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Confluent Blog
Queues for Apache Kafka® Is Here: Your Guide to Getting Started in Confluent
Confluent announces the General Availability of Queues for Kafka on Confluent Cloud and Confluent Platform with Apache Kafka 4.2. This production-ready feature brings native queue semantics to Kafka through KIP-932, enabling organizations to consolidate streaming and queuing infrastructure while...
AI Tools for Builders — Confluent's MCP Server & Agent Skills
Confluent's AI developer tools are now GA: an open-source local MCP server, a managed MCP server, and Agent Skills. Together they give AI coding assistants direct access to your streaming platform — the tools to act on it and the domain knowledge to build correctly.
New in Confluent Intelligence: Real-Time Context Engine Upgrade, New Model Support, ML Functions, and More
Explore new Confluent Intelligence features: enhanced querying with Real-Time Context Engine, PII detection, sentiment analysis, and support for TimesFM, Anthropic, and Fireworks AI models.
Building a Real-Time, Event-Driven Stock Platform at Euronext
As the head of global customer marketing at Confluent, I tell people I have the best job. As we provide a complete event streaming platform that is radically changing how […]
How to Run Apache Kafka with Spring Boot on Pivotal Application Service (PAS)
This tutorial describes how to set up a sample Spring Boot application in Pivotal Application Service (PAS), which consumes and produces events to an Apache Kafka® cluster running in Pivotal […]
How to Deploy Confluent Platform on Pivotal Container Service (PKS) with Confluent Operator
This tutorial describes how to set up an Apache Kafka® cluster on Enterprise Pivotal Container Service (Enterprise PKS) using Confluent Operator, which allows you to deploy and run Confluent Platform […]
Why Scrapinghub’s AutoExtract Chose Confluent Cloud for Their Apache Kafka Needs
We recently launched a new artificial intelligence (AI) data extraction API called Scrapinghub AutoExtract, which turns article and product pages into structured data. At Scrapinghub, we specialize in web data […]
Kafka Summit San Francisco 2019: Day 2 Recap
If you looked at the Kafka Summits I’ve been a part of as a sequence of immutable events (and they are, unless you know something about time I don’t), it […]
Kafka Summit San Francisco 2019: Day 1 Recap
Day 1 of the event, summarized for your convenience. They say you never forget your first Kafka Summit. Mine was in New York City in 2017, and it had, what, […]
Free Apache Kafka as a Service with Confluent Cloud
Go from zero to production on Apache Kafka® without talking to sales reps or building infrastructure Apache Kafka is the standard for event-driven applications. But it’s not without its challenges, […]
Schema Validation with Confluent Platform 5.4
Robust data governance support through Schema Validation on write is now supported in Confluent Platform 5.4. Schema Validation enables the broker to verify that data produced to an Apache Kafka® […]
Real-Time Analytics and Monitoring Dashboards with Apache Kafka and Rockset
In the early days, many companies simply used Apache Kafka® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. The significant difference […]
Every Company is Becoming a Software Company
In 2011, Marc Andressen wrote an article called Why Software is Eating the World. The central idea is that any process that can be moved into software, will be. This […]
Incremental Cooperative Rebalancing in Apache Kafka: Why Stop the World When You Can Change It?
There is a coming and a going / A parting and often no—meeting again. —Franz Kafka, 1897 Load balancing and scheduling are at the heart of every distributed system, and […]
How to Make the Most of Kafka Summit San Francisco 2019
Kafka Summit San Francisco is just one week away. Conferences can be busy affairs, so here are some tips on getting the most out of your time there. Plan Go […]
The Rise of Managed Services for Apache Kafka
As a distributed system for collecting, storing, and processing data at scale, Apache Kafka® comes with its own deployment complexities. Luckily for on-premises scenarios, a myriad of deployment options are […]
Reflections on Event Streaming as Confluent Turns Five – Part 2
When people ask me the very top-level question “why do people use Kafka,” I usually lead with the story in my last post, where I talked about how Apache Kafka® […]