This is a repository for a C#/Angular/Android solution, that was developed during the creation of a masters thesis.

Master’s thesis solution shows, how to create a cloud solution, which is economically more favorable, then a locally deployed solution inside the company’s local computer network. The solution is developed for lorry management, because logistical systems need a more economically favorable, different load resistant and scalable cloud solution.

The solution is deployed on Microsoft Azure and consists of different type of resources:

• Azure service fabric - the base for the business functionality, that is ran on microservices;
• 4 microservices that are responsible for a specific domain functionality (managing GPS locations etc.);
• Service bus - used as an communication layer between parts of the system;
• Neo4j high availability cluster - provides the data layer functionality;
• Angular web application - used to manage lorry driver actions;
• Android mobile application - used by lorry drivers to send the current GPS locations;
• Azure active directory - stores users, that can authenticate in the system.

582413 requests were created during the 17 minute long performance test. The test results show, how at 23:15:40 cloud autoscaling functionality helps to handle the huge amount requests.

The growth of incoming requests count was shrinking when multiple microservices were handling the incoming messages.

The average response time was 159 ms and the throughput was 477.72 requests per second.

Web application:

Mobile application: