Project
Telemetry Data Management
Sector
F-Class Motorsports
Project Type
Design & Development
Case Study: Rapid Access to Race Car Telemetry Data
Supporting Real-Time Decision Making
About The Client
Our client is a leading team in premier F-Class motorsports with multiple grand prix victories, multiple World Championships, and multiple Constructors’ World Championships.
Data is a critical asset in F-Class motorsports, where real-time analysis can make the difference between winning and losing races.
The Client’s Challenge
Real-Time Decisions Need Instant Data
During a race weekend, both cars generate around 25GB of data, from over 6000 telemetry channels. This equates to 0.5TB for one Season.
Engineers, Aerodynamicists, and Data Scientists need rapid access to channel data from multiple Seasons, to quickly aggregate, compare, and identify trends & outliers before and during live race sessions.
Data was held in multiple silos and repositories, making it cumbersome to assimilate related data into cohesive data sets. In some cases, it could take hours or days to consolidate the data needed to generate reports.
The Solution
Telemetry Data Aggregation System
We imagined, designed, and delivered a complete Telemetry Data Aggregation System, capable of ingesting and aggregating data from multiple heterogenous data sources. This was coupled with high-speed search and filtering capabilities via a friendly API.
The solution was designed for scalability from the outset, so it could be re-purposed behind Web APIs with minimal effort. We assisted the client’s Development Team to deliver the final solution.
Selecting the Right Tools
Solution Architecture
We used our experience in Solution Architecture to assess the data formats and data lifecycle, identify the boundaries between concerns, and design clean API surfaces for the solution.
Results
Data Access In Seconds
This system opened up the ability for Engineers, Aerodynamicists, and Data Scientists to obtain datasets in a fraction of the original time, and the outlier cases dropped from hours/days down to seconds.