Case Study
Groundwater Level Analysis
A Python-based web app efficiently calculates groundwater levels, displaying sediment layers and generating reports, optimized for performance and scalability.
A Python-based web app efficiently calculates groundwater levels, displaying sediment layers and generating reports, optimized for performance and scalability.
The client sought to create an efficient, user-friendly application to calculate groundwater levels based on sediment layers in a given area. Their goal was to simplify the process, reduce time, and offer accurate results using their scientific calculation script.
Our client is a scientific innovator in Sweden, specializing in groundwater analysis using sedimentation layers. They developed a Python-based script to accurately estimate water levels for efficient environmental assessment.
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Abhay Mathur
Head of Mobile Development
> Ensuring the service only worked for authenticated users.
> Managing heavy computation loads for fast calculations without draining resources.
> Overcoming issues where the API gateway closed before delivering results.
> Handling the timely removal of outdated data from storage.
To address these challenges, a three-tiered service architecture was developed. The Python script for groundwater level calculations was deployed on AWS Lambda for scalability and resource efficiency. An API service on AWS Lambda managed user requests, authentication, and triggered the script. To optimize performance, the script was fine-tuned, and Lambda functions were configured to auto-scale. Additionally, a cron scheduler was implemented to regularly delete outdated results from storage.
The solution now delivers groundwater level results within 2-3 minutes, displaying sediment layers with respective values. Users can easily identify and analyze water levels in specific areas. They can also download comprehensive reports, including charts and graphs, for deeper analysis and visualization of the results.
300+
IT Professionals
40+
Tech Domains
1100+
Delivered Projects
91%
Client Retention
5 Hours
Response Time
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