SaaS: Online repository of study materials

Database tier use two database AWS Redshift (2 nodes) for analytics purposes as a raw data warehouse and AWS RDS (Application tier) with data encryption at a rest and synchronous replication across two different availability zones for the fault tolerance.
Using AWS RDS restore two point in time allows us to have a RPO (Recovery Point Objective) as low as 5 seconds. Back-up retention period – 35 days.
For the monitoring purpose we use AWS Cloud Watch to automatically identify certain events as degradation in performance and in response to that scale the instance fleet automatically.
In case of an alarm we have a team receiving notification with the SLA of 14 hours to mitigate any issue with the systems.
Amazon Kinesis used for gathering analytics data and storing it in our data warehouse (AWS Redshift) for future analyzes. AWS Data pipeline generating daily analytic reports from raw data in AWS Redshift and save results in AWS RDS.

Platform lets partners to access and manage content based on their permissions, add it to their learning management system like Moodle or Canvas easily using secured links that will expire if embedded into unsupported platform or shared illegally.
Analytics module gives full picture of views and fails of loads for files and folders filtered per country, browser, file type visualized to get powerful business insights and even track single file performance to take precise action.