RealiseMe is a web-based recruiting platform that allows schools and teachers of Great Britain to find matches for their positions. It aims to enable supply teachers to be invited for supply booking skipping recruiting agencies.

The service aimed at tracking the aging conditions and routes of wine bottles from the winery cellar to the end consumer. This service allows customers to monitor the condition of wine on the whole route and have analytic data like temperature on the graphs. The task was to modernize the already existing website and extend its functionality. The website is more like an admin panel or personal cabinet for the end-users (wine producers) who need a robust IoT solution to monitor the changes in the environmental conditions - wine cellars and wine packages. The developed website allows users to monitor temperature, humidity, brightness, and other changes that may affect the wine condition. The data is displayed in the form of graphics and is gathered with the IoT devices provided by the customer to the end-users. Our developers ensured that every time some change that could affect the wine happens, the user receives an alert that is sent to their email.

The main idea is to provide the ability for clients to integrate with our API and integrate with theirs. More than 7 micro-services, each dedicated to do its job. One service - External API was used to expose to the outside world our API that uses all the latest standards. The service had its ACL that gave us the ability to provide flexible access to any specific resources for any client on our side. Feed Manager was loading data from our database based on different criteria, converting data into a client's specific format and pushing either to our S3 bucket or to client's FTP. Another service - Supply Manager was used to integrate with clients' API and import their data into our database (ETL). Demand Manager was used to push data to clients databases when a change on our side occurs. Validation Service was used to validate incoming and outgoing data in all parts of our application. Datamart Service was used to fetch data different sources, group them and turn into usable facts that later were used for user analytics. And a bunch of other micro-services for uploading data to S3 and providing links to files from on our side; Integration that didn't fit into supply/demand services; ETL services that were hooked to our database.

The application is a booking platform for corporate housing built as a set of microservices on the back-end, as a Monorepo on the front-end, and using various third-party integrations. Within this project we re-created a legacy multi-step part of the application from scratch which involved a lot of both client-side and server-side business logic. After this initial step we worked across various parts of application to implement new features and extend existing functionality. Among the features we worked on are dynamic generation and embedded signing of PDF documents, search functionality for the internal admin webapp, overview page for landlords with apartment views chart and aggregated statistics.