How to Use Swiggy App: We want to give you a walkthrough of our key architecture concepts, design trends, high-level app functionality, scalability, real-time logs, analytics, and device stability regarding the well-known Swiggy app in this article.
Swiggy, established in 2014, is India’s largest and most admired online food ordering and distribution site.
Swiggy is headquartered in Bangalore, India, with operations in 100 Indian cities as of March 2019. Swiggy moved into general merchandise deliveries at the beginning of 2019 under the brand Swiggy Shop.
In September 2019, Swiggy unveiled Swiggy Go, an instant pickup and drop app. The service is used to provide company customers and retail clients with a range of products, including laundry and paper or parcel deliveries.
So don’t you want to know what were the challenges involved and how finally an app like Swiggy was built?
The design principles
Bearing in mind that codebase specifications are of high consistency, code reusability, futuristic approach (less rework), quicker rollouts, A/B checking, plug-play-unplug use cases, unit testing, agility to incorporate any third-party plugins, etc.,
We have set down the following guidelines to adhere to when designing this app (Like how celestial bodies revolve around the Sun, our codebase revolves around these principles).
1. Keeping it simple and stupid (KISS)
The mobile application loop needs to run in the background for a longer period (on average 4-5 hours per session) to ensure continuous synchronization with the servers and requires details such as monitoring location information of the distribution partners (needed to allocate journeys, real-time tracking of an order, payment based on distance traveled, etc.)
Order data (order status, item info, restaurant or shop info, These components also communicate with computer tools such as GPS, network, BlueTooth, and other location-tracking sensors, proximity detection, estimation of distance traveled, identification of operation, etc.
It is not successful to execute these long-running/heavy operations on a single thread (UI/JS thread) and can become a bottleneck for UI operations that produce a jittery/laggy experience in the long run.
They chose to create only UI components in React native and long-running, background-intensive, data storage components in Native (Android/iOS) to keep it simple.
2. Concern Separations – How to Use Swiggy App
In serving the data required to complete each distribution workflow, the framework is feature-rich and complex.
To name a few topics, which include managing user communications, business logic, data sync and storage, network transfers, data instrumentation such as user movement, touchpoints, real-time health metrics, etc.
Instead of sprinkling these issues around the code base, which becomes a nightmare for developers to change/clean-up/revamp the code relevant to some problem, we isolated these concerns either by building a module or exposing a system such that dependent modules would disregard the specifics of implementation and be expandable.
3. The Modular and the DRY(Do not repeat yourself)
At Swiggy, they also work on many projects on which modules that are designed can be reused through several applications (Consumer, Delivery, Vendor, Daily, etc.).
Repeating the same code also includes the period of growth, the QA cycle, the control of maintenance and stability, etc.
They manufacture components (no matter how small they are) as agnostic to some particular application to reduce these loops and fast track output launches.
So, based on this idea, they agreed to create modules below in which a number of them are shared through other applications.
4. Control Inversion – How to Use Swiggy App
They designed smaller modules with clear obligations and division of interests, according to the aforementioned standards.
But the relationship between these elements, dependency resolution, and the flow of control will be tedious as they construct more modules in the future. So they depended on this theory, similar to the principle of Hollywood:
“Do not call us, we’re going to call you.”
Centered on this principle, to minimize the difficulty of controlling the power, the control flow is handled by the external components rather than the caller.
They integrated Dagger2 for dependency injection to decouple the dependency resolution from the callers and also to scope components better dependent on duty state, app status, etc.
How to use Swiggy App – High-Level Design
They set out the blueprint of the App based on the specifications and the above principles before writing any piece of code. The high-level architecture and the main components involved were then listed out followed by the development.
Overall, we spoke about how they planned and discussed major technically demanding facets of their current distribution application.
While some of these software choices which look like React Native to Native delivery, it was done to exploit the key strengths and offerings of each platform.
Working through the pressure points of each system allowed them to get the best out of both worlds.
This is now clearly consistent with the core innovation values (any framework/technology selection requirements should be based on current and near-future market needs and customer base). I hope you’ve got a thing or two to gain from this post.
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