Building an Observability Platform for 30,000+ Charging Stations
About the Customer
This US-based EV charging company was founded by eight of the world’s leading automakers to create the largest non-Tesla EV charging network in North America.
Their goal: deploy over 30,000 stations by 2030. To achieve this, they needed real-time observability into charger performance, usage data, and operational metrics, at scale.
The Challenge
The company faced three main obstacles:
Interoperability complexity
across 62 EV models and 50+ charger manufacturers
Black box operations
with limited visibility into what happens during charging sessions
Data overload
high-frequency data from thousands of stations that had to be centralized
The Solution
NaNLABS embedded alongside the customer’s engineering team to co-develop a scalable platform with real-time streaming, automated data workflows, and actionable dashboards.
Cloud Data Architecture
Designed an event-driven architecture to ingest, normalize, and store IoT and POS data
Implemented 15-minute streaming intervals with fallback sync for APIs with slower refresh cycles
Assessed tool viability and worked with third-party vendors to optimize for scale
Data Engineering & Automation
Automated extraction and normalization of charging session data across disparate systems
Enabled near-real-time alerts to detect anomalies and performance drops
Eliminated Excel-based workflows with centralized pipelines and persistent data models
Visualization & BI
Built interactive dashboards for key KPIs and embedded them into the company’s frontend
Enabled self-service editing and filtering of metrics without engineering help
Transitioned manual charting into dynamic reporting infrastructure
Full-Stack Development
Collaborated on system integrations and embedded NaNLABS engineers into sprint cycles
Adapted front- and backend workflows to new data inputs and infrastructure
Contributed to both lab-based test environments and live production stations
Observability Enablement
Centralized fragmented session data into a unified source of truth
Surfaced key session diagnostics to reduce support complexity and improve uptime
Strategic Team Augmentation
Delivered quick onboarding in under 2 sprints
Provided technical pushback and architecture trade-off analysis to ensure long-term scalability
The Results
Centralized session data
enabled consistent diagnostics across 4 pilot stations
Reduced manual workflows
saving hours per week across ops and engineering
Real-time dashboards
improved KPI visibility and reaction time
Faster debugging
and decision-making through unified observability
Improved productivity
by consolidating siloed data into a single, queryable view
Platform ready to scale
with 30,000+ stations planned by 2030
“The quality of each individual’s work and how they collaborate stands out. They really want to understand what they’re building, ask questions, and push back, they won’t just go with what I said.”
CTO, Nationwide EV Charging Network.
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