How to design a deduplication strategy for MSP backups. Storage costs add up fast, and for businesses and MSPs managing large amounts of data, every gigabyte counts. Data deduplication helps by identifying and removing redundant data blocks, helping reduce backup storage requirements and bandwidth usage. In this video, we'll walk you through building a structured deduplication strategy that delivers data savings while maintaining predictable performance. Before we begin, be sure to subscribe to NinjaOne's IT Video Hub and our YouTube channel for more tech content like this. Task one, choose deduplication scope and isolation. Start by defining your tenancy model and the scope of deduplication. This determines how data blocks are compared and shared across your backup systems. Per-tenant or per-repository deduplication. Use a separate deduplication pool for each tenant or repository when governance, compliance, or security requirements call for strict data separation. Global deduplication. When legal and contractual boundaries allow shared storage pools, global deduplication can improve storage efficiency by storing identical data blocks across tenants only once. Hybrid approach. Use global deduplication within specific client groups while keeping other tenants isolated when compliance or security requirements demand it. Task two, select block sizing and matching. Block size can affect deduplication efficiency, CPU usage, and restore performance. Here's what to do. Choose a block size type. Variable, well-suited for large files that change incrementally as it adapts to data patterns. Fixed, suited for consistent, uniform workloads. Run a pilot test. Before rolling out across tenants, test your configuration to validate deduplication performance. Tune for efficiency. Monitor CPU and memory usage during merges and restores to find the right balance that meets your backup and restore SLAs. Task three, decide on source-side or target-side deduplication. Deduplication can occur at the source, at the target, or both. Choose based on what best fits your topology and bandwidth requirements. Source side, sends only unique blocks over the network. This is ideal for remote sites or bandwidth-constrained connections. Note that it may increase CPU load on endpoint agents. Target side, centralizes deduplication processing, making it easier to manage and scale across large data repositories. Hybrid, filters duplicates at the source, then performs deeper deduplication at the target for greater storage efficiency. Task four, align deduplication with chain strategy. Make sure your deduplication approach aligns with your backup chain strategy. Here's what to keep in mind. Pick a backup strategy. Incremental forever, one full backup followed by subsequent incremental backups. Synthetic full, combines a previous full backup with subsequent incrementals or differentials already stored in the repository. Differential, captures only changes or newly created data since the last full backup. Schedule merges during maintenance windows. Maintain at least two recent full recovery points. Note that incremental forever and synthetic full schedules interact with deduplication during merges and compaction, which may introduce I/O bursts. Deduplication is a valuable part of a backup strategy when storage and bandwidth efficiency are priorities. It identifies duplicate data blocks, stores a single copy, and references it when duplicates appear. And like any process, it works best when backed by a clear, structured framework. For guidance on seeding, portability, and measuring deduplication outcomes and more, check out our official blog post on designing data deduplication strategy for MSP backups, linked in the description below.