19 IT Infrastructure Outsourcing Strategies. Here's What Actually Worked

Let me guess. Your CFO knows exactly what you spend on AWS, down to the dollar. Ask her what compliance documentation costs and watch her squint at a spreadsheet for 20 minutes before giving up.

Those costs don't show up on budget reviews, but they're killing you anyway.

Your team spends hours every week on maintenance tasks, compliance requirements, and infrastructure responsibilities that feel urgent but don't move the business forward. These functions consume significant capacity because you handle them reactively rather than strategically. Most organizations don't realize how much bandwidth these tasks eat until they offload them and suddenly have room to breathe.

I'm about to walk you through the functions that aren't obvious candidates for IT infrastructure outsourcing, which is precisely why they deserve your attention.

TL;DR

Most companies outsource IT to save money. That works, sometimes. But the real win? Getting your senior engineers off compliance paperwork and legacy system life support. I've seen teams reclaim 30-40% of their week just by outsourcing the stuff nobody wants to do anyway. The expertise gap is worse. You can't hire cloud migration specialists fast enough, and you definitely can't afford to keep them after the migration's done. Security compliance, legacy system maintenance, and disaster recovery consume internal resources without anyone noticing until something breaks or an audit reveals the gaps. The expertise required for cloud migration, multi-cloud management, and cybersecurity incident response is nearly impossible to build in-house at the speed modern businesses need to move. Start with what's draining your team, not what's draining your budget.

1. Security Compliance Gaps That Drain Resources

SOC 2 audits happen quarterly now, not annually.

Your team knows this because Jenna in IT spent 14 hours last week updating the incident response documentation that nobody's looked at since the last audit. She could've been fixing the authentication bug that's been in the backlog for three months. Instead, she's reformatting Word documents because auditors want consistent heading styles.

This is insane, and everyone knows it, but nobody has time to fix it.

Your internal team spends hours preparing for audits, tracking policy updates, and responding to compliance frameworks that change quarterly. Someone has to maintain the documentation templates. Someone has to know what auditors will ask before they ask it. Someone has to remediate findings and prove you've fixed them.

The benefits of outsourcing IT infrastructure in this area go beyond just having someone else handle the paperwork. You gain access to teams who eat, sleep, and breathe SOC 2, ISO 27001, HIPAA, or whatever framework your industry demands. They've already built the processes. They know the shortcuts that aren't really shortcuts but legitimate efficiency gains from doing this work hundreds of times.

When compliance becomes someone else's core competency, your team can stop playing defense and start building products. The mental overhead alone is worth considering. Your engineers won't spend Friday afternoons updating security documentation when they could be shipping features.

2. Legacy System Maintenance That Keeps You Stuck

Every company has that one system.

I'm talking about the inventory system running on Windows Server 2008 that processes $2M in daily orders. The one Marcus maintains because he's the only person left who understands the custom VBScript that holds it together.

Your senior engineers spend time patching, monitoring, and babysitting technology that should have been retired years ago. They know the system intimately because they've been fixing it for five years. That knowledge is valuable, but it's also a trap. Those engineers could be working on your modern stack, but instead they're keeping life support running on technology from 2012.

Outsourcing infrastructure maintenance for these legacy systems frees your best people from technical debt management. Specialized providers often have engineers who prefer working with older technologies. They've developed efficient maintenance protocols. They're not resentful about it because this is what they signed up for.

You're not abandoning the system. You're putting it in the hands of people who won't treat it like a career dead-end while your internal team focuses on the stack that matters for your future.

3. Disaster Recovery Planning No One Owns

When's the last time you tested your disaster recovery plan?

I'll wait.

If you said "last month," you're either lying or you're one of the 3% of companies who actually do this. Everyone else has a DR plan that was written in 2019, saved as "DR_Plan_FINAL_v3_ACTUAL_FINAL.docx," and hasn't been opened since.

The backups run. Probably. Nobody's checked in a while. The runbook references two engineers who don't work there anymore. And the backup site? The contract auto-renewed, but you're not 100% sure the credentials still work.

This is fine until it's very much not fine.

Your infrastructure team has other priorities. Your security team focuses on prevention. Your operations team handles day-to-day fires. Meanwhile, your DR plan (if it exists) hasn't been tested in 18 months, and you're not entirely sure the backup systems would actually work in a real emergency.

Outsourcing IT infrastructure management for disaster recovery means working with teams whose entire job is thinking about worst-case scenarios. They run regular failover tests. They maintain updated runbooks. They have relationships with the vendors you'd need in an actual disaster.

When something breaks at 3 AM, you want someone who's been through it before, not someone Googling solutions while your systems are down. The confidence that comes from knowing your DR plan is maintained by professionals who test it regularly is hard to quantify, but it's real.

