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Technology
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.
Reduce Your Data Infrastructure TCO with Confluent’s New Splunk S2S Source Premium Connector
Data is at the center of our world today, especially with the ever-increasing amount of machine-generated log data collected from applications, devices, and sensors from almost every modern technology. The […]
Speed, Scale, Storage: Our Journey from Apache Kafka to Performance in Confluent Cloud
At Confluent, we focus on the holy trinity of performance, price, and availability, with the goal of delivering a similar performance envelope for all workloads across all supported cloud providers. […]
Making Apache Kafka Serverless: Lessons From Confluent Cloud
Serverless offerings in the cloud are a favorite among software engineers—a prime example are object stores such as AWS S3. For the system designer, however, it is an engineering challenge […]
Design Considerations for Cloud-Native Data Systems
Twenty years ago, the data warehouses of choice were Oracle and Teradata. Since then, growth and innovation has shifted to the cloud, and a new generation of data systems have […]
Announcing ksqlDB 0.19.0
We’re pleased to announce ksqlDB 0.19.0! This release includes a new NULLIF function and a major upgrade to ksqlDB’s data modeling capabilities—foreign-key joins. We’re excited to share this highly requested […]
Tyrannical Data and Its Antidotes in the Microservices World
Data is the lifeblood of so much of what we build as software professionals, so it’s unsurprising that operations involving its transfer occupy the vast majority of developer time across […]
Create a Data Analysis Pipeline with Apache Kafka and RStudio
In Data Science projects, we distinguish between descriptive analytics and statistical models running in production. Overall, these can be seen as one process. You start with analyzing historical data to […]
Crossing the Streams: The New Streaming Foreign-Key Join Feature in Kafka Streams
Companies adopt streaming data and Apache Kafka® because it provides them with real-time information about their business and customers. In practice, the challenge is that this information is spread across […]
Online, Managed Schema Evolution with ksqlDB Migrations
Making changes to a database schema is a natural part of software development. Often, it’s important to carefully manage the timing of changes and keep track of them over time. […]
Saxo Bank’s Best Practices for a Distributed Domain-Driven Architecture Founded on the Data Mesh
Al data til folket (all data to the people) is a compelling proposition in an enterprise context. Yet the ability to quickly address integration challenges and deliver data to those […]
Building Real-Time Event Streams in the Cloud, On Premises, or Both with Confluent
To the developer or architect seeking to provide their business with as much value as possible, what is the best way to start working with data in motion? Choosing Apache […]
Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka
Stream processing has become an important part of the big data landscape, a new programming paradigm bringing asynchronous, long-lived computations to unbounded data in motion. But many people still think […]
How to Better Manage Apache Kafka by Removing Residue Data with Control Center Cleanup Script
This blog post is the fourth in a four-part series that discusses a few new Confluent Control Center features that are introduced with Confluent Platform 6.2.0. It focuses on removing […]
How to Better Manage Apache Kafka with Improved Topic Inspection via Last-Produced Timestamp
This blog post is the third in a four-part series that discusses a few new Confluent Control Center features that are introduced with Confluent Platform 6.2.0. It focuses on inspecting […]