BETTING APP
Intuitive app with pre match and live betting
business need
The client reached us to enhance his existing team with several strong mobile developers in order to speed up the process of development and increase overall product quality.
The product is a SaaS for sports betting applications. The client has more than 10 different betting apps, that were originally built from one codebase, but at the moment differ a lot and in most cases could be treated as separate apps.
When the feature is done, it has to be distributed across all apps, which increases the complexity of development taking into account that the code was quite different for some modules.
Overall code quality and architecture were poor and one of our goals was to improve these two aspects.
1Initial Information
2Data analysis and clarification
Another point was to clarify requirements specified in Jira tasks as some of them had very limited descriptions.
3Analysis outcomes
We decide to implement “Clean Architecture” in new modules and move the entire project to it. Clean Architecture allows keeping code organized and easy to work with. Refactoring was done to remove useless pieces of code and optimize overall app performance and stability.
Key Features
Pre match and live betting
Instant update
SaaS for Sports Industry
Development Process
our journey with the betting applicaiton
Beginning
As the application was launched but still was in the early stages with just minimal features, we were able to make significant changes to the architectural approach and implemented a Clean Architecture into the project. That required some rework, but as a result, the project became way more stable and easy to work with.
Solution as a service
What is Clean Architecture
- Independent of Frameworks.
- Testable.
- Independent of UI.
- Independent of storage method.
- Independent of any external dependency.
The main idea of this architecture approach is that the app must be build based on Dependency Inversion. In the context of architecture, it means that we must decouple and group our objects based on their logical purpose. Also, the dependency has its flow – from more abstract to less abstract; from data to UI implementation. It is pure logic: We have data -> we want to use it -> we want to organize and/or analyze it -> we want to view it.
App features
Each user can make a full, partial and auto cash out of all winning bets.
Results
In 1 year we reworked the product to follow Clean Architecture principles, refactored the code, and greatly improved the overall stability of the solution. GRT extended the functionality of the application by adding various features, basically tripling the amount of functionality the product had before.
Another very important achievement was simplifying the code management of the SaaS platform.
All the above allowed the client to obtain several great contracts and they continue to grow the business using the renewed service.
