Neu in Confluent Cloud: Daten & Pipelines für KI-fähiges Streaming zugänglich machen | Mehr erfahren
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.
Learn how to handle data transformation, schema evolution, and security in Kafka Connect with best practices for consistency, enrichment, and format conversions.
Learn best practices for validating your Apache Kafka® disaster recovery and high availability strategies, using techniques like chaos testing, monitoring, and documented recovery playbooks.
Learn best practices for running Kafka Connect in production—covering scaling, security, error handling, and monitoring to build resilient data integration pipelines.
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.
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 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.