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Technology
Aiven, Confluent, Redpanda, StreamNative and Ververica Form Streamhouse Working Group
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
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.
開発者向けAIツール提供開始 — ConfluentのMCPサーバーとAgent Skills
ConfluentのAI開発者向けツールが一般提供（GA）されました。これには、オープンソースのローカルMCP Server、マネージドのMCP Server、およびAgent Skillsが含まれます。これらを組み合わせることで、AIコーディングアシスタントはお客様のストリーミングプラットフォームに直接アクセスできるようになります。つまり、プラットフォーム上で処理を実行するためのツールと、正しく構築するためのドメイン知識が提供されました。
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.
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.
Using Webhooks to Integrate Confluent Cloud and Microsoft Teams
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.
How to Protect PII in Apache Kafka® With Schema Registry and Data Contracts
Protect sensitive data with Data Contracts using Confluent Schema Registry.
リアルタイムエージェントAIを解き放つ：Confluent Cloud Streaming Agentsのご紹介
Build event-driven agents on Apache Flink® with Streaming Agents on Confluent Cloud—fresh context, MCP tool calling, real-time embeddings, and enterprise governance.
Confluent Cloud の新機能: あらゆるワークロードにコスト効率の高いストリーミング
大規模ストリーミングがさらに強力でコスト効率に優れたものになりました。弊社Q3（第3四半期）にリリースされた Confluent Cloud には、少ないリソースでより多くの成果を上げるための革新的な機能が満載されています。セキュリティを維持しながらクラウドネットワークコストを削減、引き上げられた接続制限による容易なスケーリングを実現し、シームレスなツール統合によって本番環境対応のエージェントAIを構築できます。
How Confluent Is Enhancing and Easing Migration to Fully Managed Connectors
Confluent has enhanced its fully managed connectors with new features like exposed connector logs for non-admins, plugin versioning, expanded SMT support, custom topic naming for DLQ and error topics, and specific connector updates. These improvements offer better control, data guarantees, user...
From Oracle to MongoDB: How to Modernize Your Tech Stack for Real-Time AI Decisioning
Turn legacy Oracle data into real-time AI insights using Kafka, Flink, and MongoDB. Learn how to stream, enrich, and personalize faster than batch ever could.