F1 Live Data in Grafana: Turning Race Telemetry into Real-Time Strategy

How Cloud Intelligence built the f1-live-data system using FastF1, InfluxDB, and Grafana to help race engineers monitor live telemetry, anticipate undercuts, and make split-second strategy decisions with confidence.

Demo Details

Duration: 6-8 minutes
Category: Real-Time Analytics
Complexity: Intermediate

Technologies

Python FastF1API InfluxDB Grafana Time-Series Analytics

Watch Demo

Key Features

  • Real-time F1 telemetry visualization
  • FastF1-powered data ingestion
  • InfluxDB time-series storage
  • + 2 more features

Why Real-Time Data Defines Formula 1

Formula 1 is not only a sport of speed, it is a sport of data. A modern F1 car generates millions of telemetry points per race, covering everything from throttle position to tire surface temperature. Race engineers face one challenge above all: making split-second strategy calls that determine whether their driver finishes on the podium or outside the points.

To meet that challenge, Cloud Intelligence data team built the f1-live-data system, a real-time telemetry and strategy dashboard powered by FastF1, InfluxDB, and Grafana. It transforms live F1 timing feeds into interactive dashboards that race engineers can use to monitor performance, anticipate undercuts, and react instantly to race control messages.

System Architecture: From Track to Dashboard

The system consists of three main components, each optimized for live telemetry:

1.Data Importer (Python + FastF1)

The Data Importer is a Python application built on the FastF1 library that connects directly to Formula 1’s live timing API. It continuously captures incoming lap, sector, and telemetry data streams, processes and transforms them in real time, and then writes the cleaned data points into the Influx time-series database. This ensures that every critical performance indicator is captured with minimal delay.

2.InfluxDB (Time-Series Database)

InfluxDB serves as the storage backbone of the system, handling telemetry with nanosecond precision. Data is organized within the f1/data bucket, which is optimized for high-performance time-series queries. The database accommodates both raw telemetry, such as lap times and speed trap readings, and pre-aggregated rollups like average pace and driver gaps. This dual structure makes it possible to analyze both granular and high-level race trends quickly.

3.Grafana (Visualization Layer)

Grafana acts as the visualization layer that transforms stored telemetry into meaningful insights. It connects directly to InfluxDB, executing live queries to render interactive dashboards that track lap times, driver gaps, weather conditions, and race control decisions. Dashboards refresh within seconds, providing teams with a near real-time view of race dynamics.

4. Data Flow

The data pipeline is designed to be seamless: F1 Live Timing API → Data Importer → InfluxDB → Grafana Dashboard.With this flow, engineers receive the same telemetry data transmitted from the car, but in a structured, strategy-focused interface that supports quick and informed decision-making on the pit wall.

F1 telemetry pipleline

Strategy on One Screen: Turning Telemetry into Answers

The true value of the f1-live-data system lies not in the sheer volume of telemetry it processes, but in how it transforms that data into clear, actionable answers. For race engineers, the dashboard is not just a visualization tool, it is a strategy command center. On a single screen, it provides insight into the five essential questions that determine whether a race strategy succeeds or fails.

Lap Times: Measuring Pace, Validating Strategy

Lap times are the foundation of performance analysis. In our dashboard, they are displayed in a precision table down to milliseconds, giving engineers instant visibility into whether their driver is gaining or losing time on each lap. This makes it possible to track trends in pace, identify sudden slowdowns, and confirm whether rivals are being matched or outpaced.

The strategic value here is direct: consistent slow laps signal it may be time to pit, while steady, competitive times confirm that the chosen tire and fuel strategy is delivering results. By presenting these insights in real time, the dashboard ensures that teams can react quickly to maintain race tempo and avoid costly hesitation.

Intervals and Gaps: Tracking Position and Pressure

Race outcomes are defined not only by lap times but also by track position relative to other drivers. The dashboard presents intervals to the car ahead and gaps to the race leader through a combination of table standings and a time-series chart that shows how these values evolve over time.

