The developer experience gap in Kafka data replication
From weeks-long projects to self-service data distribution.
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Modern Software Development For Today's Systems & Applications
Demo: Build An AI Meeting Coach With Flink SQL, OpenAI, & Confluent
Learn how to build a real-time meeting coach system that uses Confluent's data streaming platform, Apache Flink SQL, and Azure OpenAI to provide sales teams with timely, contextual advice. In this demo, Brenner Heintz, Staff Technical Marketing Manager at Confluent, demonstrates the system's architecture, key components, and how it leverages company knowledge documents to enhance sales conversations.
Enterprise Kafka replication: Tooling you can trust | lenses.io
Enterprise Kafka demands are exploding - DR, migrations, data sharing at scale. Traditional replication tools fall short. See how Lenses transforms Kafka replication with flexibility and power that enterprises truly need.
Why Kafka disaster recovery could save your business | Lenses.io
Even resilient Kafka clusters can fail when entire regions go down. Here's why Kafka-to-Kafka replication is essential for disaster recovery and how to keep your data continuously synced across locations.
Safe Kafka testing: Production to staging done right | Lenses.io
Why mirror production Kafka data to staging environments? Test safely without risking production. Learn about data subsetting, sensitive data masking, and the emerging pattern that's revolutionizing Kafka testing workflows.
Migrate Kafka without stopping your business | Lenses.io
Moving Kafka between cloud providers or from on-prem to cloud? Learn why continuous replication beats the "stop everything and migrate" approach. Keep your business running while seamlessly transitioning your Kafka infrastructure.
How to migrate AWS MSK to Express Brokers with Lenses K2K Replicator
AWS MSK has become popular because it deploys Kafka easily and bills alongside other AWS services. Over the past few years, AWS announced Express Brokers, a new cluster type that offers unlimited storage and separates brokers from storage resources. This simplifies scaling and reduces the time needed to rebalance topics when adding or removing brokers.
Confluent unlocks scalable real-time agentic AI with Streaming Agents
Enterprises can quickly move from prototype to production-ready AI agents with Streaming Agents.
How to Protect PII in Apache Kafka With Schema Registry and Data Contracts
A data contract is a formal agreement between an upstream component and a downstream component on the structure and semantics of data that’s in motion. In a previous post, I showed how Confluent Schema Registry supports data contracts. By combining data contracts and encryption on streaming workloads, you can shift left the responsibility of data consistency, quality, and security to the producer, allowing the consumer to depend on a trustworthy stream of data.
Demo: Streaming Agents automate competitive pricing in real time
Streaming Agents enable you to build, deploy, and orchestrate event-driven agents natively on Apache Flink and Apache Kafka. By unifying stream processing and agentic AI workflows, they leverage fresh context to continuously monitor and act on what’s happening in the business. In this demo, Brenner Heintz, Staff Technical Marketing Manager at Confluent, shows how to build agents that automate real-time competitive price matching on sales orders.