Context Engine experience, new Agent Skills, Confluent Copilot
AI Tools for Builders — Confluent's MCP Server & Agent Skills
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.
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.
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 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.
How to Build Real-Time Compliance & Audit Logging With Apache Kafka®
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.
The BI Lag Problem and How Event-Driven Workflows Solve It
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.
How Does Real-Time Streaming Prevent Fraud in Banking and Payments?
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.
Do Microservices Need Event-Driven Architectures?
Discover why microservices architectures thrive with event-driven design and how streaming powers applications that are agile, resilient, and responsive in real time.
Making Data Quality Scalable With Real-Time Streaming Architectures
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.