An MSP backup strategy should define the recovery outcome you are responsible for before it defines the backup tool. For each client workload, document what must be recoverable, the acceptable data-loss window, the acceptable service-restoration window, how long recovery points are retained, who can restore them, and how the MSP proves the process works.
For Raff Technologies workloads, that means treating VM recovery, databases, persistent storage, object data, client networking, credentials, and application validation as separate recovery responsibilities that may need different controls. A successful backup job is useful evidence, but it is not the same as a recovered client service.
For MSPs, the commercial rule is simple:
Do not promise a recovery outcome that the operating team has not defined, documented, and tested.
MSP backup strategy at a glance
| MSP decision | What must be defined |
|---|---|
| Recovery scope | Which workloads, data, files, credentials, and dependencies must return |
| RPO | Maximum acceptable data-loss window |
| RTO | Maximum acceptable time until the agreed service is usable |
| Retention | How far back a usable recovery point must remain available |
| Recovery ownership | Who approves, performs, validates, and communicates the restore |
| Isolation | Which production failures must the recovery copy survive |
| Test evidence | What proves the recovery path actually works |
| Client responsibility | Which applications, credentials, data, or validation remain the client's responsibility |
| MSP responsibility | Which infrastructure and recovery actions the MSP operates |
| Provider responsibility | Which underlying cloud mechanisms the provider operates |
An MSP backup offer becomes easier to sell and support when these boundaries are explicit.
Start with client recovery commitments, not a default schedule
A common MSP mistake is beginning with a statement such as “daily backups included.”
That describes a schedule, not a recovery outcome.
The client usually cares about questions such as:
- How much recent data could be lost?
- How quickly can the service return?
- How far back can we recover after a problem is discovered?
- Who decides which recovery point to use?
- Does the restore include the database, uploaded files, and configuration?
- Can the MSP prove the process works?
- Which failures are excluded from the service?
For every managed workload, define five commitments:
- Recovery scope — what must return.
- Recovery point — how much data loss is acceptable.
- Recovery time — how long the service may remain unavailable.
- Retention — how far back recovery may need to reach.
- Ownership — who approves, performs, validates, and communicates recovery.
These commitments should drive the technical design.
RPO and RTO are targets unless the contract makes them guarantees
MSPs should distinguish internal recovery objectives from contractual service guarantees.
RPO is the maximum acceptable data-loss window.
RTO is the maximum acceptable time until the agreed service is usable again.
They are planning targets by default. They become contractual commitments only when the service agreement defines them as such, including measurement rules, exclusions, support conditions, and remedies where applicable.
For example, these statements are not equivalent:
Target RTO: 2 hours
and:
Guaranteed restoration within 2 hours
The second creates a much stronger commercial obligation.
Before quoting an RPO or RTO to a client, define:
- what starts the clock;
- what ends the clock;
- whether client approval time counts;
- whether third-party outages count;
- whether application-level validation is included;
- whether database recovery is included;
- whether traffic return is included;
- which recovery scenarios are excluded.
This protects both the client and the MSP from vague expectations.
Map workload impact to protection depth
Not every client workload needs the same recovery architecture.
| Workload | Typical recovery concern | Practical direction |
|---|---|---|
| Rebuildable test VM | Fast recreation | Minimal retention plus rebuild documentation |
| Marketing website | Content and configuration | VM or app recovery plus content validation |
| Internal business app | Staff productivity | Retained recovery points plus tested application restore |
| Production SaaS app | Customer state and availability | VM/app recovery, database-aware protection, file/object recovery |
| Production database | Integrity and point-in-time recovery | Database-native recovery plus infrastructure protection |
| File/document server | Deleted or changed files | Historical file recovery plus server recovery |
| Windows business server | Application, files, users, licensing notes | Server recovery plus application-specific validation |
| Compliance-sensitive archive | Retention and controlled deletion | Policy-defined retention and restricted access |
Increase protection depth when:
- data cannot be recreated;
- customers or revenue depend on the workload;
- the RPO is short;
- the RTO is short;
- the workload has several dependencies;
- failures may be discovered late;
- restore steps are complex;
- credentials or encryption keys are difficult to recover.
