SLA Expectations for MSP Services

Reviewed by Fully Compliance editorial staff. Last updated: 2026.

A meaningful MSP service level agreement specifies uptime targets by system criticality (99.5% for business-critical, 99% for important systems), defines both response and resolution times by severity level, includes automatic service credits of 5 to 15% of monthly fees for misses, and excludes only genuinely uncontrollable events. Match SLA targets to your actual business needs rather than buying the highest tier the vendor offers.


You're looking at an MSP's availability guarantee — 99.9% uptime, they say — and you're trying to figure out what that actually means for your business. Does 99.9% mean you get 43 minutes of downtime per month or something else? What about response times? What about when they meet the uptime goal technically but your users are still experiencing problems? Service level agreements are supposed to define what an MSP commits to, but most SLAs are written in ways that protect the vendor while leaving you with questions about what you're actually getting.

Understanding realistic SLA targets, how they're measured, and what happens when they're missed is essential because SLAs form the basis of your entire service relationship. A good SLA is specific, realistic, and enforceable. A bad SLA creates false confidence because it sounds good but doesn't actually protect you.

Uptime Percentages Translate to Real Downtime Budgets

MSPs quote uptime percentages that sound impressive until you understand what they mean operationally. 99.9% uptime means 43 minutes of acceptable downtime per month. 99.99% uptime means 4 minutes per month. 99.95% means about 22 minutes per month. These numbers compound across multiple systems, and most organizations don't realize they're buying into downtime budgets they don't actually need.

The first thing to understand is that not every system needs high availability. Your email system is business-critical, and email downtime is catastrophic. Your development environment is important but non-critical, and developers can be offline for a few hours without causing major business impact. Your internal wiki or knowledge base is nice to have, and downtime is an inconvenience but not a business threat. Different systems need different uptime targets.

For most business-critical systems, 99.5% uptime is reasonable and achievable. That's about 3.5 hours of acceptable downtime per month. For important systems that aren't critical, 99% uptime is adequate — about 7 hours per month. For everything else, 95% uptime is fine, and some systems don't need an uptime target at all because they're rarely used or have external redundancy.

The problem is that 99.99% uptime is genuinely expensive to guarantee because it requires redundancy, failover systems, and continuous monitoring. If you're buying 99.99% uptime when you actually need 99%, you're paying premium pricing for protection you don't need. According to the Uptime Institute's 2024 Annual Outage Analysis, the average cost of a significant data center outage exceeds $100,000, but most businesses can tolerate short-duration outages on non-critical systems without material impact. Be realistic about what your business actually requires instead of buying the highest percentage the vendor offers.

How Uptime Measurement Creates Ambiguity

This is where SLAs get tricky. Uptime measurement sounds straightforward but it's full of opportunities for ambiguity. Does the MSP measure uptime on individual systems or aggregate uptime? If you have three email servers and one goes down, is that a total outage or a partial outage? Does measurement include scheduled maintenance, or is scheduled maintenance excluded from the SLA?

Ask the MSP specifically: how do you measure uptime? Do you measure each system individually or aggregate? If you have redundancy, do I get credit for partial failures? Most reasonable MSPs exclude scheduled maintenance from SLA calculations, which is fair — you know it's coming. But confirm this. If scheduled maintenance is counting against your uptime SLA, that's unreasonable.

Ask about third-party outages. If your internet provider has an outage and your systems are down, does that count against the MSP's SLA or is it excluded? Most reasonable MSPs exclude outages outside their control. But some try to include everything, which means you're essentially guaranteeing uptime on things the MSP doesn't control. That's unacceptable.

Ask what happens if you have redundancy. If the MSP provides a primary system and you have your own backup system, is downtime measured on the primary system only or on your actual service availability? You want measurement to reflect your actual experience, not just whether the MSP's specific system is up.

Resolution Time Matters More Than Response Time

Response time and resolution time are often confused, and that confusion creates frustration. Response time is how fast the MSP acknowledges your problem and starts working on it. Resolution time is how fast they actually fix it. You need both metrics in your SLA, and you need to understand they mean different things.

A reasonable response time for critical issues is 15 to 30 minutes, 24/7. This means if your systems are down at 2 AM, someone is getting paged and responding within 30 minutes. For high-priority issues, 1 to 2 hours is reasonable. For medium priority, 4 hours. For low priority, 8 business hours or next business day is fine.

Resolution time is where it gets tricky because it depends heavily on what's actually wrong. Some issues are fixed in minutes. Some take hours. Some require third-party vendor involvement and take days. Most reasonable MSPs differentiate resolution time by severity. Critical issues might commit to 4-hour resolution. High-priority might be 8 to 24 hours. Medium might be 24 to 48 hours. Low might be 3 to 5 business days.

But here's the reality: resolution time commitments are sometimes unrealistic, and good vendors know this. Some issues simply can't be resolved quickly. If your ERP system has a rare database corruption that requires vendor involvement, that might take days to resolve regardless of how fast the MSP responds. Ask the vendor: what types of issues can you realistically commit to resolving in 4 hours? What types take longer? If they claim everything can be resolved in 4 hours, they're not being realistic.

"24/7 Support" Requires Specific Definition

"24/7 support" sounds good but it means different things depending on the vendor. To some vendors, 24/7 support means a staffed security operations center with real analysts watching your systems around the clock and responding to issues immediately. To others, 24/7 support means someone will respond to your ticket within 24 hours. These are wildly different service levels.

Ask specifically: if something happens at 2 AM on a Saturday, who sees it first? How long before a human reviews it? Are you getting immediate escalation or are you waiting until Monday morning? If the MSP can't commit to incident response at night and on weekends, they can't honestly call it 24/7 support.

