Real-Time Fleet Tracking Guide
Build a production fleet tracking system with gRPC and REST
A comprehensive engineering guide to building a real-time fleet tracking backend from the ground up. Covers gRPC streaming for device telemetry ingestion, REST API for dashboard queries, PostgreSQL + TimescaleDB for time-series storage, geofencing with PostGIS, and Kubernetes deployment architecture for 10,000+ active devices.
Inside the guide
What You'll Learn
gRPC Streaming Architecture
Proto definitions, server streaming implementation, backpressure handling, and client reconnection logic.
TimescaleDB Storage Design
Hypertable schema, compression policies, continuous aggregates for dashboards, and partition management at scale.
PostGIS Geofencing
Polygon geofence queries, optimized spatial indexes, and event generation on boundary crossing.
Kubernetes Deployment
Helm charts, horizontal pod autoscaling for the ingest layer, and multi-region failover configuration.
Table of Contents
Who This Is For
Written by engineers, for engineers
Senior Engineer
Building production systems and tired of re-inventing the wheel on every project.
Software Architect
Needs battle-tested patterns to back architectural decisions with evidence.
Startup CTO
Must ship fast without accumulating technical debt that kills you later.
The Problem
Designing a system that ingests 50,000+ GPS events per second requires specific architectural choices that aren't documented in generic backend guides
TimescaleDB, PostGIS, and gRPC streaming together are powerful but poorly documented as a combined system
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Complete Guide
- Lifetime PDF access
- 600+ page guide
- Full Go/Python source code
- Video series (12h)
- Private Discord access
- Free updates for 2 years
Frequently Asked Questions
What programming languages are used?
Go for the gRPC ingest service (performance-critical) and Python/FastAPI for the REST dashboard API. Infrastructure tooling in Bash and Terraform.
Can I use this guide for a ride-hailing app instead of fleet tracking?
The architecture is directly applicable. Chapter 11 covers driver-passenger matching as an extension to the base tracking system.