4. Vendor Management Overhead You Can't Track

You're probably working with dozens of technology vendors. Cloud providers, SaaS platforms, hardware suppliers, software licensing, support contracts.

Each one has its own renewal cycle, pricing structure, and support process. Someone on your team tracks all this, but it's rarely their only job, and the administrative overhead is massive. They're managing spreadsheets, setting calendar reminders, and hoping they catch renewals before they auto-renew at list price.

Outsourced IT infrastructure providers consolidate vendor relationships and often have existing partnerships that come with better pricing and support terms. They handle renewals, negotiate contracts, and manage the support escalations that would otherwise eat up your team's calendar.

Hardware procurement is one of the messiest vendor categories to manage on your own, especially across regions. Our State of Global IT Hardware Procurement 2026 report breaks down what IT leaders are actually paying, where lead times are stretching, and how the top teams are consolidating supplier sprawl.

We wrote an entire guide on effective IT vendor management best practices because this problem is so common. Short version: consolidate vendors, negotiate everything, and stop letting contracts auto-renew at list price. The time savings alone justify the investment, but the cost optimization they bring through volume purchasing and vendor relationships adds another layer of value.

• Your mileage may vary. Some MSPs are terrible at this. Ask for references and actually call them.

5. Network Monitoring That Happens After Hours

Your network doesn't stop working at 5 PM, but your team does.

You might have on-call rotations, but those are reactive by nature. By the time someone gets alerted, investigates, and starts remediation, you've already lost uptime. Your on-call engineer is also probably exhausted from being woken up at 2 AM three times this week.

IT infrastructure outsourcing services that include 24/7 network monitoring mean you have eyes on your systems around the clock. These aren't just automated alerts. You're getting human analysis of patterns, proactive identification of potential issues, and immediate response when something goes sideways.

Your team can disconnect in the evenings without worrying that a network spike will turn into a full outage before anyone notices. The work-life balance improvement alone helps with retention, which is its own cost savings when you consider what it takes to replace a good engineer.

6. Hardware Refresh Cycles You Keep Postponing

Hardware refresh projects are expensive, disruptive, and easy to delay.

You know your servers are aging. You know that storage array is running at capacity. You know the switches in your data center are past their recommended lifespan. But the capital expenditure, the migration planning, and the potential downtime keep pushing the project to next quarter.

Next quarter becomes next year. Next year becomes "when we have budget." Meanwhile, you're running production workloads on hardware that's increasingly likely to fail.

Outsourcing infrastructure refresh cycles transfers both the capital burden and the execution risk. Providers work on predictable refresh schedules, handle the migration planning, and have tested processes for moving workloads with minimal disruption.

You get modern infrastructure without the project management headache or the budget spike that comes with doing it all at once. The refresh happens incrementally, systems stay current, and you avoid the panic of emergency replacements when something finally dies.

For a clearer view of how other teams are timing refresh cycles, retiring aging hardware, and right-sizing replacement budgets, our State of IT Lifecycle Management report shows where most IT teams lose time across the asset lifecycle and where the leaders are clawing it back.

7. Data Center Costs Hiding in Plain Sight

If you're still running your own data center (even a small one), you're paying for more than rack space and power.

There's cooling, physical security, redundant internet connections, fire suppression, access controls, and the staff time required to manage all of it. These costs are often distributed across multiple budget lines, making it hard to see the total expenditure. Facilities might pay for cooling. IT pays for the equipment. Security handles physical access. The CFO has no idea what the total cost actually is.

Hot take: If you're still running your own data center in 2024 and you're not a Fortune 500 company, you're either stubborn, uninformed, or your CFO can't do math.

I said what I said.

Outsourcing IT infrastructure to colocation providers or managed service providers consolidates these costs into a predictable monthly expense. You gain enterprise-grade facilities, redundant systems, and professional management without the overhead of running it yourself.

The transparency alone makes budgeting easier, but the cost reduction is usually significant once you add up everything you're currently spending. I've seen companies discover they were spending 40% more than they thought on data center operations because the costs were so fragmented.

The Expertise Gap No One Talks About

Hiring great IT talent is hard. Hiring specialists with deep expertise in emerging technologies is nearly impossible, especially if you're not in a major tech hub or can't compete with Big Tech salaries.

I'm not talking about basic IT support. I'm talking about specialized skills that require years of experience and constant learning. The kind of expertise that takes someone five years to develop and becomes outdated in three if they're not actively working in the field.

A good cloud migration specialist costs $175K to $220K in salary, plus equity, plus the $30K signing bonus you'll need to compete with AWS. For a project that takes 8 months. That's $180K for 8 months of work, then what? You've got a specialist with nothing to specialize in.

Outsourcing these functions isn't about cutting corners. It's about accessing expertise that would take you years to develop internally, if you could even find the people to hire.

