Complete Observability of IoT Systems
Company Size
11-200
Region
- America
- Europe
Country
- Italy
- United States
Product
- Datadog IoT Agent
- Datadog Deployment Tracking
Tech Stack
- AWS IoT Core
- PostgreSQL
- RabbitMQ
- NVIDIA Jetson
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
- Processors & Edge Intelligence - Embedded & Edge Computers
Applicable Industries
- Cities & Municipalities
- Transportation
Applicable Functions
- Logistics & Transportation
- Maintenance
Use Cases
- Edge Computing & Edge Intelligence
- Real-Time Location System (RTLS)
- Vehicle Telematics
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
- System Integration
About The Customer
Automotus is a curb management company that leverages computer vision software running on edge devices to help cities, fleets, and businesses increase revenue while making streets less congested, more sustainable, and more equitable. The core of Automotus's business relies on IoT devices, and if those devices fail, their business grinds to a halt. It's therefore essential for Automotus to have total visibility into the health and performance of these devices, as well as the downstream applications and services that support them. Harris Lummis, CTO and Co-founder of Automotus, recognized this need and began the search for a comprehensive monitoring solution for Automotus's growing IoT system.
The Challenge
Automotus, a curb management company, was facing challenges with their IoT devices and scaling cloud resources. They needed a robust monitoring solution that would provide visibility into their IoT devices, as well as their scaling cloud resources. Their manual and reactive approach to monitoring was proving to be inefficient. They were unable to collect important hardware metrics, such as network throughput, I/O load, and memory, which meant they often missed the first signs of degraded device performance. If their devices stopped sending messages, they were forced to SSH into the system and sort through logs by hand, which was an extremely time-consuming process that required all hands on deck. They also didn't have visibility into the management and backend services that are crucial to their system, such as AWS IoT Core. These problems were compounded by the absence of a centralized platform to view and analyze this data in context. The resulting blind spots stymied their troubleshooting process, leaving them to cross their fingers that nothing would go wrong.
The Solution
Automotus decided to contact Trek10, a Datadog Gold tier partner and an AWS-focused service provider with specialized expertise in next generation infrastructure. It was through their conversations with Trek10 that Automotus first realized how Datadog's minimal overhead, low-maintenance approach to IoT monitoring could transform their engineering organization. Datadog's IoT Agent, together with IoT integrations with technologies such as AWS IoT Core, would allow them to view critical performance data from their NVIDIA Jetson-based devices alongside metrics, traces, and logs from their entire IoT ecosystem. Additionally, Datadog's unified platform would allow them to eliminate blind spots and streamline their troubleshooting process, freeing up their engineers to spend more time building and enhancing their core product. With the help of Trek10, Automotus was able to onboard and ramp up with Datadog in no time. Trek10 deployed the Datadog IoT Agent to Automotus’s devices and enabled the integrations for the AWS services they rely on, giving them unprecedented visibility into their entire system.
Operational Impact
Quantitative Benefit
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