Unified Media & Payment Platform

Overview

At Techling, we have developed an inclusive platform that fills the void between social networking integration, payment gateway, and automated QA routines, all in a powerful Python-oriented environment. 

Our solution simplifies the development of mobile and cloud-native applications by combining microservices’ flexibility, automated testing’s accuracy, and Kubernetes orchestration’s scalability.

If you’re developing a fintech app with Instagram login and Stripe payments or launching a marketplace that relies on Facebook marketing and PayPal transactions, Techling integrates all those moving pieces into one seamless, high-performing unit.

Challenges in the Digital Ecosystem

Many businesses hit a roadblock in their attempts to integrate fundamental yet complex aspects of a product, such as social media, payments, and QA. These include:

Tangled Integrations

Linking Facebook APIs and payment processors such as Razorpay or Stripe may cause performance bottlenecks or gaps in security.

Scalability Stress

A promotional post spreads like wildfire. Will your app be able to support the increased traffic load without breaking down? Most can’t.

Manual QA Bottlenecks

Late releases, unidentified bugs because of manual testing, or disjointed automation.

Mobile Integration Struggles

Making a TikTok-associated payment flow run smoothly on iOS and Android devices can be a nightmare for a developer.

Techling’s Smart Solution: BTS, Built to Scale, Built to Last

To avoid these issues, we designed a solution stack that is modular, reliable, and prepared for scale.

Saud-Driven Architecture with Python & FastAPI

We operate on a basis of microservices, and each aspect—such as user login through Twitter or confirmation of payment by Stripe—is contained for flexibility. This enables quick deployments and easy debugging without affecting the whole system.

Example

A fashion retailer’s mobile app uses Google login, Instagram shopping integration, and Stripe for payment. Techling created the backend using Python microservices, scaled it using Kubernetes, and automated testing using Pytest, decreasing launch time by 40%.

Work QA That Functions in Your Sleep

Using Pytest and Selenium, our Automation Pipelines check every build – that is, if there is a bug in Facebook comment sync or transaction confirmation, it is caught prior to going live.

Example

Users log in via Facebook, provision of SMS alerts, and payment through Razorpay. The native apps (iOS & Android) developed by Techling synchronize in real time with the backend APIs for ticket availability and confirmation.

Kubernetes: Your Auto-Scaling Ally

Traffic spike? No problem. Kubernetes tracks consumption and scales your backend automatically, making your services reactive and accessible at all times. It may be a shopping app promoting real-time Instagram offerings or a content app monetizing with YouTube APIs, it remains online —always.

Native Feeling Mobile Apps—Because They Are Native

We develop apps for iPhone in Swift and for Android in Kotlin meaning the app can have tight integration with the backend for real-time notifications, secure payments and embedded social help such as in-app Instagram feeds or Google login.

Features & Benefits

Plug-and-Play Integration

Looking to let users sign in with Google, publish purchases on Facebook, and pay with Razorpay? Done. Our microservices allow integrations like these to be relatively easy.

Stress-Free Scalability

A user base going from 10K to 100K? Kubernetes scales your services as per the demand – without downtime.

Faster Time-to-Market with QA Automation

Constant testing is faster and safer releases-no more midnight panic bug fixing after launch.

Powerful Mobile Experience

No matter whether you are creating a food-delivery app with the integrated Instagram stories or a fitness app with in-app purchases, our mobile-first engineering makes sure that everything is intuitive and responsive.

Secure and Scalable Cloud Deployment

Created for AWS, your application remains secure and ready to go worldwide with minimal clicks.

Technologies Used to Build the Solution

Component Details
Backend Framework Python, FastAPI
Mobile Platforms Swift (iOS), Kotlin (Android)
Container Management Kubernetes
Cloud Provider AWS
QA Automation Pytest, Selenium
ML Capabilities TensorFlow, PyTorch (optional AI features)