Design the event instrumentation for Charging Network at scale

Problem Statement Description

Product context: Tesla is an electric vehicle, energy, and software company; its products include EVs, charging, vehicle software, Autopilot/FSD features, energy storage, and solar products.

Design the event instrumentation for Tesla’s Charging Network at scale. The focus is not to redesign charging itself, but to define how Tesla should capture, structure, transmit, validate, and use events across vehicles, chargers, the mobile app, backend services, payments, energy systems, and operations tooling.

Consider the end-to-end charging journey for safety-conscious families: planning a route, selecting a charger, arriving at a site, authenticating, plugging in, starting a session, monitoring progress, handling failures or delays, paying, unplugging, and continuing the trip. The instrumentation must help Tesla understand customer experience, network reliability, charger utilization, safety issues, operational incidents, and business performance across a large and geographically distributed infrastructure.

This is a Technical PM design problem. You should clarify requirements, define key event domains, think through data contracts and APIs, account for offline and low-connectivity scenarios, and balance product analytics needs with reliability, privacy, security, and operational scalability.

The instrumentation design should consider:

- Core user and system events across vehicle, charger, app, payments, routing, and backend services

- Event schema design, identifiers, timestamps, session linking, and source-of-truth decisions

- Reliability requirements for event delivery, deduplication, ordering, retries, and offline buffering

- Data privacy, security, consent, retention, and access-control expectations

- Operational observability for charger faults, failed sessions, queueing, outages, safety incidents, and maintenance workflows

- Metrics enabled by the instrumentation, including session success, utilization, wait time, failure rate, charging speed, and customer-impact severity

- Rollout strategy across hardware versions, software versions, regions, and partner or third-party charging integrations

- Trade-offs between instrumentation depth, latency, cost, battery/network usage, and engineering complexity

The goal is to describe a scalable instrumentation approach that would allow Tesla teams to monitor Charging Network health, diagnose customer and infrastructure issues, support safe and reliable charging experiences, and make data-informed product and operational decisions without compromising user trust or system performance.