This dual view gives teams both immediate tactical cues and strategic context. An interval under one second signals DRS availability and a potential overtaking opportunity on the next lap. Conversely, if a chasing driver is closing the gap, defensive measures such as adjusting pace or tire management may be required. These insights form the heartbeat of race position strategy, dictating when to attack, when to defend, and when to conserve.

Pace Benchmarking: Identifying the True Standard

In Formula 1, performance is relative. That’s why the dashboard highlights the fastest and slowest drivers on track in real time, using single-stat panels to show driver names and lap times. If your driver is setting the pace, it validates both the car setup and the broader race strategy. If not, it reveals who has the benchmark pace and how much ground must be recovered.

This information is critical for setting expectations and refining strategy. A team that understands where it stands against the fastest car on track can make more informed decisions about whether to push harder, extend a stint, or prepare for an aggressive pit stop window to regain ground.

Race Dashboard Race Engineer Dashboard: Glance into racing telemetry

Weather Intelligence: Anticipating the Unpredictable

Few factors influence race outcomes more dramatically than weather. To address this, the dashboard tracks key variables air and track temperature, rainfall, and wind through multi-stat panels and time-series charts. These insights directly guide decisions such as tire compound selection, fuel consumption planning, and car balance adjustments.

The immediate benefit is clarity: slicks remain optimal in dry conditions, but the moment rainfall increases, the data supports switching to intermediates or wets. Beyond tires, wind direction can subtly but significantly impact fuel burn, with headwinds increasing consumption and tailwinds reducing it. Weather intelligence often defines pit stop windows, and reacting within the right thirty-second window can change a race result by several positions.

Weather Telemetry Dashboard

Race Control: Responding to the Rulebook in Real Time

No dashboard would be complete without integrating race control decisions. The system logs every race control message ; yellow flags, penalties, virtual safety cars, and full safety car deployments in chronological order, complete with timestamps.

For strategy teams, these messages can be more decisive than raw pace. A safety car immediately creates the opportunity for a “free” pit stop, saving roughly twenty seconds. Yellow flags enforce no-overtake zones, requiring immediate driver instruction to avoid penalties. And when rivals are handed penalties, teams can adapt their approach to maximize finishing positions.

This log ensures that no critical regulatory update is missed. By embedding race control directly into the strategy dashboard, teams can remain compliant while also exploiting every opportunity that sudden regulatory changes present.

Race Control Message

Cloud Intelligence: Engineering Race-Winning Insights

At Cloud Intelligence, we don’t just process telemetry, we turn live Formula 1 data into race-winning strategy. The f1-live-data system demonstrates how our expertise in real-time analytics can be applied to one of the most demanding environments in the world: Formula 1 racing. By uniting telemetry, strategy, and regulatory signals on a single screen, we show how data-driven intelligence can turn split-second decisions into race-defining outcomes.

What distinguishes Cloud Intelligence is our ability to engineer systems around the unique needs of the domain. For motorsport, this means building pipelines that can capture nanosecond telemetry, store it efficiently, and surface it through Grafana dashboards designed for pit wall decision-making. We don’t deliver generic templates, we craft purpose-built solutions that help engineers monitor pace, anticipate undercuts, and react instantly to changing conditions.

The result is a platform where data becomes strategy. From validating tire choices to timing pit stops with surgical precision, Cloud Intelligence ensures teams move from reactive adjustments to proactive race control. By bridging live telemetry with intuitive visualization, we empower engineers, strategists, and decision-makers with the clarity to act faster, smarter, and with confidence.

In Formula 1, milliseconds decide winners and losers. With Cloud Intelligence, those milliseconds can be turned into lasting competitive advantage.


Want a dashboard that matches the intensity of Formula 1 and the precision your team demands? Get in touch with Cloud Intelligence, and we’ll design a real-time telemetry and strategy dashboard tailored to your racing goals, helping your engineers anticipate undercuts, manage tire life, and make pit wall decisions with championship-level clarity.