You must have been living under a rock if you haven’t heard the Kubernetes (k8s) hype over the last few years. It has quickly become the platform of choice for running applications for many modern tech companies and Delivery Hero is one of them. What is unique about DH, is that some of our tech teams are very isolated, sometimes even on different continents, speaking different languages, with different applications trying to solve different problems.
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.
You are all probably familiar with the most common problem of having one big platform – It’s too big to handle, it is hard to understand, it can be tricky to deploy new features and it can be a pain to onboard new engineers. In my team at Delivery Hero, we decided to tackle this issue by using Docker. In this article I will explore how we use Docker for frontend and how it helps us to make all our lives easier.
Salesforce is the world’s largest cloud CRM system, used by many companies globally. Delivery Hero uses Salesforce to track all interactions with our partners and customers across the world. Mantas and Goverdhan, both Salesforce developers at Delivery Hero, share their experiences of why they became Salesforce developers and what makes it so exciting to work on the Salesforce implementation at Delivery Hero.
My name is Miguel Angel Mingorance Fernandez and I’m a Systems Engineer at Delivery Hero, working to ensure high availability in our foodora/foodpanda platform and providing solutions to improve the performance, capacity and resilience of our infrastructure.
Kubernetes is a very flexible system but not perfect. When it comes to cluster scaling, the delays in spinning up new nodes can create latency in dealing with the increase of requests that triggered the scaling, causing a negative feedback because we can’t handle the traffic quickly enough.
My name is Kostas Stroggylos and I am a Senior Software Engineer, acting as the tech lead for the team building the Restaurants and Internal Tools at e-food. During the last week of January I had the pleasure of attending the Domain-Driven Design Europe 2019 conference in Amsterdam. It was two exciting days filled with exchanging ideas with practitioners and fellow meetup organizers from all over the world, drawing models with strangers, trying to uncover DDD Borat’s identity, taking sketchnotes and using a lot of post-it notes. Now that the excitement has settled, I want to share some of the highlights and takeaways from this event.