Automating SharePoint Online Migration: Streamlining and Saving $450K Annually
Introduction
In an ever-evolving digital landscape, efficient data and service migration to cloud platforms have become critical for businesses. Our organization faced the challenge of moving SharePoint services and data to SharePoint Online (SPO), requiring high precision and speed. This write-up outlines the development of an automated migration script and how it streamlined this massive data movement while generating an estimated $450,000 in cost savings over a year.
Due to SharePoint site limits, Freedom Forever was paying an extreme amount of extra storage and third party SaaS like ShareGate for storing AutoCad Solar Project build plans. At a velocity of 1.5Tbs created a month, I needed to ensure overall Sharepoint storage never breached 30Tbs.
The Challenge
Migrating out of SharePoint Online to any other file store (Cloud or physical) is complex, involving:
- Large volumes of data with varied structure and compliance requirements.
- Risks of downtime, data loss, and user impact, especially as there are overall site limits to SPOs API.
- High manual effort for managing migrations, resulting in increased labor costs.
- SharePoint being a webpage schema and not an actual fileshare
- No Orchestrator connections that kept heirarchy of binary files as SPO is not a true POSIX file store.
- Manual moves limited to 100 binary objects at a time
We needed a solution that minimized manual intervention, ensured secure data transfer, and guaranteed business continuity.
The Approach
The Approach
I began by tackling one of the most significant challenges: extracting data from legacy SharePoint instances. With the complexity and volume of data at the forefront, I developed a Python script to seamlessly interface with SharePoint Online APIs. My focus was on minimizing disruption while ensuring data integrity throughout the process.
To start, I prioritized data extraction and validation. I built routines to carefully pull data from various SharePoint sources, confirming the structure and integrity of each item before initiating any transfers. This validation step was crucial—it mitigated potential issues downstream and significantly reduced the need for manual corrections, laying a solid foundation for the automated migration.
Once the data was prepared, I shifted to automating the transfer process. By employing batch processing, I enabled large volumes of data to be moved swiftly and securely. Maintaining a reliable connection through Azure Active Directory was a top priority, ensuring every transfer adhered to stringent security and authorization protocols.
The journey was not without its challenges, particularly in handling errors. To address this, I integrated automated error detection, logging, and retry mechanisms within the process. If an error arose, the system logged it, automatically retried the operation, and provided detailed reports for auditing and troubleshooting. This approach offered invaluable transparency and confidence during complex data migrations.
Ensuring continuity in user permissions and security was equally important. I developed functionality to seamlessly migrate user access and permissions, minimizing any security gaps and allowing users to transition smoothly without interruptions.
To finalize the process, I conducted extensive testing in a controlled environment. I validated every aspect of the migration, confirming data integrity, measuring transfer speed, and ensuring compliance with company and regulatory standards. Each iteration of testing allowed me to fine-tune the script, maximizing efficiency and reliability.