Address
Utrecht, Veenendaal

Work Hours
Monday to Friday: 9am – 5pm
Weekend: 10am – 5pm

Introduction

Working closely with the software architect, I contributed to the development of a new Eventstore for the Qfact SaaS platform. This Eventstore was designed as a database for storing business logic, leveraging the Event Sourcing pattern to enhance accountability and auditing capabilities. Our development process was guided by SCRUM methodology, ensuring a structured and iterative approach to project completion.

Project Description

The primary objective of the Eventstore project was to create a robust and reliable database solution for storing business logic on the Qfact platform. The choice of an Eventstore was driven by the need to provide enhanced accountability and comprehensive auditing capabilities, critical for a platform dealing with complex data and business transactions.

Key tasks included:

  • Designing the Software: Collaborating with the software architect to design a scalable and efficient Eventstore.
  • Implementing the Code: Writing and testing the code to ensure functionality and performance.
  • Migration and Integration: Facilitating the migration of existing data and integrating the Eventstore into the current software platform.

Challenges Faced

Several challenges were encountered during the project:

  • Data Migration: Ensuring a smooth and accurate migration of existing data to the new Eventstore.
  • Integration: Seamlessly integrating the Eventstore with the existing software platform without disrupting ongoing operations.
  • Event Sourcing Pattern: Effectively implementing the Event Sourcing pattern to capture and store every change in the system state.

These challenges were addressed through meticulous planning, extensive testing, and close collaboration with the development team.

Technologies and Tools Used

The project utilized the following technologies and tools:

  • JavaScript: For developing the Eventstore software.
  • Cassandra: For event storage, chosen for its scalability and reliability.
  • MongoDB: For tracking read models, providing flexibility and performance.

These tools and methodologies were selected for their robustness, scalability, and suitability for handling complex data and business logic.

Key Features or Achievements

The project’s key features and achievements include:

  • Enhanced Accountability: Implemented an Eventstore that provides comprehensive auditing capabilities, capturing every change in system state.
  • Scalable Storage Solution: Developed a scalable solution using Cassandra and MongoDB to handle large volumes of data efficiently.
  • Successful Integration: Achieved seamless integration of the Eventstore into the existing Qfact platform without disrupting any operations or uptime.

Results and Outcomes

The Eventstore project yielded significant results:

  • Improved Data Integrity: Enhanced data integrity and accountability through the use of the Event Sourcing pattern.
  • Efficient Data Management: Provided a robust solution for managing business logic and complex data transactions.

Lessons Learned

Key lessons learned from the project include:

  • Importance of Planning: Thorough planning and testing are essential for successful data migration and integration projects.
  • Collaboration: Close collaboration with team members and stakeholders is crucial for addressing challenges and ensuring project success.

Conclusion

Contributing to the development of the Eventstore for the Qfact SaaS platform was a highly rewarding experience, showcasing my ability to design and implement scalable and efficient database solutions. The project’s success highlights my expertise in leveraging the Event Sourcing pattern, collaborating with key team members, and delivering high-quality software solutions. If you are interested in learning more about this project or discussing similar opportunities, please feel free to contact me.