At DeliveryHero, we build for scale. With an objective of 10M orders a day, in more than 30 countries worldwide, being able to scale our operations, in a sustainable and cost-effective way, is the primary driver of our engineering practices. DevOps is one of the methods and behaviors which allow us to achieve scalability.
This is the first instalment of a series of blog post looking in detail at the relationship between data, AI and DevOps.
On Thursday, March 7th we marked the end of the second annual Delivery Hero hackathon: DeliveryHack 2019. With nearly 90 participants divided into over 20 teams, it was our largest internal hackathon to date. To get a better impression of DeliveryHack, have a look at our video.
Delivery Hero’s DevOps team was very excited to attend this year’s AWS Summit in Berlin. It was a great opportunity to network with fellow DevOps engineers, potential service partners, and the greater AWS community.
My name is Gabriel Ferreira and I’m working as Senior Principal Systems Engineer at Delivery Hero, leading the Global Logistics Infrastructure Team. In the midst of a cost-cutting project, we asked ourselves: why not run our kubernetes nodes over AWS Spot Instances? Since spots instances are 70% cheaper than on-demand, it would definitely save us some money.
We’ve all been there, you find an interesting new position and submit your application. A few days later you have your first phone call with a recruiter who is asking you lots of questions about you and your experience.
In this article, the spotlight is on our Tech and Product Recruiters as we interview them. Get to know who you’ll be talking to if you apply to any tech or product positions at Delivery Hero!
Connecting microservices allows companies to be scalable and bring about the flexibility that partners want. We maintain application programming interfaces (APIs) that allow external companies to connect with us, while ensuring that end customers get the same service no matter whether the product is internal or external.