100k+
Electronic vehicles charged.
EV Provider Reduces Dev Time by 50% with Cloud Optimization
Intelligent infrastructure for grid-free charging across thousands of locations
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2x
Reduction in development time by 10 hours per week.
30%
Less RAM consumption with cache optimization.
Client Overview
A leading battery-integrated EV charging platform needed a scalable digital foundation to manage its growing network of mobile charging units.
They wanted to streamline back-office operations and reduce servicing delays for reliable power in real-world, high-traffic conditions.
Challenges
Distributed charging infrastructure had flaws in uptime control, location accuracy, and data processing across high-traffic environments.
Unreliable System
Service interruptions in billing and charging flow disrupted user experience, revealing the need for stronger uptime stability across the platform.
GPS Inaccuracy
Signal fluctuations from devices created location mismatches, making it harder for users to find chargers and impacting field coordination efforts.
Data Volume Strain
Massive data generated by connected chargers strained backend systems, causing performance degradation during peak fleet activity.
Solution
We re-architected the EV charging platform to support scalable data ingestion, real-time visibility, and remote control across thousands of field-deployed chargers.
Fleet Operations Platform
Built a centralized platform to manage the fleet location, service health, charge scheduling, and energy used, providing real-time visibility and automated backend control at scale.
Real-Time Telemetry Layer
Enabled charger-side telemetry to continuously stream device status, session details, and energy data, supporting diagnostics, reporting, and proactive service coordination.
Scalable Data Infrastructure
Implemented an event-driven backend to ingest millions of daily IoT signals from distributed chargers, ensuring consistent system stability and low latency during traffic spikes.
Remote Device Control
Enabled centralized control to reconfigure charging parameters, push software updates, and monitor health status remotely, reducing on-site intervention across global deployments.
Business Impact
The new platform enabled efficient charging operations, reduced infrastructure load, and became scalable to serve growing demand with minimal overhead.
High-Volume Service Delivery
The system reliably supported 100,000+ EV charge sessions with minimal downtime, ensuring performance across nationwide charging deployments.
Faster Development Velocity
Improved CI/CD pipelines and modular architecture cut engineering hours by 10 per week, enabling faster feature deployment and iteration cycles.
Lower Infrastructure Overhead
Resource optimization strategies reduced memory usage by 30%, improving system efficiency and reducing platform-scale operational costs.
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Hiren Dhaduk
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