Client
SciCan
Industry
Manufacturing
Technologies
Drupal, Amazon SES, Prometheus, AWS
About the project
SciCan, a leading provider in its industry, aims to enhance its email campaign monitoring capabilities. The objective is to create a cloud-based system that collects detailed email sending statistics, converts these into actionable metrics, and provides a user-friendly interface for data analysis and real-time alerting.
Challenges
Scican faces multiple challenges, including inefficient monitoring and analysis of email performance across campaigns, which lacks real-time insights and centralized data visualization. The need for a comprehensive system that could offer detailed analytics and prompt response to delivery issues is critical.
Solution
To address these challenges, we proposed a solution utilizing the Drupal framework for building a scalable and secure web application. Integration with Amazon SES allows for the collection of detailed email sending statistics such as delivery rates, bounce rates, complaint rates, and open/click rates. These statistics are then converted into Prometheus-compatible metrics to facilitate comprehensive monitoring and alerting.
A user-friendly interface was developed within the Drupal platform to visualize and analyze email trends, featuring customizable dashboards, interactive charts, and detailed reports. This interface ensures that the marketing team can easily interpret the data and make informed decisions. Furthermore, the solution includes real-time notifications through a Prometheus alerting system, allowing the team to respond promptly to any issues.
The implementation plan is spread across 4 phases:
Phase 1: Requirement Analysis and Planning
- Detailed requirement gathering from stakeholders.
- Designing the architecture and defining the data flow between Amazon SES, Drupal, and Prometheus.
Phase 2: Development
- Setting up the Drupal framework and necessary modules.
- Implementing the integration with Amazon SES to collect email statistics.
- Developing the UI for data visualization and analysis.
- Converting collected statistics into Prometheus metrics.
- Configuring Prometheus for metric collection and alerting.
Phase 3: Testing and Quality Assurance
- Comprehensive testing of data collection, UI functionality, and metric conversion.
- Validating the integration with Prometheus alerting solution.
Phase 4: Deployment and Monitoring
- Deploying the solution on AWS.
- Setting up continuous monitoring and logging for system performance and reliability.
- Training the marketing department on using the new system.
Technologies used
Results
The project is expected to deliver significant benefits upon completion. These include:
- A centralized platform that allows the marketing department to monitor and analyze email sending performance efficiently.
- Improved visibility into email campaign effectiveness through detailed analytics and trend observation.
- Enhanced response capabilities to email delivery issues with real-time alerts.
- A scalable and robust cloud-based solution leveraging AWS, ensuring high availability and security.
Perspective
This project aims to empower the marketing department with a comprehensive email analytics and monitoring system, leveraging the power of cloud infrastructure and advanced data analytics tools. By integrating Drupal, Amazon SES, and Prometheus, the solution provides a seamless and efficient way to manage and optimize email campaigns.