Summary
In this technical webinar, the team at Integration Plumbers dives deep into managing Electric Vehicle (EV) fleets at scale. Discover how to build a fully self-contained Rivian API Simulator in Python to accelerate development, test edge cases, and validate OpenTelemetry (OTel) pipelines without touching production systems.
Whether you’re managing a fleet of 20 or 20,000, this session provides a roadmap for modern, vendor-neutral observability in the evolving world of electronic vehicles.
What You’ll Learn:
The Power of Simulators: Why decoupling from external dependencies like the Rivian API is critical for rapid development.
Python Architecture: A deep dive into the dual-threaded Python simulation code using Flask and SQLite.
Simulation vs. Mocking: Why behavior-based simulators are superior to standard mocks for catching integration bugs.
OpenTelemetry for EV Fleets: How to leverage OTel’s three pillars (Traces, Metrics, and Logs) for holistic fleet management.
Scaling with Docker & Kubernetes: Best practices for deploying your monitoring stack from a laptop to a production cluster.
Real-World Scenarios: Testing low-battery alerts, geofence violations, and high-frequency GPS data flows.
Video Chapters:
00:00 – Introduction & Meet the Team
03:02 – Overview of Python in the Project
06:42 – The IP Rivian API Simulator Architecture
11:05 – Deep Dive: Python Simulation Code
15:18 – GraphQL API Endpoints & Mock Data
18:45 – Benefits of Simulating a Target API
21:05 – Simulation Testing in Practice
24:45 – The EV Fleet Monitoring Challenge
27:26 – OpenTelemetry for EV Fleet Monitoring
32:31 – Testing the OTel Pipeline with Simulators
34:17 – Engineering Review & Design Tradeoffs
39:43 – Summary & Key Takeaways
41:24 – Q&A & Contact Information
Resources mentioned in this video:
GitHub Repository: https://github.com/IntegrationPlumbers/ip-rivian-api-simulator
Contact Integration Plumbers: https://integrationplumbers.io/contact/
OpenTelemetry Documentation: https://opentelemetry.io/
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