A simpler workload should not inherit an expensive recovery design merely because the MSP can provide one.
Retention should follow detection delay, not habit
The newest backup is not always the correct backup.
A client may discover a problem days later:
- a user deleted records on Monday;
- an application bug corrupted data gradually;
- a compromised credential changed files over several days;
- a migration appeared successful until month-end reporting;
- ransomware encrypted files before the incident was noticed.
Retention should therefore answer:
How far back might the client need a known-good recovery point?
Build the policy from:
- detection delay;
- business history requirements;
- contractual or regulatory obligations;
- data growth;
- recovery cost;
- restore complexity.
A practical policy may combine:
frequent recent recovery points ↓ daily retained points ↓ weekly checkpoints ↓ longer-term points where justified
The exact schedule should be chosen per client and workload rather than copied across the whole MSP customer base.
Use Backup Retention Policy Explained for the detailed retention model.
Backup isolation should match the failure you are trying to survive
A recovery copy can exist and still share too much risk with production.
Review whether production and recovery share:
- administrator credentials;
- deletion authority;
- the same server or filesystem;
- the same application identity;
- the same storage credential;
- the same network exposure;
- the same person as the only key holder.
For important clients, reduce shared failure paths where practical.
That may mean:
- a backup destination separate from the protected VM;
- narrower backup credentials;
- separate restore permissions;
- restricted deletion authority;
- independently retained exports or backup artifacts;
- credentials stored outside the failed workload.
The goal is not maximum complexity. The goal is that the recovery copy survives the incident it is supposed to solve.
Database recovery needs its own MSP policy
A VM backup is not automatically a complete database recovery strategy.
Transactional systems may require:
- logical dumps;
- physical/base backups;
- write-ahead log or binary-log retention;
- point-in-time recovery;
- managed database recovery features;
- replication or failover for availability.
These controls solve different problems.
| Database problem | Leading recovery control |
|---|---|
| Host failure | Replacement infrastructure, replication, or managed failover |
| Accidental row deletion | PITR or selective database restore |
| Bad schema migration | Known-good database recovery point before the migration |
| Database corruption | Database-aware backup and validation |
| Complete VM loss | Database backup plus replacement compute |
For self-hosted databases, the MSP must know who owns the database backup chain, credentials, retention, and validation.
For managed databases, the provider may operate the underlying backup mechanism while the MSP or application owner still chooses the recovery point, validates the data, reconnects the application, and approves traffic return.
Use Database Restore Testing for the validation workflow.
Files, uploads, and object data need explicit ownership
Many modern workloads store important data outside the VM disk.
Examples include:
- SaaS uploads;
- customer documents;
- media;
- exports;
- reports;
- archives;
- application-generated artifacts.
An MSP recovery plan should document:
- where these files live;
- who owns the storage credentials;
- how deletion is handled;
- whether historical recovery is required;
- how the recovered database is checked against the recovered files.
A restored database that references missing objects is not a complete recovery.
Raff Object Storage can provide an S3-compatible storage layer separate from one VM filesystem, but the MSP still needs to design access, retention, recovery, and application validation around the client requirement.
Restore testing is the evidence behind the service
Backup completion proves that a protection process reported success.
Restore testing proves that the MSP can actually use the recovery point.
A meaningful test should verify:
- the correct recovery point can be identified;
- compute and storage can return;
- database and file data can be recovered;
- secrets and certificates are available;
- networking and DNS can be restored;
- the application starts;
- critical user or staff workflows work;
- measured recovered-data age meets the RPO;
- total recovery time meets the RTO;
- failures and workarounds are assigned to named owners.
Use Restore Testing Checklist for Production VMs for the full process.
For MSPs, the restore report is also commercial evidence. It shows whether the service being sold matches the service the operations team can actually deliver.
MSP service tiers should map to real recovery differences
An MSP can offer multiple recovery tiers, but each tier should correspond to a genuine technical and operational difference.
