Insights From Solinas
By Harisabareesh, Team Solinas
In sanitation and water management, digitizing pipelines is becoming essential for timely maintenance, efficient operations, and long-term sustainability. But digitization cannot be effective if it is tied to a specific location. For pipeline health monitoring and defect analysis to create real impact, access must be seamless, no matter where the user is.
At Solinas, we aim to make pipeline digitization location agnostic. Whether a customer is operating in a city, a small town, or across regions, the experience should remain smooth, reliable, and scalable.
Building Systems That Work Anywhere
To offer this kind of access, the technology behind our services must:
- Track and manage customer usage in real time
- Scale based on demand
- Ensure fair and secure access for every customer
Customers purchase credits to run defect analyses, and these credits need to be monitored and managed efficiently as the service scales.
Why Solinas Uses KrakenD
To make this possible, we have integrated KrakenD as our API gateway. KrakenD helps us control and track API usage in real time, ensuring that each customer can access the service based on the credits they have purchased. It simplifies how our APIs are exposed, protects backend systems, and allows seamless customer interactions.
KrakenD’s rate limiting allows us to:
- Monitor how many defect analyses each customer performs
- Restrict or manage access based on purchased credits
- Scale the system efficiently as more users join
For Solinas, KrakenD is a practical enabler that helps deliver a consistent, location-agnostic experience.
What This Means for Our Customers
When customers use Swasth AI, they benefit from a system that is:
- Fair: Customers pay for what they use, with credits tracked accurately in real time.
- Reliable: Whether a customer operates in one city or across multiple locations, the system remains smooth and responsive.
- Scalable: The platform is built to grow, and tools like KrakenD support that growth without compromising performance.
