Software Engineering · India
Infinity Learn Live Learning Stack
We built a scalable, serverless live learning infrastructure for Infinity Learn, enabling YouTube-powered live classes, real-time chat, and seamless notifications while optimizing costs and performance for millions of learners across India.
Client Overview
About Our Client
Our client, a leading innovator in digital education, is the online learning arm of Sri Chaitanya Educational Institutions, focused on delivering personalized, outcome-driven learning experiences for K‑12 and competitive exam students through scalable web and mobile platforms.
- Industry
- EdTech
- App Type
- Web and Mobile Platforms
- Services
- Backend Engineering, Serverless Architecture, Real-time Communication, and Platform Optimization
- Engagement Model
- Product Engineering Partnership
Tech Stack Used
- NestJS
- MongoDB
- AWS (Lambda, API Gateway, DynamoDB, S3, SQS, SNS)
- Firebase/FCM
- Ably Realtime
Requirement
The client needed a scalable live learning infrastructure that could power YouTube-based real-time classes, real-time chat, notifications, and large content uploads while minimizing infrastructure costs and ensuring reliable performance during high-traffic sessions.
Results
Cost Efficiency
Achieved significant infrastructure savings through a serverless, pay‑per‑use model instead of always‑on servers.
Seamless Scalability
Enabled the platform to support large spikes in concurrent learners during live classes without performance degradation.
Higher Engagement
Real-time chat and targeted push notifications increased learner participation before, during, and after live sessions.
Operational Control
Automated user deletion and data synchronization streamlined operations and improved data consistency across tools.
Performance & Reliability
API, database, and S3 multipart upload optimizations reduced latency and eliminated large-file upload failures for learners and instructors.
Our Process
Analyzed Client Needs
Mapped client’s live learning goals, pain points, and scalability expectations for real-time classes.
Tech Stack Selection
Chose a serverless, event-driven stack using AWS, NestJS, MongoDB, Ably, and Firebase for performance and flexibility.
Architecture Design
Designed a modular architecture covering live streaming, chat, notifications, user lifecycle automation, and large file handling.
Development
Implemented YouTube Live integration, real-time chat, push notifications, APIs, and S3-based upload workflows.
Quality Assurance
Tested scalability, latency, and reliability under peak live-session loads with extensive functional and performance checks.
Deployment
Rolled out serverless services and queues via automated pipelines, enabling seamless scaling and low-ops maintenance.
Core Solution
YouTube Live Integration
Built a custom backend service to create, schedule, and manage YouTube Live sessions directly from the Infinity Learn platform, enabling seamless real-time classes.
Serverless Learning Architecture
Transitioned core services to AWS serverless components like Lambda, API Gateway, and DynamoDB, ensuring automatic scaling and pay‑per‑use cost efficiency during high‑traffic live events.
Real-Time Engagement Layer
Integrated Ably-powered live chat and FCM-based push notifications so learners can interact instantly with instructors and receive timely updates across devices.
Operational & Performance Optimization
Implemented SQS-driven user deletion workflows, API and database optimizations, and S3 multipart uploads to streamline operations, reduce latency, and handle large file uploads reliably.
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