Example structure:
| Service tier | Recovery model |
|---|---|
| Basic | Standard recovery points, longer RPO/RTO, simpler validation |
| Production | Shorter recovery targets, broader workload coverage, recurring restore tests |
| Critical | Shorter targets, deeper database/file recovery, stronger isolation, more frequent testing |
The tier names are commercial choices. The technical difference should be measurable.
Useful differentiators include:
- recovery-point frequency;
- retention length;
- isolated copy requirements;
- database-aware recovery;
- restore-testing frequency;
- recovery owner and escalation path;
- after-hours response coverage;
- documentation depth;
- client validation support.
Avoid charging more for a “premium recovery” tier if the underlying protection, ownership, and testing are effectively identical.
How to evaluate MSP backup solutions
The search phrase MSP backup solutions often leads teams toward feature comparisons. Features matter, but an MSP should evaluate the complete operating model.
A useful evaluation checklist is:
Coverage
Can the platform protect the actual workloads you manage—VMs, databases, files, persistent volumes, and other required state?
Recovery behavior
Can you explain exactly what happens during restore? Is recovery in-place, to new infrastructure, or workload-specific?
Retention control
Can retention match different client requirements without manual improvisation?
Isolation
Can important recovery points survive the production failure or credential compromise they are intended to address?
Access control
Can backup creation, restore, retention changes, and deletion be separated by role where the risk justifies it?
Evidence
Can the MSP document recovery-point age, restore duration, errors, and test results?
Operational fit
Can technicians execute the process consistently at 3 a.m., not only the engineer who designed it?
Commercial fit
Can the MSP map the cost and operating effort to a client service tier without creating hidden margin loss?
The best-fit platform is the one the MSP can operate predictably against the service it promises.
Backup services can create hidden MSP margin loss
Recovery products have infrastructure cost, but the larger risk is often unpriced operations.
Include these in the service model:
- backup storage;
- retained history;
- restore-test infrastructure;
- technician time;
- after-hours recovery work;
- database-specific operations;
- application validation;
- client communication;
- documentation;
- recurring access reviews;
- cleanup after tests and incidents.
A client that needs a four-hour RTO, database PITR, monthly restore testing, and assisted application validation is buying a different service from a client that only needs a retained VM recovery point.
If both are priced as “backup included,” the MSP can absorb significant unplanned support work.
Define provider, MSP, and client responsibility separately
A clear responsibility model reduces incident confusion.
| Responsibility | Provider | MSP | Client/application owner |
|---|---|---|---|
| Operate underlying cloud backup mechanism | Usually | No | No |
| Configure workload protection policy | Sometimes shared | Usually | Approves requirement |
| Define business RPO/RTO | No | Advises | Owns/approves |
| Choose recovery point during incident | Supports tooling | Usually | Approves where required |
| Validate application data | No | Often assists | Usually owns final acceptance |
| Restore third-party SaaS dependency | No | Limited | Depends on vendor |
| Maintain application credentials | Platform-dependent | Often | Shared responsibility |
| Decide traffic may return | No | Advises/executes | Business/application owner |
The exact split depends on the service contract. Document it before an incident.
Raff-specific MSP recovery design
Raff provides several infrastructure layers that can support an MSP recovery architecture:
- Data Protection for VM-level recovery points;
- Object Storage for durable files and compatible recovery artifacts;
- Volumes for persistent disk-like application state;
- Raff VM and Windows VM for client compute;
- VPC for private workload and recovery paths;
- Managed Databases for supported managed database workloads.
As reviewed on September 16, 2026, Raff VM backup restores are currently in-place. The selected VM is powered off and overwritten with the chosen recovery point.
That behavior matters for an MSP because it affects how you design routine testing. An isolated rebuild exercise can prove application and data recovery without touching production, while the exact in-place VM restore path should be validated separately in a controlled maintenance scenario when required.
Do not hard-code mutable pricing, backup counts, retention limits, or other commercial values into a client commitment without verifying the current product and pricing pages.
The provider supplies recovery mechanisms. The MSP still owns the client-specific policy, documentation, escalation, validation, and service boundary.
