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Confluent Blog
Introducing Confluent Private Cloud: Cloud-Level Agility for Your Private Infrastructure
Confluent Private Cloud (CPC) is a new software package that extends Confluent’s cloud-native innovations to your private infrastructure. CPC offers an enhanced broker with up to 10x higher throughput and a new Gateway that provides network isolation and central policy enforcement without client...
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...
New in Confluent Intelligence: A2A, Multivariate Anomaly Detection, Vector Search for Cosmos DB, Amazon S3 Vectors, and More
Explore new Confluent Intelligence features: A2A integration, multivariate anomaly detection, vector search for Cosmos DB and S3 Vectors, Private Link, and MCP support.
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 […]
Kafka Summit London 2019 Session Videos
Let us cut to the chase: Kafka Summit London session videos are available! If you were there, you know what a great time it was, and you know that you […]
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 […]
Announcing the Confluent Community Catalyst Program
A technology community is made up of people. Without people writing code, writing tutorials, welcoming newcomers, giving presentations, and answering questions, what we have is not a community, but just […]
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 […]
Dawn of Kafka DevOps: Managing Kafka Clusters at Scale with Confluent Control Center
When managing Apache Kafka® clusters at scale, tasks that are simple on small clusters turn into significant burdens. To be fair, a lot of things turn into significant burdens at […]
The PipelineDB Team Joins Confluent
Some years ago, when I was at LinkedIn, I didn’t really know what Apache Kafka® would become but had an inkling that the next generation of applications would not be […]
Optimizing Kafka Streams Applications
With the release of Apache Kafka® 2.1.0, Kafka Streams introduced the processor topology optimization framework at the Kafka Streams DSL layer. This framework opens the door for various optimization techniques […]