
Case Study - Implementing an Isolated SaaS with AWS
Date Published
Reading time
1 minThe European market leader in the on-demand mobile transportation, delivery, and logistics industry implemented an isolated SaaS with a reporting interface. This project provided statistics on KPIs, handled 100,000 orders per day, and achieved 99.8% uptime.

Gett is the European market leader in the on-demand mobile transportation, delivery, and logistics industry.Gett is available in over 60 cities worldwide including NYC, Moscow, and London. In London, more than half of all black cabs run on Gett. Consumers benefit from pre-booking features without any surge pricing. Corporate clients benefit by reducing costs while ensuring safe, legal, and professional transportation. Gett’s current online system allows them to accept and process delivery orders from their vendor partners. However, Gett needed to develop an API-based service that accepts orders from their partner’s disparate systems and places them into the Gett system. In addition, this service was required to be implemented as an isolated SaaS with a reporting interface, provide statistics on KPIs, handle 100,000 orders per day, and have a 99.8% uptime. Sphere implemented an isolated SaaS with AWS that utilized the Go open source programming language created by Google. RabbitMQ was implemented for its reliable data delivery and asynchronous web request processing. MongoDB was chosen as the high-performance data storage backend in order to accommodate the variety of APIs and data structures from different Gett vendor partners. In addition, the following Gett libraries were used: httpsrouter, mgo, negroni, oauth2, mgo session, graceful, rest gate, napping, and amqp.
TECHNOLOGY SOLUTIONS
SaaS with AWS RabbitMQ MongoDB Looking for a team of skilled developers to help develop your product? Find our
custom software solutions
here.
Part of
More to read

Generative AI integration explained: the patterns, architecture, security controls and rollout steps for adding GenAI to the systems your business already runs.

Build a software development project plan that holds up: a section-by-section template with milestones, a RACI matrix, risk register and definition of done.

Custom AI development explained: when it beats off-the-shelf AI, what a build involves, and how in-house and outsourced teams compare on speed and risk.

Custom software development services explained: what each phase includes, when custom beats SaaS, how engagement models differ and how to vet a partner.