Scalable Data Infrastructure and Analytics System for High-Traffic E-Learning Platform

The client’s existing analytics system has reached its scalability limits, making maintenance costly and hindering effective data collection and analysis. The high volume of data generated by thousands of simultaneous users leads to performance issues, preventing timely insights and platform optimization.

A large online education provider offering technical training and certification courses, supporting thousands of users simultaneously, requiring robust data analytics for performance insights and platform optimization.

• Design and implement a scalable analytics system capable of managing millions of events daily from high-traffic user sessions.
• Reduce infrastructure maintenance costs and improve system uptime and reliability.
• Enable comprehensive data collection, storage, and analysis to derive actionable insights for platform enhancement.
• Support future platform upgrades with a flexible, cloud-based architecture that can seamlessly scale.

• Implementation of cloud-based data streaming and processing pipelines using AWS Kinesis & Firehose.
• Development of data modeling techniques to capture logs and event information for insights.
• Use of Elasticsearch and TimescaleDB for scalable data storage and retrieval.
• Provision of exploration and visualization tools, such as Apache Zeppelin or similar platforms.
• Backend programming using Python to manage data workflows.
• Adoption of Infrastructure as Code (IaC) with AWS CloudFormation and Terraform for deployment automation.

• Existing platform event logging systems
• External data sources for comprehensive analytics
• Visualization tools or dashboards

• Support high traffic with thousands of simultaneous users
• Capacity to process millions of events per day
• Cost-effective infrastructure with optimized maintenance costs
• High availability and system reliability
• Secure data handling and compliance with privacy standards

The new analytics system is projected to manage millions of daily events, providing valuable insights to optimize platform performance and user engagement. It will significantly reduce infrastructure costs and support future scalability, enabling the client to enhance their technical training offerings and maintain a competitive edge in the online education sector.