This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Cloud-Native Weather Forecasting Platform Development for Agricultural Weather Modification

altoroslabs.com

Environmental Services

Agriculture

Information Technology

Challenges with Outdated Weather Data Analysis System

Legacy web application with outdated technology stack causing performance issues, inability to scale for European market expansion, unstructured data from 100+ weather stations and 6 source types requiring format standardization, and need for automated data extraction and high-precision visualization on synoptic charts

About the Client

Global provider of hail suppression and precipitation increase solutions, serving agricultural clients since 1976

Goals for Enhanced Weather Forecasting Platform

Develop scalable cloud-native architecture for European market expansion
Implement ETL pipeline for unstructured meteorological data transformation
Establish automated data synchronization with aggregation servers
Create 97% accurate temperature prediction algorithm
Enable synoptic chart visualization for multiple weather conditions

Core System Functionalities and Features

Multi-source ETL pipeline for meteorological data
Automated data update scheduler
JSON format standardization engine
High-precision temperature prediction algorithm
Synoptic chart generation for rainfall/wind visualization

Technology Stack Requirements

Amazon Web Services (AWS)

Microservices architecture

Amazon Elastic Beanstalk

ETL processing frameworks

JSON data format

QA testing protocols

External System Integrations

Weather station networks
Satellite data feeds
Radiosonde equipment
Lightning detection systems
Customer aggregation servers

System Quality Attributes

Horizontal scalability for European expansion
High system maintainability
Real-time data processing performance
Data security compliance
97% prediction accuracy SLA

Expected Business Impact of Modernized Weather Forecasting

Enables 97% accurate weather predictions with scalable AWS infrastructure, improves agricultural decision-making through synoptic visualization, reduces maintenance costs via microservices, and supports European market expansion with automated data pipelines handling 100+ weather stations and 4 chart types