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Confluent Blog
KCP: How to Migrate to Confluent Cloud in Days, Not Weeks
Learn how to migrate to Confluent Cloud in hours using Confluent’s open source Kafka Copy Paste tool. Get an in-depth introduction to the KCP tool and a walk-through of the four steps of migrating from MSK to Confluent Cloud using the tool.
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 and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot
Explore new AI features and AI tools: support for IBM Granite Time Series models and TimesFM models (EA), enhanced Real-Time Context Engine experience, new Agent Skills, Confluent Copilot
Putting Apache Kafka to REST: Confluent REST Proxy 6.0
Confluent Platform 6.0 was released last year bringing with it many exciting new features to Confluent REST Proxy. Before we dive into what was added, let’s first revisit what REST […]
Implementing mTLS and Securing Apache Kafka at Zendesk
At Zendesk, Apache Kafka® is one of our foundational services for distributing events among different internal systems. We have pods, which can be thought of as isolated cloud environments where […]
Intro to Apache Kafka: How Kafka Works
We recently published tutorial videos and a series of tweets on the Apache Kafka® platform as we see it. After you hear that there’s a thing called Kafka but before […]
What’s New in Apache Kafka 2.7.0
I’m proud to announce the release of Apache Kafka 2.7.0 on behalf of the Apache Kafka® community. The 2.7.0 release contains many new features and improvements. This blog post highlights […]
Spring Your Microservices into Production with Kubernetes and GitOps
Microservice architectures continue to grow within engineering organizations as teams strive to increase development velocity. Microservices promote the idea of modularity as a first-class citizen in a distributed architecture, enabling […]
Announcing ksqlDB 0.14.0
We’re pleased to announce ksqlDB 0.14, one of our most significant releases of the year. This version includes expanded query support over materialized views, incremental schema alteration, variable substitution, additional […]
Introducing the Confluent Parallel Consumer
Consuming messages in parallel is what Apache Kafka® is all about, so you may well wonder, why would we want anything else? It turns out that, in practice, there are […]
4 Incredible ksqlDB Techniques (#2 Will Make You Cry)
Building event streaming applications has never been simpler with ksqlDB. But what is it? ksqlDB is an event streaming database for building stream processing applications. Unlike Kafka Streams, ksqlDB programs […]
Transactional Machine Learning at Scale with MAADS-VIPER and Apache Kafka
This blog post shows how transactional machine learning (TML) integrates data streams with automated machine learning (AutoML), using Apache Kafka® as the data backbone, to create a frictionless machine learning […]
Apache Kafka Lag Monitoring at AppsFlyer
This article covers one crucial piece of every distributed system: visibility. At AppsFlyer, we call ourselves metrics obsessed and truly believe that you cannot know what you cannot see. We […]
Getting Started with Scala and Apache Kafka
If you’re getting started with Apache Kafka® and event streaming applications, you’ll be pleased to see the variety of languages available to start interacting with the event streaming platform. It […]
Getting Started with Spring Cloud Data Flow and Confluent Cloud
Data is the currency of competitive advantage in today’s digital age. All organizations struggle with their data due to the sheer variety of data types and ways that it can […]
Ensure Data Quality and Data Evolvability with a Secured Schema Registry
Organizations define standards and policies around the usage of data to ensure the following: Data quality: Data streams follow the defined data standards as represented in schemas Data evolvability: Schemas […]
Project Metamorphosis Month 8: Complete Apache Kafka in Confluent Cloud
This is the eighth and final month of Project Metamorphosis: an initiative that brings the best characteristics of modern cloud-native data systems to the Apache Kafka® ecosystem, served from Confluent […]