The goal of this project was to create a self-hosted Infrastructure-as-a-Service (IaaS) solution for remote structural health monitoring. By leveraging Docker, I was able to containerize the entire application stack, making deployment and management significantly easier. The system included a TCP socket application to handle real-time data streaming from sensors and a MySQL database to store the incoming data for further analysis.
One of the key benefits of using Docker in this project was its ability to easily scale the monitoring system. As new sensors were added to the network, additional containers could be deployed without needing to overhaul the entire infrastructure. This flexibility allowed the system to grow organically as the monitoring needs expanded. Docker’s containerization also ensured that the monitoring system was portable, meaning it could be deployed across different environments, including on-premises and cloud infrastructures.
The self-hosted nature of the system gave users more control over their data and configurations, which is particularly important for organizations looking to reduce dependency on third-party services. Additionally, this approach is cost-effective for smaller-scale deployments or localized monitoring systems, making it a versatile solution for infrastructure monitoring across various sectors.
