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Purple Metaballs
Open source, both as an idea and as software, is at the heart of what we do at FLYR, including in our marketing technology engineering department.
As part of our responsibilities as data engineers on a team focused on delivering key customer metrics, the FLYR Cloud team challenges ourselves to build flexible ways of managing our pipelines.
FLYR’s engineering team estimates new pricing strategy outcomes before production to ensure the most successful models are deployed.
FLYR’s airline customers require lightning-fast turnaround times when generating seat prices, and at 3500 API calls per airline per second, every millisecond counts.
FLYR’s engineering team discusses how to implement Python dependency injection in your projects at multiple levels of engagement.
Ksenia Khlyustina spoke with Architecting with Google Cloud host Mikhail Chrestkha about how FLYR is using machine learning to forecast demand, set prices, and optimize revenue with the help of Google Cloud Services.