#Fleet Command

A comprehensive IoT platform for managing a vast fleet of connected vehicles and assets. Features real-time tracking, predictive maintenance, route optimization, and comprehensive reporting for logistics operations.

##The Challenge

Our client, a global logistics company, needed to manage 50,000+ connected vehicles across multiple continents. Their existing system couldn't handle the volume of telemetry data and lacked predictive capabilities for maintenance scheduling.

##Our Approach

###Phase 1: Event Processing

We built a high-throughput event processing pipeline using Kafka and Rust:

• Ingestion: 100M+ events per day from MQTT brokers
• Processing: Real-time stream processing with Kafka Streams
• Storage: TimescaleDB for efficient time-series queries

###Phase 2: Offline Resilience

Developed a store-and-forward protocol for unreliable connectivity:

• On-device event buffering during connectivity loss
• Automatic synchronization when connection resumes
• Data deduplication and ordering guarantees

###Phase 3: Predictive Maintenance

Built an ensemble ML model for predicting vehicle failures:

• Feature engineering from telemetry patterns
• Gradient boosting + neural network ensemble
• 72-hour advance warning for critical failures

##Results

• 50K+ devices managed
• 100M+ events processed daily
• 23% reduction in maintenance costs
• 72h average advance failure warning

##Technical Highlights

• Rust-based MQTT broker for high-performance ingestion
• Kafka Streams for real-time event processing
• TimescaleDB for efficient time-series storage
• Kubernetes for global orchestration

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