Confluent Blog

Building cross-platform solutions enables organizations to leverage technology driven by real-time data and enabled with both highly available services and low-latency databases hosted on Microsoft Azure. Azure Cosmos DB is

In order for a technology like Confluent Cloud to make it easy to set data in motion, many different software systems are required to interact with each other using API

At Funding Circle, we rely heavily on Kafka as the main piece of infrastructure to enable our event-driven-based microservices architecture. There are numerous organizational benefits of microservices, however a key

Apache Kafka ships with Kafka Streams, a powerful yet lightweight client library for Java and Scala to implement highly scalable and elastic applications and microservices that process and analyze data

Real-time analytics has become the need of the hour for modern internet companies. The ability to derive internal insights around business metrics, user growth and adoption as well as security

Most companies who have adopted event streaming are running multiple Apache Kafka® environments. For example, they may use different Kafka clusters for testing vs. production or for different use cases.

As you may have heard, we are hosting not one, not two, but three Kafka Summits in 2021. No matter where you are in the world, there’s a Summit event

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

Kerberos authentication is widely used in today’s client/server applications; however getting started with Kerberos may be a daunting task if you don’t have prior experience. Information on setting up Kerberos

This blog post walks through an end-to-end demo that uses the Confluent Operator to deploy Confluent Platform to Kubernetes. We will deploy a connector that watches for commits to a