How a small DevOps team at Deutsche Bahn unlocked analytics for their SaaS product
Database Blog
This article discusses how a small DevOps team at Deutsche Bahn unlocked analytics capabilities for their SaaS product for curbside management of micro-mobility vehicles like scooters and bikes. They faced challenges in providing analytics on large amounts of data in a flexible and easy-to-digest manner.
Specifically, the article covers:
- The objectives and key drivers for the analytics solution, such as decoupling transactional and analytical workloads, efficient modeling and visualization, and low maintenance/complexity
- The proposed architecture using AWS services like Database Migration Service, Amazon Aurora, and Amazon QuickSight for data replication, storage, transformation, and visualization
- The implemented solution involving real-time data ingestion from multiple sources into an Aurora Serverless database, data modeling using PostgreSQL, and embedded QuickSight dashboards in their web app
- The insights gained during the AWS Prototype Engagement and plans for further improvements based on an event-sourcing architecture
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Jan 24
2024
2024
Behind the scenes: AWS real-time architecture for Bundesliga Match Facts
Jan 16
2024
2024
How to Scale for Global SaaS Growth with a Skyflow Data Privacy Vault on AWS
Jan 8
2024
2024
Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1
Jan 4
2024
2024
CloudFix saves time and money by using Amazon QuickSight for embedded analytics for a SaaS product within their Cloud Cost Optimization Platform
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.