Nouveau dans Confluent Cloud : rendre les données et les pipelines accessibles pour un streaming prêt pour l’IA | En savoir plus
Confluent Blog
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
How to Scale and Secure Kafka Connect in Production Environments
Learn best practices for running Kafka Connect in production—covering scaling, security, error handling, and monitoring to build resilient data integration pipelines.
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.
How to Build Real-Time Alerts to Stay Ahead of Critical Events
Learn how to design real-time alerts with Apache Kafka® using alerting patterns, anomaly detection, and automated workflows for resilient responses to critical events.
Data Streaming: The Key to Tackling Data Challenges for AI Success
Explore common data management challenges and how data streaming helps overcome them—powering enterprise AI with real-time insights.
Powering Event-Driven, Multi-Agent AI: Confluent Named MongoDB Global Tech Partner of the Year
Confluent is honored to be named MongoDB’s 2025 Global Tech Partner of the Year. Together, we’re helping enterprises build intelligent, event-driven AI systems with real-time data streaming, vector search, and multi-agent orchestration.
Strengthen Security With TLS 1.3 for Confluent Cloud Clusters
Confluent Cloud is introducing TLS 1.3 for stronger security. It’s available now as an opt-in feature for Dedicated clusters. On April 30, 2026, TLS 1.3 will be enabled by default for all remaining cluster types. Confluent will continue to support TLS 1.2.
How to Build Real-Time Apache Kafka® Dashboards That Drive Action
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.
Why More Teams Are Starting With Confluent Cloud on AWS Marketplace
Build real-time apps in minutes. Confluent Cloud on AWS Marketplace offers fully managed Kafka with Flink, Iceberg, 120+ connectors, and enterprise-grade governance—so your team spends less time on ops and more on innovation.
Introducing Apache Kafka® 4.1.0: What’s New and How to Upgrade
Announcing the release of Apache Kafka 4.1
Cut the Costs of Hosted Apache Kafka® With Confluent Cloud’s Price Guarantee
This blog post outlines the top four challenges of using hyperscaler-hosted Kafka, focusing on high costs, manual maintenance, reliability gaps, and vendor lock-in. It then explains how Confluent Cloud is architected to solve each of these specific problems for customers.
Confluent Champion: How Vineet Pursues Engineering Excellence in an Innovation Culture
Learn about Vineet’s experience and growth at Confluent and how his team and environment have set him up for success.