The Benefits of Dynamic Pipeline Generation Airflow
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.
Tech Blog8 minutes read
The Benefits of Dynamic Pipeline Generation Airflow
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.
Off-Policy Evaluation: Valuing New Pricing Models Using Reinforcement Learning
FLYR’s engineering team estimates new pricing strategy outcomes before production to ensure the most successful models are deployed.
Leveraging Data to Select the Right Language for High-Performance APIs
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.
Sustain your Application’s Loose Coupling with Dependency Injection in Python
FLYR’s engineering team discusses how to implement Python dependency injection in your projects at multiple levels of engagement.
How Airlines Forecast Demand with FLYR and Google Cloud
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.
FLYR’s Uncompromising Approach to the Highest Data Security Standards
FLYR was built with a data-first, cloud-based mentality, which means putting data security front and center. We take our airline customers’ security and data privacy seriously and are compliant with the most stringent SOC 2 cloud-based storage regulations.
