travel audience - microservices
25/01/2018 tech

Choosing an API technology for micro-services

At travel audience we are currently in the progress of migrating our backend systems from a monolith (actually a pair of .NET web applications and Postgres database) to a micro-service based architecture. Our Team Lead for...

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12/01/2018 tech

Storing Protobuf bytes in BigTable

One of our Data Engineers Benjamin has published an article about Storing Protobuf bytes in BigTable. At travel audience, we have a need to store a large quantity of data (1.6 TB / day with 3 months...

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trinity college
30/11/2017 tech

Artifact Repository Management

At travel audience we design, implement, run and maintain loads of software pieces. For instance, we have apps that consume, process and generate millions of messages per second, where minimalism is key to achieve low-latency,...

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Scheduling tasks on Google cloud platform
24/11/2017 tech

Scheduling tasks on Google cloud platform

At travel audience we use Google Cloud Platform in our data engineering stack. Every day, we process terabytes of data using Apache Beam streaming workflows (on Cloud Dataflow). Our analytic workload is powered by batch jobs using...

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10/11/2017 tech

Testing Background Network Requests with Selenium

Few words are required to express the importance of e2e testing for any piece of software, and this definitely holds for frontend UIs. Testing is hard, but it pays back if done properly. Selenium gives...

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testing tools
09/11/2017 tech

Tooling in a React Application

At the end of 2016, we the Frontend team @ travel audience, had found ourselves with a large sized React-Redux application, with a fairly modern technical stack, a decent amount of test coverage and 3 developers...

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