Virtual CTO, Nearshore Software Development for Nodejs and IOT
Permian Controls had a legacy system that supported a large number of revenue generating customers. The system while functional was prone to security breaches and was difficult to maintain and integrate to new generation apps. They needed help to migrate the solution to a more modern, stable, and resilient codebase, without disrupting the customer base. We took the challenge and went far beyond the expected results…
We built a dedicated team consisting of an architect, two senior developers with DevOps expertise and a project manager. Given the age of the existing solution, there were few skilled developers available who understood the requirements of the backend, the solution and the modern applications to communicate with – so we got them. We migrated the solution completely from an outdated codebase into a modern, maintainable and resilient solution, with no downtime, while simultaneously supporting the business’ customer expansion. As the business grew adding new customers, the custom PLC programs we created supported the additional needs. We also created live dashboards using LogicMonitor for both live and historical queries/reports as well as alarms and compliance management. Finally, our design had the additional benefit of significantly reducing the computing costs - as we moved the solution from an on-premise implementation to the cloud-, reducing the all in cost by 90%, even as the cluster tripled in size.
Azumo maintained a number of VisualBasic daemons that listened to PLCs in the field and captured data from them to store on a SQL Server database. We also maintained an ASP site that allowed the data to be queried and reports to be created. The site also triggered alarms for Oil Rig personnel whenever appropriate. In parallel, Azumo progressively replaced the daemons and frontend. We created one-to-one (1:1) daemon replacements using Nodejs and MongoDB. This approach enabled us to run the daemon replacements as microservices running on Linux and set up auto scaling clusters in AWS.