AI and Innovation Take Center Stage at trivago Tech Get Together 2024

Over the last year trivago refactored the existing GraphQL monolith and moved to a microservice architecture, in what is also known as a federated setup. Federated GraphQL, as championed by Apollo, represents a significant shift in how companies architect and scale their GraphQL ecosystems, especially when transitioning from monolithic designs to microservice-based architectures. In a federated setup, each microservice maintains its own GraphQL schema, relevant to the domain it serves. These individual schemas are then seamlessly stitched together into a unified gateway. This gateway serves as the single access point for clients, enabling them to query data across multiple services as if it were coming from a single, monolithic GraphQL API. Such change involves also a completely new approach to the test and delivery, with the goal of empowering developers to quickly and safely deploy to production autonomously.

At trivago, tech meetups are one of our favorite formats to learn and exchange knowledge. In April, we hosted the 2nd edition of the QA Meetup, which turned out to be a great success. The event attracted over 65 attendees from various roles and companies. The evening was filled with inspiring talks by several talented QA experts. Attendees were sharing insights, asking questions, and soaking up knowledge. To make things even more exciting, there was a competitive quiz that got everyone on their toes, and a magic show by one of our speakers that completely amazed the audience.

When we think about migration, we usually imagine moving something or someone from one place to another. Doing so has inherent complexities, which can exponentially grow when migrating a software solution. In this article, we’re sharing our experience on how we migrated all our image-related infrastructure to GCP (Google Cloud Platform) from a combination of AWS (Amazon Web Services) and our Data Centre.

Learning about risk-taking, sentiment analysis, cybersecurity, and psychological safety in one evening? That’s quite a mix, isn't it?

That’s what the audience got offered at the Women in Tech meetup, which took place on February 29th in trivago's office space. Together with iteratec, trivago had the pleasure of bringing together the vibrant community of female tech talents and their allies on the occasion of International Women's Day, for an evening featuring stories about risk, safety, and continuous improvement.

This article is written for individuals in data science or analytics roles who are familiar with terms such as confidence interval, databases, or workflows. It is aimed at those who need to implement anomaly detection techniques for various types of users with different needs. In this article, I will share my experience from working at trivago, with a specific focus on internet traffic. Rather than delving into the details of mathematical models (as there are already many well-covered articles on this topic), I aim to provide insights into real-world situations encompassing a wide range of business needs. These situations require tailored solutions to cater to different types of stakeholders.

During the development of customer-facing applications, time is crucial, especially when it comes to testing and analyzing changes before accepting them in production. This blog post explores how we developed a Java-based reactive tool to simulate production requests, that allows us to have quicker hints about the effects of changes introduced and be more confident about the hypotheses that are formulated. As a long term vision, we wish to significantly reduce the A/B testing time and ensure seamless transitions.

Why should you retry all tests on failure? Why not? This article will not go into details, listing pros and cons of each approach. There are already enough resources on the Web about the topic, listing valid points for both opposing views. As trivago Hotel Search frontend QA team over the last years we tried to stay away from a brute-force retry policy for failures and we rather tried to execute test retries only in selected cases. Recently, when we switched to a Continuous Deployment approach for our new frontend Web application (which empowers developers to merge and release some pull requests autonomously), we faced a greater need than before for understandable and stable test results. Due to that, showing as few “red flags” as possible for the automated checks on pull requests became even more important to ensure enough confidence in test results and to avoid slowing down the software development life cycle. The requirements and the balance between deterministic results and success ratio shifted, at least in some cases.

At trivago, our talents get to work with many of the latest technologies, including Artificial Intelligence (AI). In fact, we are actively using AI not only to enhance our day-to-day work, but also to innovate on our product. We chatted with two Product Managers at trivago, Sören Weber and Henrique Portes, who shared how their teams are experimenting with Generative AI in their projects. We discussed the challenges they faced, their key learnings, and asked them to share advice for other product managers looking to integrate AI into their product.

Meetups are one of our favourite events at trivago. They give us the opportunity to learn, share knowledge & experience, as well as network with fellow professionals and enthusiasts in the industry and community.

Greetings! It’s remarkable how technology continually evolves and impacts the tools we use for creating and developing products. Figma has recently gained recognition as an excellent alternative to Sketch and Abstract, offering product teams a more collaborative and efficient design process. At trivago, our design team consists of passionate Figma admirers. While we acknowledge that each organization has unique needs and procedures, we found switching from Sketch to Figma a valuable overall experience. Figma is filled with collaborative and user-friendly tools for ideation and prototyping that sets it apart from its competitors.