Planning & Strategy

We designed and maintained the technological strategy/roadmap of the project. The work on the system was split into stages (e.g. moving Machine Learning parts to separate clusters, splitting into microservices, adding streaming etc.)

Architecture & Microservices

The system was divided into two clusters (business and computational). Machine Learning parts moved out of the business core into 3 separate microservices. Simple, easily maintainable and extremely robust. Analytical service was introduced in later stages as an independent project with its own back-end and front-end.

External API

Quality customer-facing APIs are extremely important since the primary user is another computer system consuming the API. We did complete refactoring of external API and created a beautiful intuitive and fully documented RESTFul API. Documentation was created, including the specifications themselves and developers documentation and guides.

Internal API

All services communicate via simple and fully documented internal APIs, including specifications and gRPC prototypes for each component (Business Component, 3 Machine Learning Services, Analytical Service).

3 Development Streams:

• Primary high-availability API;
• Machine learning microservices;
• A standalone Analytical Service with real-time data analysis & reporting.

Development of Product & Project

Documentation including detailed user manuals

Release management and support operations for client testing environment

Front-end development

Customer portal for managing and tweaking the system, analysis and real-time monitoring.

Back-end development

Including microservices, gRPC and REST APIs, webhooks, audio streaming & SDK for it, etc.

We designed and developed automated Quality Assurance using Postman (for creating a stable test automation environment, faster scaling and business expenses optimisation).