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Industry Prop-Tech
Services Online Resume Builder

Tech Stack

ReactJS

Bootstrap

Azure

NodeJS

ExpressJS

MySql

Challenge

Building a robust GIS web application with a serverless framework posed several challenges, which we tackled head-on. Here are some of the key hurdles we faced during the project:

  1. Scalability: Ensuring the application could handle a large volume of geospatial data and user requests without compromising performance.
  2. Complexity: Integrating various AWS services, including Lambda, Cognito, and CloudFront, and configuring them to work seamlessly together within the serverless architecture.
  3. Third-Party Integration: Incorporating third-party libraries, such as Deck.gl for advanced data visualization and Mapbox for interactive mapping, while maintaining compatibility and optimizing performance.

Solution

To overcome these challenges and deliver an exceptional GIS web application, we devised a comprehensive solution that leveraged the power of serverless architecture and AWS services. Here's an overview of our approach:

  1. Serverless Architecture: We opted for a serverless framework to ensure scalability, cost-effectiveness, and ease of maintenance. By utilizing AWS Lambda, Cognito, and CloudFront, we achieved efficient deployment, auto-scaling, and reduced operational overhead.
  2. AWS Services Integration: We seamlessly integrated Lambda functions for executing backend tasks, Cognito for secure user authentication and authorization, and CloudFront for content delivery and caching. This integration created a robust and reliable foundation for our application.
  3. Third-Party Libraries: We harnessed the power of Deck.gl and Mapbox to enhance the GIS capabilities of our application. Deck.gl allowed us to create stunning visualizations of geospatial data, while Mapbox provided advanced mapping functionalities, including interactive maps and geocoding services.

Result

The successful completion of our GIS-based web application project has yielded remarkable results, revolutionizing geospatial analysis. Here are some of the outstanding outcomes we achieved:

  1. Scalable Performance: With the serverless architecture and AWS services in place, our application can effortlessly handle large datasets and a high volume of user requests while maintaining excellent performance.
  2. Seamless User Experience: The integration of third-party libraries, including Deck.gl and Mapbox, has significantly enhanced the user experience by offering visually stunning and interactive geospatial visualizations and maps.
  3. Cost-Effectiveness: By utilizing a serverless framework and AWS services, we have achieved cost optimization, as resources are provisioned on-demand, and we only pay for actual usage.
  4. Easy Maintenance: The serverless architecture, combined with AWS services, simplifies maintenance tasks by eliminating the need for server management and providing automatic scalability.
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