Introduction
In the vibrant online food service industry, EatFirst embarked on an initiative to enhance its decision-making capabilities through advanced, real-time analytics. Partnering with Moterra, a trusted cloud solutions provider, the aim was to develop a dedicated, highly available analytics database within their AWS infrastructure.
The Challenge
EatFirst faced the task of sharing non-sensitive data with an external analytics vendor, necessitating the creation of a separate database. This database needed to store only the data required for analytics purposes, thereby ensuring no compromise on the integrity and performance of their production databases.
The Solution
Moterra, leveraging its deep understanding and control over EatFirst’s infrastructure, decided to position the new database within the data tier subnets. Aurora PostgreSQL was chosen for its compatibility with the project’s engine requirements, coupled with RDS for a dependable backup solution. With a directive to minimise costs, Moterra applied AWS’s best practices to the fullest extent in the development and deployment of the database.
The Outcome
The project was a resounding success, validated by third-party analytics providers’ ability to effectively run their workloads. Key achievements include:
- A 25% increase in data processing speed, facilitating quicker decision-making.
- Reduction in analytics-related costs by 20%, owing to efficient resource use and cost-effective AWS service choices.
- Enhanced business insights leading to more informed strategic decisions.
Conclusion
This collaboration between EatFirst and Moterra has set a new benchmark for leveraging cloud-based analytics in the food service industry. The project not only met EatFirst’s immediate needs but also provided a scalable, cost-effective solution for future data analytics requirements, demonstrating the critical role of strategic planning and AWS cloud services in achieving business objectives.
