How to Build High-Performance Kafka Streams Applications That Scale Beyond Partition Limits
Every Kafka Streams engineer eventually hits the same wall: your application is processing one record at a time, one task at a time, and you’ve…
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How NeuBird’s Hawkeye Automates Incident Resolution in Confluent Cloud
Read the blog to learn how the combination of Confluent Cloud and Hawkeye—NeuBird’s AI agent—ensures enhanced observability, automated incident response, and more. This post first…
Building Streaming Data Pipelines, Part 2: Data Processing and Enrichment With SQL
Follow this demo for building streaming ETL pipelines with Confluent Cloud using Flink® SQL to transform data and Tableflow to create Iceberg tables for analysis.…
How Confluent Helps You Deliver New Customer Experiences and Act on Insights Faster
Confluent’s data streaming platform uses real-time data to enable companies to deploy new features faster, cut costs, and create more personalized experiences. This post first…
Why Hosted Apache Kafka® Leaves You Holding the Bag
Tired of hidden challenges of cloud-hosted Apache Kafka®? Confluent Cloud offers a cost-effective, resilient and fully-managed experience–minus the ops burden. This post first appeared on…
Unlocking Real-Time Analytics on AWS With Tableflow, Apache Iceberg™, and the AWS Glue Data Catalog
Learn how Confluent Tableflow integrates with AWS Glue Catalog, feeding the high-quality operational data into Amazon S3 and powering your analytics use cases. This post…
Confluent Deepens India Commitment With Major Expansion on Jio Cloud
Learn about what Confluent Cloud has to offer on India’s Jio Cloud—now with Public and Private Link networking, a second cloud region, and Azure Marketplace…
Unlock the Power of Your Data Warehouse: Introducing the Snowflake Source Connector for Confluent Cloud
Learn how Confluent makes it easy to integrate Snowflake and Apache Kafka®, build reverse ETL pipelines, and extract data value trapped in your cloud data…
Productionise Kafka Streams State Stores: How Unbundled Architecture Transforms Kafka Streams Operations
In the Kafka Streams ecosystem, we’ve all experienced the fundamental paradox that haunts stateful applications: the framework promises elasticity, fault tolerance, and real-time processing capabilities,…
How to auto scale Apache Kafka with Tiered Storage in Production
In the distributed systems world, Apache Kafka has earned its reputation as the gold standard for scalability. Companies routinely run Kafka clusters with tens or…
Event-Driven AI Agents: Why Flink Agents Are the Future of Enterprise AI
Explore how Flink Agents redefine enterprise AI with real-time data, event-driven processing, and scalable autonomy—built for the future of AI workflows. This post first appeared…
From Pawns to Pipelines: Stream Processing Fundamentals Through Chess
Learn Flink and Kafka stream processing by comparing moves, states, and tactics in chess. A unique take on stream-table duality and event-time logic. This post…
Developer Experience in the Age of AI: Developing a Copilot Chat Extension for Data Streaming Engineers
Explore how AI is reshaping developer experience. Learn how Confluent enhances coding with Copilot and VS Code for real-time, safe data streaming workflows. This post…
Confluent and Amazon EventBridge for Broad Event Distribution
Learn how to stream real-time data from Confluent to AWS EventBridge. Set up the connector, explore use cases, and build scalable event-driven apps. This post…
Streamlining Your Workflow – Confluent Cloud Console Feature Roundup
The Confluent Cloud Console allows you to monitor, investigate and act on your Confluent Cloud topics, clusters and consumer groups. Check out the latest updates…