When migrating your data to new technologies, validation of the data becomes challenging as your data structures might change. Rebase tries to make this easier while also giving your more flexibility on your data.
Posts about Trivago
Around a year ago, in our large scale refactoring project also known as Project Ironman, we stepped away from image sprites that we used for our icons. In this post we will explain our reasoning behind this decision and how it improved maintainability and website performance.
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.
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.
One of our core values at trivago is fanatic learning. Twice a year, the trivago software developers gather to have a 2 day internal hackathon. This December saw another round of ambitious creativity, relaxed atmosphere, and good food.
Caching data is an essential part in many high-load scenarios. A local 1st-level cache can augment a shared 2nd-level cache like Redis and Memcached to further boost performance. An in-process cache involves no network overhead, so the cache speed is only limited by local resources like CPU, memory transfer speed and locking.
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