Posts about Backend

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.

We built a reactive pipeline to move almost a quarter billion database records to AWS and to build a reactive and serverless pipeline. This is the story of the lessons we learned along the way working with Kinesis and Lambdas

One day, Memcached ran out of free memory. The method get failed and all requests went directly to the database. Of course these calls also failed under the huge load, and eventually it caused downtime for the whole trivago website. Yikes!

We do think that our tech blog is full of interesting things powered by our engineers' great stories. Let us take you on a journey of how we maintain trivago tech blog from the technical perspective and how we recently automated its deployment process.

We all have been there, done that. You want to build an API that allows you to manipulate your entities so you start checking which specification to use. Maybe REST or JSON API or maybe no specification. Once you have decided which way to go it’s time to create the controllers. Each controller needs at least 5 actions: one to get a single entity, one to get the collection and 3 others to create, update and delete.

We’re a data-driven company. At trivago we love measuring everything. Collecting metrics and making decisions based on them comes naturally to all our engineers. This workflow also applies to performance, which is key to succeed in the modern Internet.

At trivago we use Jenkins as our main CI tool. However, when our physical setup was not enough we needed to move it to the cloud and implement an automated slave scaling. This is the definite guide with all the steps we took to implement an auto scaling Jenkins platform.

For our products, like the trivago hotel search, we are using Redis a lot. The use cases vary: Caching, temporary storage of data before moving those into another storage or a typical database for hotel meta data including persistence. The main parts of the hotel search are built with PHP and the Symfony Framework for the frontend (web) and Java for the backend part. In this article, we will focus on the collaboration between our PHP application and Redis. Both are running fine, but it was a long and hard way up to the current situation. This is the story of how we learned to use Redis, including our failures and experience.

Configuration management tools have recently gained a lot of popularity. At trivago we use SaltStack to automate our infrastructure. As the complexity of configuration files and formulas is increasing, we need a fast, reliable way to test our changes.