Migrating 100 Million Users to a New Authentication System for McDonald's Global Mobile App

Khái niệm cốt lõi

Implementing a new microservice-based authentication system for McDonald's Global Mobile App required securely migrating over 100 million user accounts without disrupting the user experience.

Tóm tắt

The article discusses the technical challenges and considerations involved in migrating approximately 100 million user accounts to a new authentication system for the McDonald's Global Mobile Application (GMA).
The key highlights include:

GMA uses a microservice architecture for user registration, login, and profile management to support millions of users.
To provide a simpler user experience, the team decided to move to a new authentication system that allows users to register and log in without a password, using email verification or social media accounts.
The migration process had to be designed carefully to support the massive scale of 100 million user records, ensure data security, maintain data accuracy, and avoid disrupting the user experience or increasing latency.
The team developed a data migration script that could trigger batch-mode migrations without affecting the performance of the main authentication system.
Key considerations included supporting individual user records, ensuring fast migration times, maintaining data security during transfer, and achieving 100% data accuracy without discrepancies between the old and new systems.

Thống kê

We had to migrate approximately 100 million users.
Migration should not disrupt or increase latency to the end-user experience or functionality.
Time to migrate users should be fast.
Migrated data accuracy should be 100%.

Trích dẫn

"We had to migrate approximately 100 million users, so the system should support individual records and millions of record migrations."
"Migration should not disrupt or increase latency, to the end-user experience or functionality, and first-time registration and log in should not be affected."
"Migrated data accuracy should be 100%. The migration process should not result in data discrepancies between both systems, so data migration could only begin when the new system started receiving user-identity information."

Thông tin chi tiết chính được chắt lọc từ

The 100-million migration

by Global Techn... lúc medium.com 06-11-2024

https://medium.com/mcdonalds-technical-blog/the-100-million-migration-03db1f1f3f72

Yêu cầu sâu hơn

What were the specific technical approaches and tools used to develop the data migration script and ensure its reliability and performance at such a large scale?

To develop the data migration script for the 100-million user migration, our team utilized a combination of technical approaches and tools. We first designed the script to be scalable and efficient, capable of handling individual records and millions of record migrations without disrupting the end-user experience.
For reliability and performance, we implemented the script using a microservices architecture, similar to the backend structure of the Global Mobile App. This allowed us to decouple the migration process from the main authentication system, ensuring that user registration and log in functionalities were not affected during the migration.
To ensure data security during transfer, we utilized encryption protocols and secure data transfer mechanisms. We also leveraged tools like data validation checks and checksums to verify data integrity before and after migration. Additionally, we employed monitoring tools to track the performance of the migration script in real-time, allowing us to address any issues promptly and optimize performance.

How did the team validate the data accuracy and ensure there were no discrepancies between the old and new systems during the migration process?

To validate data accuracy and prevent discrepancies between the old and new systems during the migration process, our team implemented a rigorous validation strategy. Before initiating the migration, we conducted thorough data quality assessments to identify any inconsistencies or errors in the existing user data.
During the migration, we used data reconciliation techniques to compare data between the old and new systems in real-time. This involved running parallel tests to ensure that user-identity information was accurately transferred to the new platform. Any discrepancies or data inconsistencies were flagged immediately for resolution.
Post-migration, we performed extensive data validation checks to verify the accuracy of the migrated data. This included conducting user acceptance testing (UAT) with a subset of users to confirm that their accounts were successfully migrated and that they could log in and access their profiles without any issues. By continuously monitoring data integrity and conducting validation checks at each stage of the migration process, we ensured that there were no discrepancies between the old and new systems.

What lessons or best practices from this large-scale migration project could be applied to other organizations facing similar challenges of transitioning millions of users to a new platform or system?

Several key lessons and best practices from our large-scale migration project can be applied to other organizations facing similar challenges:

Thorough Planning: Prioritize thorough planning and assessment of the migration scope, considering factors like data volume, system compatibility, and user impact.

Scalable Architecture: Implement a scalable architecture that can handle large-scale migrations without compromising performance or user experience.

Data Security: Prioritize data security during transfer by using encryption protocols and secure data transfer mechanisms to protect user information.

Validation and Testing: Conduct extensive data validation checks and testing throughout the migration process to ensure data accuracy and prevent discrepancies between systems.

Real-time Monitoring: Utilize monitoring tools to track the performance of the migration script in real-time, allowing for immediate issue resolution and performance optimization.

User Acceptance Testing: Involve users in the validation process through UAT to confirm that migrated accounts function as expected and that users can access their profiles seamlessly.

By following these best practices and lessons learned from our migration project, organizations can successfully transition millions of users to a new platform or system with minimal disruptions and maximum data accuracy.