Prototypes impress and pilots succeed, but scaling to thousands of devices across cities exposes what the lab never tested. Mandar Halbhavi of Jio shares five engineering lessons for building IoT and AIoT products that last in the real world.
An IoT product that performs flawlessly in the laboratory may still fail when deployed across a city or nationwide. The difference lies in how well it has been engineered for scalability, reliability, and long-term serviceability.
Why pilots succeed and scale-ups struggle
Developing a product to solve a specific problem is relatively straightforward. Prototypes usually perform well and pilot deployments are often successful because experienced engineers closely monitor installations, resolve issues immediately, and intervene manually when necessary.
The situation changes once deployments move beyond a handful of installations. As products are rolled out across cities or states, they operate in environments that are far less predictable than laboratory conditions. Network availability varies by location, power quality differs across regions, environmental conditions become harsher, and installation and maintenance teams may have different levels of technical expertise.
A product that performs flawlessly in the laboratory may therefore struggle in the field, not because of poor engineering but because real-world operating conditions were never considered during its design. Scalability depends not only on whether a product functions correctly, but also on whether it can operate reliably under diverse conditions while remaining easy to deploy, maintain, and support.
Building scalability into product design
Scalability is best treated as a design objective rather than a post-deployment requirement. Alongside hardware and software development, engineers need to evaluate how products will perform in different environments, how they will be deployed in the field, and how they will be maintained throughout their operational life.
Several practical factors influence large-scale deployments, including environmental conditions, installation procedures, manufacturing processes, maintenance requirements, and diagnostic capabilities. Ignoring these considerations during development often results in products that work well during demonstrations but become difficult to operate once deployed in large numbers.
Serviceability is particularly important. If technicians cannot commission a device, retrieve diagnostic logs, or resolve issues quickly during installation, maintaining thousands of deployed units becomes increasingly difficult. Designing products around field-service requirements can simplify deployment and reduce long-term maintenance costs.
| Routine activities such as commissioning, diagnostics, troubleshooting, and software updates are most effective when they can be performed without support from development teams. Built-in diagnostic capabilities can simplify field maintenance. Instead of relying on specialised debugging hardware, products can use integrated communication technologies such as Bluetooth to allow technicians to connect using a smartphone, retrieve diagnostic logs, and upload them directly to cloud-based support systems. This approach enables engineering teams to analyse field issues remotely while reducing the time required to identify and resolve faults. |
Five engineering lessons for large-scale deployment
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