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Apache Kafka
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.
Introducing Confluent Developer
Today, I am pleased to announce the launch of Confluent Developer, the one and only portal for everything you need to get started with Apache Kafka®, Confluent Platform, and Confluent […]
99th Percentile Latency at Scale with Apache Kafka
Fraud detection, payment systems, and stock trading platforms are only a few of many Apache Kafka® use cases that require both fast and predictable delivery of data. For example, detecting […]
Apache Kafka Producer Improvements with the Sticky Partitioner
The amount of time it takes for a message to move through a system plays a big role in the performance of distributed systems like Apache Kafka®. In Kafka, the […]
What’s New in Apache Kafka 2.4
On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 2.4.0. This release includes a number of key new features and improvements […]
Integrating Apache Kafka With Python Asyncio Web Applications
Modern Python has very good support for cooperative multitasking. Coroutines were first added to the language in version 2.5 with PEP 342 and their use is becoming mainstream following the […]
How to Use Single Message Transforms in Kafka Connect
Kafka Connect is the part of Apache Kafka® that provides reliable, scalable, distributed streaming integration between Apache Kafka and other systems. Kafka Connect has connectors for many, many systems, and […]
Machine Learning and Real-Time Analytics in Apache Kafka Applications
The relationship between Apache Kafka® and machine learning (ML) is an interesting one that I’ve written about quite a bit in How to Build and Deploy Scalable Machine Learning in […]
Getting Started with Rust and Apache Kafka
I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark, which you are welcome to read about in my previous […]
4 Steps to Creating Apache Kafka Connectors with the Kafka Connect API
If you’ve worked with the Apache Kafka® and Confluent ecosystem before, chances are you’ve used a Kafka Connect connector to stream data into Kafka or stream data out of it. […]
🚂 On Track with Apache Kafka – Building a Streaming ETL Solution with Rail Data
Trains are an excellent source of streaming data—their movements around the network are an unbounded series of events. Using this data, Apache Kafka® and Confluent Platform can provide the foundations […]
Internet of Things (IoT) and Event Streaming at Scale with Apache Kafka and MQTT
The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the […]
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 […]
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 […]
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 […]