In this article, I will introduce how and why our team here at foodora/foodpanda is exposing an API that makes machine learning predictions using R, AWS Lambda and Amazon API Gateway. I will guide you through all the required steps while using the prediction of the food preparation time of our restaurants.

At Lieferheld and Pizza.de, most of our server-side platform code was written in Python 2.7 until last year. I want to share some of our experience migrating elements of this codebase to Python 3 and, in particular, taking advantage of the asyncio module and native coroutines available in Python 3.5.

Having used NewRelic for more than 5 years, at Delivery Hero we only just recently started taking advantage of a few pretty awesome, but so far unknown/ignored features. Let me quickly go through them:

Hello, I am in-charge as a Scrum Master at RGP Korea. This year we launched Squad at out Tech division, and we are attempting a new change in the way that we work at our organization. Through this article, I would like to look back at our Tech organization’s growth over the past three years.

RGP Korea operates both Yogiyo (YGY) and Baedaltong (BDT) service. Among these two services, I am in-charge of YGY’s service and recently I’ve been using Java and Kotlin. I applied about 14% of Kotlin on YGY app, and I would like to explain about why it was introduced and how I resolved learning curve issues.