Groundwater Analysis Application Development

The Story

The client had a Python-based scientific script for calculating groundwater levels but needed a production-grade, cloud-native application capable of handling heavy computations securely and efficiently. They partnered with FiftyFive Technologies to transform the script into a scalable service with optimized performance, automated data workflows, and authenticated access. Our role was to provide custom software development, backend engineering, and cloud deployment, ensuring the solution could support continuous scientific analysis without resource bottlenecks. The engagement focused on building a robust architecture that improved speed, optimized compute usage, and delivered reliable results for end users.

The client is a scientific innovator in Sweden developing groundwater-level analysis tools using sedimentation data, requiring a reliable, scalable, and secure digital system to deliver accurate environmental insights to authenticated users.

Abhay Mathur

Head of Mobile Development

The challenge

• > Enforcing user authentication before executing groundwater-level calculations.

• > Managing high-load Python computations without exhausting runtime resources.

• > Preventing API Gateway timeouts caused by long-running execution cycles.

• > Automating cleanup of outdated sedimentation result files from storage.

• > Ensuring scalable compute capacity during peak calculation requests.

The solution

• > Deployed the Python groundwater analysis script on AWS Lambda for event-driven, auto-scaling execution.

• > Implemented an API service using AWS Lambda to manage authentication, request routing, and execution triggers.

• > Optimized the Python code to reduce execution time and computation overhead.

• > Configured Lambda concurrency scaling to handle variable workloads efficiently.

• > Used a scheduled cron job (EventBridge) to automatically delete outdated groundwater-level data.

• > Added monitoring and performance logging through CloudWatch for ongoing visibility.

The outcome

The optimized architecture reduced groundwater-level processing time to 2–3 minutes, enabling faster environmental assessment and improved decision-making for end users. Automated resource scaling lowered compute overhead, while secure authentication ensured controlled access. Scheduled cleanup eliminated unnecessary storage costs, improving long-term system efficiency. The client now operates a stable, production-grade application that transforms scientific logic into a reliable digital service, demonstrating how FiftyFive’s engineering expertise adds measurable operational value and accelerates scientific workflows.