Release 6.8 of the Diffusion Intelligent Event-Data Platform for real-time applications, supports a powerful new feature called the ‘Gateway Framework’. What is the Gateway Framework? For many years Diffusion has been a leading-edge technology product...
Release 6.8 of the Diffusion Intelligent Event-Data Platform for real-time applications includes new additions to the popular data-wrangling feature called ‘topic views’. It is now possible to include conditional processing of JSON topic values, and...
The secret to writing a successful API, is to model what the product does and not how the product works. A successful API needs to be customer-centric, developer-friendly, and maintain the same level of functionality...
Introduction CDC (Change Data Capture) is a process of identifying and tracking data change events in databases. CDC is an efficient mechanism to achieve reliable and scalable data replication across different systems. In the 6.7...
Release 6.7 of Diffusion™ introduces a new and exciting feature called ‘session trees‘. Some History – Routing Topics (You can skip this section if you are not a current user of routing topics). Existing users...
In our tutorial on Using Diffusion with Docker, we saw how to pull a Diffusion image, start the server, and use a Dockerfile to build your own image on top of Diffusion. In this tutorial,...
With the 6.7 release of Diffusion™, all the included data adapters (the Kafka adapter, the JMS adapter, and the new CDC adapter) can be monitored and controlled from the Diffusion Management Console of the connected...
Diffusion™ 6.3 introduced topic views, a mechanism to produce virtual topics (known as reference topics) that take their values from other topics in the topic tree. In 6.4, we added topic view expansion, enabling a...
MQTT is a publish-subscribe messaging protocol commonly used to connect Internet of Things (IoT) applications. With the release of Diffusion 6.6, Diffusion supports clients connecting with MQTT 5.0. See the 6.6 manual for full details....
Fine-grained fan-out and replication of Kafka event firehose between clusters/sites. Introduction to Diffusion Real-Time Event Stream through a simple application using Diffusion Cloud and Apache Kafka. This simple project illustrates real-time replication and fan-out of...
