What does Data Science at trivago look like in practice? Which major challenges have we encountered as a travel-tech company since the COVID-19 outbreak? What’s it like to work in Data Science at trivago? In this Q&A with James Neaves (Business Intelligence Lead), Andrea Fernandez (Data Science Team Lead), and Sheetij Jain (Product Manager in User Profiling) we’ll answer all these questions and more. Note: This article has been adapted from theoriginal Q&A conducted by C1 Insights.
This is part two of our series about trivago engineer’s side projects. The first part is here. As always, take a look and feel free to reach out to any of them if you’d like to exchange on any of their topics! Hello Rust Our backend engineer Matthias Endler is running a YouTube channel about the Rust project as a side-project. In there he explains the ins and outs of the language, but his goal is not only to present information; rather, he’s striving to inspire fellow developers to try the language and stay curious.
Fanatic learning is one of trivago’s core values that forms a fundamental part of our engineering culture. It’s very valuable to have curious minds around you that connect the dots to come up with new ideas and love to exchange knowledge on various topics. Since many of our engineers are involved in their own initiatives and projects outside work, we decided to introduce you to some of these side projects. The goal is to recognize their achievements and share their knowledge with our broader tech community.
Over the past few months, I was given the opportunity to try out the life of a Product Owner (PO), alongside retaining my responsibilities as an engineer. The life of a PO has always intrigued me since I joined trivago 2 years ago, and I always found myself unofficially taking on roles that were traditionally done by them. Things like reaching out to stakeholders for collaboration, thinking about KPIs and impact, and general “aligning”.
In our new series, trivago Tech Check-in, we’re introducing you to some of our tech talents from across the globe who help keep our metasearch engine running smoothly everyday. In this first edition, you’ll meet Fabian Fritzsche, an engineering intern that works on the Microservice-System that feeds our GraphQL API with up-to-date hotel data.
At trivago we operate a hybrid infrastructure of both on-premise machines and clusters on Google Cloud. Over time, we came up with a set of deployment guidelines for running our workloads as more and more of them are migrating to Google Cloud. These are not strict rules, but rather suggestions to best serve each team’s needs. Teams are meant to have full control over their workloads, but most of the time they “just want to run things” and do not have the time or resources to care much about managing the underlying infrastructure.
Breakpoint 2020 is a 4-day virtual summit on everything testing. It takes place on July 20-23, 2020. One of our engineers, Benjamin Bischoff will be giving a talk and BrowserStack did an interview with him! After 15 years as a game/application developer and trainer, Benjamin decided to make test automation his career. He’s currently a Test Automation Engineer in trivago’s core QA team. Benjamin is also the author and maintainer of two open source projects for Cucumber BDD parallel test execution and reporting.
Tackling hard problems is like going on an adventure. Solving a technical challenge feels like finding a hidden treasure. Want to go treasure hunting with us?View all current job openings
The price of reliability is the pursuit of the utmost simplicity. — C.A.R. Hoare, Turing Award lecture Introduction Have you ever enthusiastically released a new, delightful version to production and then suddenly started hearing a concerning number of notification sounds? Gets your heart beating right? After all, you didn’t really expect this to happen because it worked in the development environment. This “But it worked in the development environment!
On a normal day, we ingest a lot of data into our ELK clusters (~6TB across all of our data centers). This is mostly operational data (logs) from different components in our infrastructure. This data ranges from purely technical info (logs from our services) to data about which pages our users are loading (intersection between business and technical data). At trivago,we use Kafka as a central hub for moving data between our systems (including logs).