Our connected world is full of events that are triggered or received by different software services. One of the big issues is that event publishers tend to describe events differently and in ways that are mostly incompatible with each other.
To address this, the Serverless Working Group from the Cloud Native Computing Foundation (CNCF) recently announced version 0.2 of the CloudEvents specification. The specification aims to describe event data in a common, standardized way. To some degree, a CloudEvent is an abstract envelope with some specified attributes that describe a concrete event and its data.
Working with CloudEvents is simple. This article shows how to use the powerful JVM toolkit provided by Vert.x to either generate or receive and process CloudEvents.
Continue reading “Processing CloudEvents with Eclipse Vert.x”
This post is the first in a series of three related posts that describes a lightweight cloud-native distributed microservices framework we have created called EventFlow. EventFlow can be used to develop streaming applications that can process CloudEvents, which are an effort to standardize upon a data format for exchanging information about events generated by cloud platforms.
The EventFlow platform was created to specifically target the Kubernetes/OpenShift platforms, and it models event-processing applications as a connected flow or stream of components. The development of these components can be facilitated through the use of a simple SDK library, or they can be created as Docker images that can be configured using environment variables to attach to Kafka topics and process event data directly.
Continue reading “EventFlow: Event-driven microservices on OpenShift (Part 1)”