EV Provider Reduces Dev Time by 50% with Cloud Optimization

Intelligent infrastructure for grid-free charging across thousands of locations

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100k+

Electronic vehicles charged.

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

Scaling a nationwide EV charging platform meant addressing performance, reliability, and data handling across unpredictable real-world conditions.

Infrastructure Downtime

Downtime in charging workflows or billing disrupted service continuity, requiring a platform engineered for near-perfect operational uptime.

GPS Inaccuracy

Fluctuating GPS data made it difficult for users to locate chargers accurately, reducing service reliability and complicating field coordination.

Data Volume Strain

Millions of real-time signals from distributed chargers pushed system limits, which demands a scalable architecture to maintain responsiveness.

Solution

We re-engineered the platform, improved system performance, enabled real-time insights, and simplified field operations at scale.

Centralized Charging Management

Developed a cloud-native platform to manage fleet operations, charge scheduling, and service dispatch with real-time oversight, backend control, and automated workflows.

Operational Telemetry Layer

Integrated continuous telemetry monitoring to track session activity, device health, energy trends, and field diagnostics, supporting proactive service response and uptime reliability.

Resilient Data Infrastructure

Built a resilient, event-driven system to ingest and analyze millions of telemetry signals from distributed chargers for seamless scaling and uninterrupted performance during surges.

Remote configuration

Built a centralized control layer to push updates, reconfigure charge behavior, monitor live system status, and troubleshoot deployed units without manual on-site support.

Business Impact

The solution improved engineering velocity, reduced infrastructure load, and supported reliable charging without service interruptions.

Widespread Market Adoption

The platform powered 100,000+ EV charging sessions with 99.9% uptime, enabling consistent performance across a growing nationwide deployment.

Accelerated Development Cycles

Modern system architecture reduced weekly development time by 10 hours, enabling faster feature rollout and improving team efficiency at scale.

Optimized Operational Costs

Intelligent resource management reduced infrastructure costs with 30% lower memory consumption, resulting in better performance and efficiency.

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