GeoSpatial App Reduces Its Data Processing Time & EC2 by 90%

The Company builds and provides the most advanced maps of India, including its revolutionary RealView service, which captures, analyses, and publishes the world in 360-degree photo-realistic clarity, the best GPS-based IoT (“Internet of Things”) devices optimized for in-vehicle and personal navigation and tracking, market-leading location-based SaaS (“Software as a Service”) for enterprise and professional use, and popular and delightful hyper-local consumer mobile and web apps, including India’s very first interactive online mapping portal, and NaviMaps, the best offline GPS navigation app for India.

The client processed backend workloads on an infrastructure comprising seven physical servers and multiple storage and networks in its on-premise data center. The maintenance of the application and the classification, analysis, and processing of its large amount of geospatial data through the existing on-premise infrastructure required 60-75 days, plus a considerable amount of valuable technical resources of the company. The client approached Rapyder for a solution to this problem to reduce the time involved in this process and the cost of valuable technical resources required for this job.

The Cloud Consultants of Rapyder did extensive research on the geospatial application of the client to understand its functioning and design the right cloud platform and configuration that could support the seamless functioning of the app and expedite its maintenance and data classification, analysis, and processing, without compromising on its performance. The Consultants of Rapyder proposed to their client to migrate their legacy systems to the AWS Cloud Platform because it would reduce their application’s operational, maintenance, and data processing costs and help it achieve agility and scalability. The client approved the solution, and all their legacy systems were migrated to AWS Cloud Platform within a pre-determined deadline set by Rapyder.

The Cloud Consultants of Rapyder also proposed their AWS Spot Management Service to their client to help them save even further on their AWS Costs.

Within a few months of the successful migration of the client’s legacy systems to the AWS Cloud, the client saw a significant decline in the operational, maintenance costs.

• The proposed solution by Rapyder has reduced our application’s operational and maintenance costs and reduced our app data processing time from 60-75 days to under 18 hours. This has increased our GTM (GO TO Market) rate, and we are glad we can now scale our app up and down whenever required. The AWS spot instance management service of Rapyder is also helping us to save up to 50-90% of our EC2 costs. AWS is fantastic, as are the cloud consulting and monitoring services of Rapyder.
  – says the Chief Technology Officer (CTO) of the client.