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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.
Streaming Data from the Universe with Apache Kafka
You might think that data collection in astronomy consists of a lone astronomer pointing a telescope at a single object in a static sky. While that may be true in […]
How to Connect KSQL to Confluent Cloud Using Kubernetes with Helm
Confluent Cloud, a fully managed event cloud-native streaming service that extends the value of Apache Kafka®, is simple, resilient, secure, and performant, allowing you to focus on what is important—building […]
Spring for Apache Kafka Deep Dive – Part 4: Continuous Delivery of Event Streaming Pipelines
For event streaming application developers, it is important to continuously update the streaming pipeline based on the need for changes in the individual applications in the pipeline. It is also […]
Reliable, Fast Access to On-Chain Data Insights
At TokenAnalyst, we are building the core infrastructure to integrate, clean, and analyze blockchain data. Data on a blockchain is also known as on-chain data. We offer both historical and […]
Spring for Apache Kafka Deep Dive – Part 3: Apache Kafka and Spring Cloud Data Flow
Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring […]
Deploying Kafka Streams and KSQL with Gradle – Part 2: Managing KSQL Implementations
In part 1, we discussed an event streaming architecture that we implemented for a customer using Apache Kafka®, KSQL from Confluent, and Kafka Streams. Now in part 2, we’ll discuss […]
17 Ways to Mess Up Self-Managed Schema Registry
Part 1 of this blog series by Gwen Shapira explained the benefits of schemas, contracts between services, and compatibility checking for schema evolution. In particular, using Confluent Schema Registry makes […]
Scylla and Confluent Integration for IoT Deployments
The internet is not just connecting people around the world. Through the Internet of Things (IoT), it is also connecting humans to the machines all around us and directly connecting […]
Schemas, Contracts, and Compatibility
When you build microservices architectures, one of the concerns you need to address is that of communication between the microservices. At first, you may think to use REST APIs—most programming […]
Deploying Kafka Streams and KSQL with Gradle – Part 1: Overview and Motivation
Red Pill Analytics was recently engaged by a Fortune 500 e-commerce and wholesale company that is transforming the way they manage inventory. Traditionally, this company has used only a few […]
Introducing a Cloud-Native Experience for Apache Kafka in Confluent Cloud
In the last year, we’ve experienced enormous growth on Confluent Cloud, our fully managed Apache Kafka® service. Confluent Cloud now handles several GB/s of traffic—a 200-fold increase in just six […]
Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices
So far in this series, we have recognized that by going back to first principles, we have a new foundation to work with. Event-first thinking enables us to build a […]
Dawn of Kafka DevOps: Managing Multi-Cluster Kafka Connect and KSQL with Confluent Control Center
In anything but the smallest deployment of Apache Kafka®, there are often going to be multiple clusters of Kafka Connect and KSQL. Kafka Connect is used for building event streaming […]
Apache Kafka Data Access Semantics: Consumers and Membership
Every developer who uses Apache Kafka® has used a Kafka consumer at least once. Although it is the simplest way to subscribe to and access events from Kafka, behind the […]