With engineers spread across four offices, collaboration and communication in trivago’s IT is a challenge. Additionally, new engineers join the company all the time, which makes it even harder to figure out who to talk to about certain products, packages, and technologies.
At trivago we are building and using a Pattern Library which is based on Brad Frost’s Pattern Lab adapted to our needs; our patterns are written in Twig. This Pattern Lab is based around Brad’s Atomic Design, which is also something that we are embracing.
How can we organize the collaboration of more than a hundred developers on a wide range of topics? How could they decide about good practices in the company? Those are some questions that drove trivago to give it a try on a different structure: the guilds.
At trivago we store a subset of our realtime metric data in InfluxDB and we are quite impressed by the load it can handle. Despite all the joy, we had to learn some lessons the hard way. It is pretty easy to overload the database or the web browser by executing queries that return too many datapoints.
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
While our company and our application were constantly growing, we often ran into some consistency issues between code and design. Because we didn’t have a design/frontend system and development guidelines to follow, our UI became cluttered and unsustainable.
At trivago we rely heavily on the ELK stack for our log processing. We stream our webserver access logs, error logs, performance benchmarks and all kind of diagnostic data into Kafka and process it from there into Elasticsearch using Logstash.
When using webpack to build your assets, it’s only a matter of time until you wish for targeted builds. Whether it’s the output of the library you’re working on (CJS, UMD, AMD, Var, etc.), or the specific feature set (IE8 support, no IE8 support).
parallel-webpack can run those builds in parallel.