Why Schema Registry Is a Game-Changer
Jeffrey Johnathan Jennings of signalRoom shares how Schema Registry and custom Apache Kafka libraries cut the complexity for teams and make building microservices a breeze.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
How the Singapore Government is Building Agility to Enhance Citizen Services with IMDA's Tech Acceleration Lab and the Government Commercial Cloud+
Supply chain disruption. Pandemics and medical crises. Climate change. Events that were once “black swans” are now near-everyday occurrences for citizens worldwide—and governments are facing growing pressure to provide effective public services in response. In the past, the ability to access, process, and apply data to make informed decisions about complex issues was crucial to creating effective public services.
Optimizing Serverless Stream Processing with Confluent Freight Clusters and AWS Lambda
Confluent has been instrumental in enabling customers from various industries to develop real-time stream processing solutions using Apache Kafka. While many of these use cases demand low-latency and real-time processing, stream processing is also increasingly being utilized for ingesting logging and telemetry data. This type of data typically features a high ingest rate, but allows for a higher tolerance for end-to-end processing time.
Powering AI Agents with Real-Time Data Using Anthropic's MCP and Confluent
Model Context Protocol (MCP), introduced by Anthropic, is a new standard that simplifies artificial intelligence (AI) integrations by providing a secure, consistent way to connect AI agents with external tools and data sources. When we saw MCP’s potential, we immediately started exploring how we could bring real-time data streaming into the mix. With our long history of supporting open source and open standards, building an MCP server was a natural fit.
Start Small, Stay Agile: Building a Data-Driven Culture
To build a truly data-driven culture, Chris Kapp of Henry Schein One explains that starting small, remaining agile, and reducing biases are essential for success.
New Confluent Cloud for Apache Flink® capabilities simplify real-time AI development
Flink Native Inference seamlessly runs AI models directly in Confluent Cloud for streamlined development.
Confluent announces the General Availability of Tableflow
Tableflow brings real-time business context to analytical systems to make AI and next-generation applications enterprise-ready.
New with Confluent Platform 7.9: Oracle XStream CDC Connector, Client-Side Field Level Encryption (EA), Confluent for VS Code, and More
At Confluent, we’re committed to building the world's leading data streaming platform, which gives you the ability to stream, connect, process, and govern all of your data, and make it available wherever it’s needed—however it’s needed—in real time. Today, we're excited to announce the release of Confluent Platform 7.9! This release builds upon Apache Kafka 3.9, reinforcing our core capabilities as a data streaming platform.
New in Confluent Cloud: Tableflow, Freight Clusters, Apache Flink AI Enhancements, and More
Our Q1 Confluent Cloud launch comes to you from Current Bengaluru, where data streaming industry experts have gathered to showcase how real-time streaming with Apache Kafka, Apache Flink, and Apache Iceberg is enabling generative artificial intelligence (AI) use cases and helping their organizations take innovation to the next level.
The Confluent Q1 '25 Launch
The Confluent Q1 ’25 Launch includes Freight clusters and Tableflow, the features needed to make streaming data cheaper and feeding your data lake easier. We’re also introducing AI tools for Apache Flink, VS Code Extension, a new premium Oracle CDC Connector, and more! Our quarterly launches provide a single resource to learn about the accelerating number of new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.