Don’t miss out on Current in New Orleans, October 29-30th — save 30% with code PRM-WEB | Register today
Confluent Blog
Data Products, Data Contracts, and Change Data Capture
Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Unlock Cost Savings with Freight Clusters–Now in General Availability
Confluent Cloud Freight clusters are now Generally Available on AWS. In this blog, learn how Freight clusters can save you up to 90% at GBps+ scale.
Unleash Real-Time Agentic AI: Introducing Streaming Agents on Confluent Cloud
Build event-driven agents on Apache Flink® with Streaming Agents on Confluent Cloud—fresh context, MCP tool calling, real-time embeddings, and enterprise governance.
No More Swamps: Building a Better-Governed Data Lake Architecture
Powering analytics and AI requires reliable, consistent, and easily discoverable data to reach the data lake. To enforce these needs, strong and holistic governance is an important of building better platforms for getting from raw data to valuable insights and actions.
Expanding the AI Data Landscape: Confluent’s Q3 Integrations Summary
See how Confluent and its partner ecosystem are making it easier to use real-time data streaming as the fuel for your agentic AI and advanced analytics applications.
Scaling Kafka Streams Applications: Strategies for High-Volume Traffic
Learn how to scale Kafka Streams applications to handle massive throughput with partitioning, scaling strategies, tuning, and monitoring.
Cross-Data-Center Apache Kafka® Replication: Decision Framework & Readiness Playbook
Learn how to choose the right Apache Kafka® multi-cluster replication pattern and run an audit-ready disaster recovery and high availability program with lag SLOs, drills, and drift control.
How to Transform Data and Manage Schemas in Kafka Connect Pipelines
Learn how to handle data transformation, schema evolution, and security in Kafka Connect with best practices for consistency, enrichment, and format conversions.
Beyond Data: How a Sales Director Drives Real Impact for Customers
Confluent Champion blog post featuring Aamir Thoker
Best Practices for Validating Apache Kafka® Disaster Recovery and High Availability
Learn best practices for validating your Apache Kafka® disaster recovery and high availability strategies, using techniques like chaos testing, monitoring, and documented recovery playbooks.
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.