CloudEvents

Create your first serverless function with Red Hat OpenShift Serverless Functions

Create your first serverless function with Red Hat OpenShift Serverless Functions

Serverless is a powerful and popular paradigm where you don’t have to worry about managing and maintaining your application infrastructure. In the serverless context, a function is a single-purpose piece of code created by the developer but run and monitored by the managed infrastructure. A serverless function’s value is its simplicity and swiftness, which can entice even those who don’t consider themselves developers.

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Orchestrate event-driven, distributed services with Serverless Workflow and Kubernetes

Orchestrate event-driven, distributed services with Serverless Workflow and Kubernetes

Serverless workflows have gained renewed interest and usefulness with the rise of serverless architectures. Once seen as centralized and monolithic, they now play a key role in cloud-based event and service orchestration. Until recently, there was no vendor-neutral way to describe service orchestration, so developers were dependent on vendors and vendor implementations. We realized that we needed a common, standards-based language for describing serverless workflows.

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Processing CloudEvents with Eclipse Vert.x

Processing CloudEvents with Eclipse Vert.x

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.

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EventFlow: Event-driven microservices on OpenShift (Part 1)

EventFlow: Event-driven microservices on OpenShift (Part 1)

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.

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