Innovation is the driving force in our Tech department
Discover our products and the people who make them
The AppLift Engineering team works on a full-stack self-serve demand platform, which includes real-time bidding, social capabilities, as well as advanced campaign management functionalities. We help app developers intelligently bid on advertising spaces in milliseconds. We run a multi-continent infrastructure that handles billions of requests a day, crunching huge amounts of data.
Meet our Team
"I am excited that we are building technology that solves real business needs and has a direct impact on improving the experience of advertisers, publishers and users. Additionally, we have a great team and culture here at AppLift, where we believe in innovation, ownership and trust."
Chief Innovation Officer
"At AppLift Labs we have the freedom to explore new technical ideas and tackle adtech industry’s key challenges. My favourite part is working closely with a group of bright entrepreneurs with a deep intellectual curiosity and strive to define the future of mobile adtech."
Tools we Use
We’re agile and we work fast in short iterations, handling high quality code. Here are some of the tools we use:
Visit our tech blog to learn more about the ideas behind AppLift’s engineering workflow. Discover technical tips, product features, latest engineering updates, and much more.
Upgrading Spark, or A Tale Of Two Class Loaders
At AppLift we use Apache Spark for quite a few data pipelines, and we are big fans of both Spark and Scala. That said, recently we were a little bit puzzled after getting exceptions while trying to upgrade to version 1.5.2Read More
Go MySQL Driver Boosts Ad Server Performance
This is a cool open source project that was originally created by our friends at PubNative. The new Go MySQL driver creates less objects in the heap, resulting in a lower Garbage Collection time.
AppLift's Frontend Philosophy
Here at AppLift we have multiple internal tools for managing our ad campaigns. Our methods don't deviate much from well-known practices, we prefer small autonomous components with explicit interface.Read More