Hello from trivago's performance & monitoring team. One important part of our job is to ship more than a terabyte of logs and system metrics per day, from various data sources into elasticsearch, several time series databases and other data sinks. We do so by reading most of the data from multiple Kafka clusters and processing them with nearly 100 Logstashes. Our clusters currently consists of ~30 machines running Debian 7 with bare-metal installations of the aforementioned services. This summer we decided to migrate all of this to an on-premise [Nomad](https://www.nomadproject.io/ cluster) cluster.
Machine Learning (ML) engineering and software development are both fundamentally about writing correct and robust algorithms. In ML engineering we have the extra difficulty of ensuring mathematical correctness and avoiding propagation of round-off errors in the calculations when working with floating-point representations of a number.
I’m a product designer at trivago, and would like to share some insights into one of our biggest projects we tackled in the last period. Well, from a product design perspective at least.
I’m Behrang Yarahmadi from Iran and I’m a 3rd-year Computer Engineering student at the University of Duisburg-Essen.I’m Behrang Yarahmadi from Iran and I’m a 3rd-year Computer Engineering student at the University of Duisburg-Essen.
Test, test, test. If you don’t, an issue is bound to crop up in production sooner or later.Test, test, test. If you don’t, an issue is bound to crop up in production sooner or later.
Ten participants from nine countries — India, Cuba, Tunisia, England, Poland, Spain, Indonesia, Malaysia, and Brazil. Even on trivago scale, this kind of diversity was impressive.Ten participants from nine countries — India, Cuba, Tunisia, England, Poland, Spain, Indonesia, Malaysia, and Brazil. Even on trivago scale, this kind of diversity was impressive.
If you’re using Amazon Web Services, then there is a higher possibility that you’re familiar with Amazon S3. Amazon S3 ( Simple Storage Service ) is a widely used service where we can store (theoretically unlimited amount of) our data with a high availability (99.99%). That’s why we, the Visual Content team at trivago, use Amazon S3 to store the images which you see on our website and many other tools.
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