Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition). Argo is a Cloud Native Computing Foundation (CNCF) hosted project. Check out our Java, Golang and Python clients. We host monthly community meetings where we and the community showcase demos and discuss the current and future state of the project.
Apple has decided to refund some Workflow app users after recently acquiring the automation app. The Cupertino giant is sending users who bought the app in the last few weeks notifications about receiving a refund soon. On Monday, MacRumors learned that Tim Cook's company has made Workflow a free-to-download app. Not only that, some key features of the app have also been removed as part of the changes that have taken place since Apple acquired the app and the team behind it. Users of the app who purchased it in the not too distant past received an email from the iTunes Support Team that says, "Since you recently purchased this app, we have issued you a full refund in the amount of $3.23.
Apple has acquired Workflow, a popular productivity app that lets you automate tasks on your iPhone, iPad and Apple Watch. The terms of the acquisition, which was first reported on by TechCrunch, were not made public, but Apple has confirmed the deal. SEE ALSO: This is the real reason Apple's senior leadership lacks diversity On the business end of things, Apple has picked up both the app and the team of young developers behind it. Apple already has a similar app on macOS called Automator, but the acquisition of Workflow might lead to integrated automation of tasks on Apple's mobile devices as well. Workflow lets you simplify tasks like calculating tips or log your weight; you can create your own "workflows" or browse through other users' automated tasks.
Workflows can run on a repeating basis with schedules. This is suitable in cases where a workflow is run against a dynamically expanding input, like an API service or directory of files. The schedule method takes a cron expression, list of static elements (which dynamically expand i.e. Below are a couple example cron expressions. Simple workflow scheduled with Python.
Machine learning (ML) is a subfield of artificial intelligence (AI). The goal of ML is to make computers learn from the data that you give them. Instead of writing code that describes the action the computer should take, your code provides an algorithm that adapts based on examples of intended behavior. The resulting program, consisting of the algorithm and associated learned parameters, is called a trained model. The diagram below gives a high-level overview of the stages in an ML workflow.