Nouveau dans Confluent Cloud : rendre les données et les pipelines accessibles pour un streaming prêt pour l’IA | En savoir plus
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.
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 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
Confluent Cloud’s Q1 2026 launch delivers message queuing capabilities via Queues for Kafka, simplified migration with KCP, new AI capabilities with Confluent Intelligence, and enhanced scalability and cost control features like fetch-from-follower and client quotas.
Master MongoDB Atlas Connectors on Confluent Cloud. Go beyond basic setup with architectural best practices for Source and Sink. Learn to ensure idempotency, handle CDC events, tune performance, and configure precision filtering for resilient, high-velocity data pipelines.
Kafka client failover is hard. This post proposes a gateway‑orchestrated pattern: use Confluent Cloud Gateway plus Cluster Linking to reroute traffic, reverse replication, and enable one‑click failover/failback with minimal RTO.
Learn the difference between cloud API keys and resource-specific API keys in Confluent Cloud, plus best practices for service accounts and production security.
ZooKeeper is going away. Learn why hosted Kafka migrations are accelerating—and how Confluent Cloud simplifies your move with KRaft and KCP.
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.
Discover how Confluent is improving Kafka Connect with better observability, security, migrations, and connector flexibility—making data integration easier to scale.
Unlock real-time context for AI with Confluent’s Real-Time Context Engine. Evaluate, process, and serve trustworthy context continuously in Confluent Cloud.
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.
Tableflow on Confluent Cloud now supports Delta Lake, Unity Catalog, and Azure (EA) for secure, governed, real-time analytics from Apache Kafka data - no ETL or custom pipelines required.
Confluent prioritizes resilience for mission-critical apps, ensuring high availability with 99.99% uptime SLA. We also provide a number of capabilities for monitoring and observability within your own systems.
Use Confluent’s open source Connect migration utility to discover, assess, map, validate, and cut over self-managed Kafka connectors to fully managed in minutes.
Learn how to manage connectors in Confluent Cloud as code using the Confluent Terraform Provider—complete with the role bindings and access controls needed to integrate external systems with Apache Kafka.