Read trivago Tech Check-in: Meet Mohammad

trivago Tech Check-in: Meet Mohammad

trivago is the home to 500+ tech specialists from all corners of the globe – each with their own unique background and story of how they ended up here. Our trivago Tech Check-in series focuses on individual engineers' experience during their time at trivago. In this edition, you'll meet Mohammad Abed – a frontend software engineer who has been with trivago for 11 months now and is working on our Express Booking product.

Read trivago Tech Week 2021 in Review

trivago Tech Week 2021 in Review

In the middle of summer 2021, we hosted one of our favourite annual events of the year - trivago Tech Week! This year’s tech week had a new, hybrid format, featuring a wide variety of talks and exchange forums, hosted both by internal talents and external speakers. To make things even more engaging, the week included virtual opportunities for talents to gather and converse across departments, a gaming tournament and a highly anticipated live-music concert to tie everything together!

Read Postmortem: Removing all users from github.com/trivago

Postmortem: Removing all users from github.com/trivago

While engineering, we fix bugs, create new systems, build workflows and establish processes. Our job is to change things. Changing things can involve mistakes that ultimately lead to the failure of a particular system. To learn from these failures, a retrospective is helpful to get to the root of this problem. In the tech industry, a Blameless PostMortem is the right tool for this job.

How we build the Image Gallery on trivago

When was the last time you booked accommodation without checking its photos? Most probably never! Because having imagery information makes our decision-making process much easier and faster. However, picking up the best possible images of a hotel to show to the user is an interesting problem to solve, because it can be a naive random selection or a sophisticated machine learning model to know what the user truly wants at that moment.

Read Proper (Java) application life cycle management in Kubernetes

Proper (Java) application life cycle management in Kubernetes

When operating applications in Kubernetes, proper lifecycle management is crucial to enable Kubernetes to manage applications correctly throughout their different phases: startup, runtime and shutdown. Improper or incomplete lifecycle management can lead to incidents with unforeseen and difficult to debug application behavior, such as random CrashLoopBackOffs, broken/zombie services not being restarted or even entire services not becoming healthy after a scheduled restart.

Designing Marketing Emails via predefined Modules in Salesforce Email Studio

When techies hear about email marketing and designing HTML emails, they typically roll their eyes and think of a very boring field of work. In this article, we hopefully can explain to you why this is wrong from our perspective. Our team built a solution that our marketers use to easily design HTML emails with predefined modules within our email marketing platform Salesforce Email Studio, which is part of the Salesforce Marketing Cloud (SFMC). This article gives you an overview of our approach as well as why and how we built such predefined modules for Email Studio on our own.

Read Java Reactive Programming - Effective Usage in a Real World Application

Java Reactive Programming - Effective Usage in a Real World Application

This article presents how trivago's search backend team used reactive programming in Java effectively when designing and implementing one of our many Java backend services. Compared to traditional imperative and functional programming, reactive programming requires a mindset-shift in order to apply the concepts and techniques effectively. The benefits we gain support us in some key challenges that every engineer is facing with essentially every (micro-) service in today’s backend architectures: handling of blocking IO, backpressure, managing highly varying loads as well as message and error propagation.

Read Reactive Programming - The Price You Have To Pay For A Responsive Backend

Reactive Programming - The Price You Have To Pay For A Responsive Backend

In the trivago backend, we use the reactive programming pattern for fetching prices from advertisers and updating our caches. This helps us to increase the responsiveness (i.e., scalability and resilience) of our backend. Thus, our backend system can alleviate high response times from internal components and our advertisers while staying responsive, even if downstream components fail entirely. Here is how we use the Java library Reactor Core to ensure those guarantees:

Read Rethinking the Next-gen Analytics Web App at trivago

Rethinking the Next-gen Analytics Web App at trivago

After almost a decade, we decided to rebuild our in-house Business Intelligence web application to better support the organization. It is always challenging to replace software with a long history and a high degree of complexity. Nevertheless, we successfully completed the project because we fundamentally challenged and re-thought all aspects of the project.

Read How To Get Fooled By Metrics

How To Get Fooled By Metrics

Metrics are one of the main building blocks in the topic of observability.

Hence, we have a lot of metrics within our applications and especially for the connections between our applications. Every outgoing request has its latency measured and we also record the sizes of the request and the response. These numbers are collected in histograms and based on that data, in our Grafana graphs, we create corresponding graphs that show us e.g. the median size of request- and response payloads or the 99th percentile of call durations.

Read Deep Dive Into Data Science at trivago

Deep Dive Into Data Science at trivago

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.