How LANDAUER achieved Global Search Capabilities and 60% Faster Deployment

 Landauer achieved global search capability through application modernization with AWS Lambda and AWS API Gateway

About Landauer

LANDAUER is the leading global provider of technical and analytical services to determine occupational and environmental radiation exposure and the leading domestic provider of outsourced medical physics services.


The company provides dosimetry services to about 1.8 million individuals globally and is used by 78% of United States hospitals. The company offers tools and support for organizations with potential exposure to ionizing radiation, helping them achieve their radiation safety goals.


LANDAUER’s innovations in radiation safety continue to shape the industry in dosimetry and medical physics.


The Challenge

User-Friendly Radiation Management Portal

LANDAUER offers a wide range of dosimetry services and readers, as well as reporting tools for both routine and special monitoring applications. The company wanted to build a user-friendly radiation management portal that would save time while making it easy to perform account management tasks


Modernization of myLDR Platform

They sought to update the myLDR platform, which assists users in meeting their dosimetry needs through periodic monitoring. They sought an advanced and easy-to-implement solution, including the ability to perform specialized calculations for standard dose calculation protocols to improve radiation dose estimation accuracy.


Sub-Millisecond Latency Database Search

LANDAUER strived for a solution that would enable its users to search databases with sub-millisecond latency. The company’s existing web technology was struggling under the load of such rapid searches, and improving performance would mean faster responses for users.


Our Goals

Before LANDAUER implemented the AntStack solution, they used dotNet services running on huge Windows EC2 instances to provide search functionality. After implementing serverless with AntStack, they wanted to avoid setting up another EC2 cluster for their additional needs; instead, they wanted the flexibility of shifting from managing large clusters to lambda functions.




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