Confluent Blog

Morgan Stanley uses Apache Kafka® to publish market data to internal clients and to persist it for replay purposes. We started out using librdkafka’s C++ API, which maintains C++98 compatibility.

Today, every company is a data company. There are many different data pipeline, integration, and ingestion tools in the market, but before you can feed your data analytics needs, data

We are pleased to announce the release of Confluent Platform 6.1. With this release, we are further simplifying management tasks for Apache Kafka® operators and providing even higher availability for

Kafka Connect is part of Apache Kafka®, providing streaming integration of external systems in and out of Kafka. There are a large number of existing connectors, and you can also

This year’s pandemic has forced businesses all around the world to adopt a “remote-first” approach to their operations, with an emphasis on better enabling collaboration, remote work, and productivity. This

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

This blog post presents the use cases and architectures of REST APIs and Confluent REST Proxy, and explores a new management API and improved integrations into Confluent Server and Confluent

Asynchronous boundaries. Frameworks. Configuring frameworks. Apache Kafka®. All of these share one thing in common: complexity in testing. Now imagine them combined—it gets much harder. This is the final blog

It’s 3:00 am and PagerDuty keeps firing you alerts about your application being down. You need to figure out what the issue is, if it’s impacting users, and resolve it

Many organisations rely on commercial or open source monitoring tools to measure the performance and stability of business-critical applications. AppDynamics, Datadog, and Prometheus are widely used commercial and open source