Architecting Large-Scale SharePoint Online Automation Without Melting the Tenant
The article discusses an engineering pattern for running large-scale, high-volume automations on SharePoint Online without causing issues for the tenant.
Why it matters
This article provides a well-architected pattern for enterprises running mission-critical SharePoint Online automations at scale.
Key Points
- 1Use a queue-first architecture with Azure Service Bus or Storage Queues
- 2Implement an idempotent worker pattern with Azure Functions for safe retries
- 3Build a throttle-aware client layer with exponential backoff, jitter, and per-tenant concurrency caps
- 4Leverage a safe fan-out/fan-in pattern for large jobs like migrations and metadata rewrites
- 5Incorporate a governance shell with logging, correlation IDs, circuit breakers, and admin dashboards
Details
The article outlines a comprehensive approach to running large-scale SharePoint Online automations without causing issues for the tenant. Key elements include a queue-based architecture, idempotent worker pattern, throttle-aware client layer, safe fan-out/fan-in for big jobs, and a governance shell for logging, observability, and admin controls. The goal is to push the limits of SharePoint Online automation while staying within Microsoft's guardrails, maintaining user experience, and providing full visibility for security and compliance teams.
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