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Amazon EC2, Amazon EBS, Docker Compose, PostHog
Self-hosted PostHog deployment on AWS for modern product analytics with session replay, feature flags, and experimentation capabilities.
The client is a leading Indian ed-tech non-profit organization dedicated to improving early childhood education and foundational learning outcomes for children across the country. Through partnerships with state governments and education systems, the organization focuses on empowering parents, teachers, and caregivers with localized, play-based digital learning solutions. Its mission is to leverage technology and community engagement to enhance learning experiences and strengthen foundational education at scale.
Improvement in Analytics Visibility
Reduction in User Behavior Analysis Time
Faster Product Decision-Making
The organization’s existing Matomo implementation was limited to basic web analytics, providing insufficient visibility into user journeys, product engagement, and feature adoption. The lack of advanced capabilities such as session replay, feature flag management, experimentation, and self-service reporting made it difficult for product teams to gain actionable insights, validate decisions, and understand customer behavior effectively. As digital products expanded, these limitations slowed innovation and hindered data-driven decision-making across the organization.
• Self-hosted PostHog deployment on Amazon EC2 using Docker Compose.
• ClickHouse-powered analytics processing for high-volume event data.
• PostgreSQL for application metadata management.
• Redis, Kafka, and Celery for event processing and background tasks.
• Amazon EBS for persistent storage of analytics and application data.
• Advanced capabilities including session replay, feature flags, funnels, retention analysis, and experimentation.
Achieved 60% improvement in analytics visibility, 50% reduction in user behavior analysis time, and 40% faster product decision-making with complete ownership of analytics infrastructure and data on AWS.
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