Bringing precision and control to SharePoint data growth
As organizations continue to generate and store ever-growing volumes of data in Microsoft SharePoint, the challenge is no longer just about storage capacity—it’s about control, cost efficiency, and governance. This is where ShArc policy management introduces a smarter, more structured approach to data lifecycle management.
A Hierarchical Policy Model Aligned with SharePoint
At the core of the feature is an intelligent, hierarchical policy model that mirrors SharePoint’s native architecture. IT administrators can define offloading rules at multiple levels—from tenant-wide or Microsoft Teams environments down to individual sites, subsites, or even specific document libraries. This layered structure allows organizations to apply broad governance rules while still accommodating the unique requirements of individual business units or projects.
Flexible Criteria for Smarter Offloading Decisions
What makes this approach particularly powerful is its use of flexible, rule-based criteria. Policies can be configured based on file age, file size, or a combination of both, ensuring that only the right content is moved from SharePoint to Azure Blob Storage. Frequently accessed or business-critical documents remain readily available in SharePoint, while older or less frequently used files are automatically offloaded to more cost-effective storage tiers.
To avoid conflicts between global and local rules, ShArc policy management includes a smart override mechanism. More specific policies automatically take precedence over broader ones, eliminating manual exceptions and reducing administrative overhead. The result is a system that adapts seamlessly to complex, real-world data structures without compromising consistency or compliance.
Proactive Control Over SharePoint Data Growth
By combining hierarchical control with intelligent automation, ShArc policy management enables organizations to manage SharePoint growth proactively. IT teams gain greater visibility and predictability, storage costs are optimized, and users continue to work in SharePoint without disruption—while the data strategy quietly works in the background.
