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. This post…
Read MoreThe BI Lag Problem and How Event-Driven Workflows Solve It
How Does Real-Time Streaming Prevent Fraud in Banking and Payments?
See how banks and payment providers use Apache Kafka® streaming to detect and block fraud in real time. Learn patterns for anomaly detection, risk mitigation,…
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. This post first…
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 in pipelines to improve analytics &…
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. This post…
Solving the Hidden Consistency Crisis in Apache Kafka CDC Pipelines: Why Your Multi-Table Transactions Are Breaking Your Data
Have you ever wondered why your perfectly atomic database transactions become eventually consistent chaos in your streaming pipelines? When your e-commerce system updates product prices…
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. This post first appeared on Read More
Powering Event-Driven, Multi-Agent AI: Confluent Named MongoDB Global Tech Partner of the Year
Discover how Confluent and MongoDB power event-driven, multi-agent AI with real-time data streaming, vector search, and orchestration—helping enterprises build intelligent, scalable AI applications. This post…
3 Essential Exception Handling Techniques for Kafka Streams: KIP-1033 Implementation Guide
Every Kafka Streams engineer has faced the dreaded poison pill scenario—a single malformed record that brings down an entire streaming application in an endless cycle…
Strengthen Security With TLS 1.3 for Confluent Cloud Clusters
Confluent Cloud brings TLS 1.3 to Kafka clusters and streaming infrastructure for stronger encryption while ensuring alignment with compliance requirements. This post first appeared on…
How to Build Real-Time Apache Kafka® Dashboards That Drive Action
Learn to design real-time Apache Kafka® dashboards that drive instant business action, not just data visualization. Explore architecture, data modeling and examples. This post first…
Why More Teams Are Starting With Confluent Cloud on AWS Marketplace
Confluent Cloud on AWS Marketplace delivers managed Kafka with Flink, Iceberg, and 120+ connectors, helping teams build faster without the ops burden. This post first…
Confluent Cloud for Government Achieves FedRAMP 20x Low Authorization
Confluent Cloud for Government is now FedRAMP 20x Low authorized—enabling agencies to securely modernize data streaming with cloud-native Kafka. This post first appeared on Read…
How to Unify Multi-Platform Kafka Operations: A Complete Guide to Hybrid Deployment Success
Five years ago, every enterprise technology leader had the same strategy: migrate everything to the cloud. The plan was simple—treat on-premises infrastructure as a temporary…
Introducing Apache Kafka® 4.1.0: What’s New and How to Upgrade
Apache Kafka 4.1 introduces Queues preview, new Streams Rebalance Protocol, OAuth support, and key client, Streams, and Connect enhancements. This post first appeared on Read…