Some organizations don't actually need 24/7 support. If your critical systems are monitored and your MSP has an on-call rotation for genuine emergencies, that's often sufficient even if your named support hours are business hours. What matters is understanding what 24/7 actually means and whether it matches your actual needs. 24/7 support is expensive, and you should only pay for it if you genuinely need it.

SLA Exclusions Need Close Reading

Every SLA has exclusions — situations where downtime doesn't count against the MSP's commitment. These are supposed to protect the MSP from liability for things outside their control. Common exclusions include third-party vendor outages, customer-caused issues, scheduled maintenance, and force majeure events like natural disasters.

These exclusions are reasonable in principle. If your cloud provider is down, that's not the MSP's fault. If you delete a critical database, that's not the MSP's fault. Scheduled maintenance announced in advance is fair to exclude. Force majeure makes sense.

But some MSPs try to exclude things that should be covered. If the exclusion says "operator error" and that includes human mistakes by the MSP's staff, that's too broad. If the exclusion says "any issue caused by third-party software" and that includes software the MSP selected and configured, that's overreach. Read the exclusions and understand what's not covered.

Ask the MSP: what's included and what's not covered by the SLA? If you see an exclusion that concerns you, push back. Ask whether the MSP can accept responsibility for broader categories. A good vendor will negotiate reasonable exclusions.

Automatic Service Credits Make SLAs Enforceable

An SLA without enforcement is a promise the vendor can break without penalty. The enforcement mechanism is what makes an SLA meaningful. Good MSPs offer service credits when they miss SLAs. These should be automatic — the credit applies to your next bill without you requesting it. If you have to claim credits, most organizations won't bother because the administrative hassle exceeds the credit value.

A reasonable credit structure is 5% of your monthly bill for one missed SLA, 10% for two missed, and 15% for three or more per month. Some vendors cap total credits at 25% even if they miss constantly — that's reasonable as long as 25% represents real financial impact.

Ask the MSP: what happens if you miss an SLA? Is there a credit? Is it automatic? What's the credit amount? If the vendor can't answer these questions clearly, the SLA isn't enforced and doesn't mean much.

Uptime is the most common SLA metric, but it's not the only one that matters. Response time and resolution time should be in your SLA with specific targets by severity. Some vendors also commit to performance baselines — your systems will respond to requests within a certain timeframe, not just be "up." This matters because a system can technically be up but running so slowly it's unusable.

Match SLAs to Your Actual Business Requirements

The best SLAs are the ones that match your actual needs, not the highest numbers the vendor offers. If your business can tolerate email being down for 2 hours per month, don't buy 99.99% uptime. If your development environment doesn't need high availability, don't pay for it.

Think through each system: how much downtime can you actually tolerate? If your payment processing system is down for 1 hour, what's the business impact? If your internal collaboration tool is down for 4 hours, what's the impact? Answer those questions and let the answers drive your SLA choices.

A vendor that recommends realistic SLAs based on your business is thinking about value. A vendor that recommends the highest tier for everything is selling, not advising. When an MSP says every system is critical and needs 99.99% uptime, push back and ask them to justify each recommendation.

Even with a comprehensive SLA, gaps exist. The SLA might guarantee uptime while performance degrades. The SLA might guarantee response time while resolution time extends. The SLA might cover infrastructure but not application support. Ask: beyond the uptime guarantee, what else do you commit to? What happens if you meet uptime but I'm experiencing performance problems? The more comprehensive the SLA, the better protected you are.

Ask the MSP how they calculate and report on SLA metrics. Can you see real-time dashboards showing uptime for each system? Will you get monthly reports with SLA performance? Transparency is a sign of confidence. A vendor that resists transparency or limits reporting is a vendor that isn't confident they're meeting commitments. You should be able to independently verify that the MSP is meeting their commitments. A good vendor welcomes your verification.

Frequently Asked Questions

What does 99.9% uptime actually mean in practice?
It means a maximum of 43 minutes of downtime per month, or about 8.7 hours per year. This is measured per system, not across your entire environment. Most businesses find that 99.5% uptime (about 3.5 hours per month) is sufficient for business-critical systems, and buying higher availability adds significant cost for marginal improvement.

Should I require 99.99% uptime from my MSP?
For most organizations, no. 99.99% uptime allows only 4 minutes of downtime per month and requires expensive redundancy, failover, and continuous monitoring infrastructure. Unless you're running systems where even brief outages cause significant financial harm (payment processing, trading platforms), 99.5% to 99.9% is the right target range.

What's the difference between response time and resolution time in an SLA?
Response time is how fast the MSP acknowledges your issue and begins working on it. Resolution time is how fast the issue is actually fixed. A 15-minute response time means nothing if resolution takes 24 hours. Your SLA should specify both, with targets differentiated by severity level, and enforcement mechanisms for each.

How do SLA service credits work?
When the MSP misses a committed SLA target, they credit a percentage of your monthly bill. A typical structure is 5% for one miss, 10% for two, and 15% for three or more per month, with a cap at 25%. Credits should be applied automatically to your next invoice. If you have to file a claim to receive credits, the vendor is counting on you not bothering.

What SLA exclusions are reasonable?
Reasonable exclusions include outages caused by third-party providers the MSP doesn't control, customer-caused issues, pre-announced scheduled maintenance windows, and genuine force majeure events. Unreasonable exclusions include "operator error" that covers MSP staff mistakes, issues with software the MSP selected and configured, and broadly worded catch-all clauses.

How often should SLA metrics be reviewed?
At minimum, request monthly SLA performance reports and review them. Schedule formal SLA reviews every 6 to 12 months to assess whether targets still match your business needs. Your environment changes over time, and SLAs that made sense when you signed the contract may need adjustment as systems become more or less critical.