The Challenge

Gett Taxi wanted to explore a deeper integration of their technical ecosystem that addressed the needs of corporate clients, especially key strategic clients.

Specifically they sought to incorporate these use cases for an improved internal platform:

  • Advanced BI and Analytics
  • Easy Pricing/Tariff Management
  • Corporate Payment Methods
  • Enabling seamless customer support

A joint market study was carried out with the help of Sphere Partners and Gett Taxi team. Using the findings from the study, Sphere Team developed a successful prototype preceded by the foundational work that included creating a flexible development framework, drawing up technical requirements from teh business use cases, as well as a detailed application architecture.

How It Was Solved

The Prototype was at it’s core, designed to be very flexible. It addressed the needs of the corporate clients and additionally provided the capability to add more functionality using the system and user settings. Sphere designed a modular architecture for the application which allowed for any of the  key components to be extended by its custom logic or replaced with one that is more suitable for the client’s requirements without impacting existing clients due to a well-established and agreed upon process.

  • For the internal platform entities and external interactions with the payment gateways, vendors and other third-party services, Sphere implemented varying  levels of logging using Ruby gem  (audited type), time-series storage ClickHouse and some DBMS Postgres capabilities
  • To provide optimum performance  during uneven load increases while running multiple background tasks, Sphere used:

    • AWS metrics and integration with NewRelic 
    • The configuration of the puma web server was optimized, as well as the grouping of background processes in Sidekiq
    • Separate processes and queues were selected, limits were set on the parallel execution of tasks and consumed resources

The Results

Four primary benefits were created from the functional prototype including:

Self-sufficiency and high levels of customer satisfaction

Gett Taxi now integrates new strategic clients quickly and seamlessly into their platform which is customised to clients business processes and workflows


Sphere set up a well-established process for analyzing  incidents related to performance:

1) Identifying problem areas, optimizing and allows for support teams to promptly deliver fixes to the production
2) It also demonstrates  99.9% uptime, average server response time is approximately 200ms


The application architecture is aligned to the business needs and forecast thus giving Gett Taxi the capability to extensively scale both vertically and horizontally 

Log analysis

A comprehensive logging set of all users and system actions:
Customer service teams can track any order status or other entities, providing fast resolution for an disputes with the suppliers of the external services