New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
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.
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.
Explore common data management challenges and how data streaming helps overcome them—powering enterprise AI with real-time insights.
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.
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.
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.
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.
Announcing the release of Apache Kafka 4.1
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.
Learn about Vineet’s experience and growth at Confluent and how his team and environment have set him up for success.
Learn how to use webhooks to integrate your Microsoft Teams tenant with Confluent Cloud and receive service event notifications directly in your inbox or team channels.
Protect sensitive data with Data Contracts using Confluent Schema Registry.
Build event-driven agents on Apache Flink® with Streaming Agents on Confluent Cloud—fresh context, MCP tool calling, real-time embeddings, and enterprise governance.