8. Cloud Migration Skills You Can't Hire Fast Enough

Everyone's moving to the cloud, which means cloud migration specialists are in incredibly high demand.

These aren't general IT engineers. They're people who understand workload assessment, dependency mapping, migration tooling, and the specific quirks of moving different application types to cloud environments. They know which applications will migrate smoothly and which ones will cause problems. They've seen every edge case.

You need this expertise for maybe 6 to 12 months during your migration, then the skill requirements shift to cloud operations. Hiring full-time employees for a temporary need doesn't make sense. But running your migration without proper expertise leads to cost overruns, performance issues, and security gaps that you'll spend years fixing.

I've watched three startups burn through their Series A hiring "cloud migration specialists" who learned AWS by watching YouTube tutorials. The migrations took 18 months instead of 6. Two of those companies didn't make it to Series B.

Outsource IT infrastructure migration projects to teams who do this constantly. They have refined methodologies. They can move quickly because they've seen every edge case. Your migration happens faster, costs less, and you avoid the common mistakes that companies make when they're doing this for the first time.

9. Multi-Cloud Management Complexity

You're probably running workloads across multiple cloud providers (AWS, Azure, GCP) plus some on-premises infrastructure.

AWS has 237 services at last count, and I guarantee your team actively uses maybe 12 of them. But they still need to know about the other 225 because some product manager read a blog post about AWS Lambda and now you're supposed to evaluate "serverless architecture" for a project that's perfectly fine on EC2.

Each platform has its own management console, pricing model, security controls, and operational best practices. Your team needs to maintain expertise across all of them, which is a massive learning curve. AWS alone has over 200 services. Azure has its own ecosystem. GCP does things differently from both.

Expecting your team to be experts in all three is unrealistic. But you need workloads in different clouds for various reasons. Maybe AWS has the best machine learning tools. Maybe Azure integrates better with your Microsoft stack. Maybe GCP has better pricing for your specific workload.

Outsourcing infrastructure management for multi-cloud environments means working with engineers who specialize in this complexity. They know how to optimize costs across platforms, implement consistent security policies, and troubleshoot issues regardless of which cloud they occur in. You get the benefits of multi-cloud flexibility without needing to build expertise in every platform.

10. DevOps Pipeline Support Without the Headcount

Your development team wants faster deployment cycles, automated testing, and infrastructure as code. They've been asking for it for months.

Building and maintaining a modern DevOps pipeline requires specialized skills in CI/CD tools, container orchestration, configuration management, and automation frameworks. You could hire DevOps engineers, but good ones are expensive and hard to find. The salary expectations alone might blow your budget.

Outsourcing DevOps infrastructure support gives you access to engineers who build pipelines professionally. They implement best practices, maintain the tooling, and provide the support your developers need without you having to build an entire DevOps team.

Your developers get the automation they want. Deployment times drop from days to hours. You avoid the hiring competition for a skill set that's in massive demand. Everyone wins except the recruiters who were hoping to place a DevOps engineer with you at a 25% markup.

11. Database Administration for Niche Systems

Here's what actually happens when you don't have proper DBA support:

Your MongoDB cluster hits 85% memory usage on a Friday afternoon. Your backend engineer (who's great at Node.js but has never tuned MongoDB) starts Googling "mongodb high memory usage." He finds a Stack Overflow post from 2017. He tries the solution. The cluster crashes.

Now it's 6 PM Friday, your app is down, and your engineer is reading MongoDB documentation while your customers are tweeting about how your service is "unreliable."

A proper DBA would've seen this coming Tuesday, adjusted the working set size, and prevented the whole thing. But you don't have a DBA because the good ones want $180K and you can't justify that for one database.

This is a $50K per year problem (outsourced DBA support) that just cost you a $200K weekend (downtime, emergency fixes, customer churn, engineer burnout).

Do the math.

You might be running Oracle, SQL Server, PostgreSQL, MongoDB, or some combination of database systems. Each one requires specific expertise for performance tuning, backup management, high availability configuration, and troubleshooting. Finding a DBA who knows all your systems is unlikely. Hiring multiple DBAs for different platforms is expensive and hard to justify when each database only needs attention occasionally.

• If you have a genius DBA who loves Oracle, keep them. Bribe them. Whatever it takes. These people are unicorns.

Outsourcing database administration to specialists who focus on specific platforms gives you expert-level support without the full-time headcount. They handle routine maintenance, performance optimization, and emergency support when something breaks.

Your applications get the database performance they need. You avoid the cost of building a full DBA team. The specialists are happy because they get to work on the databases they love instead of being generalists who know a little about everything.

12. Cybersecurity Incident Response Teams

You hope you'll never need incident response capabilities, but when a security event happens, you need experienced people immediately.

I've taken calls from CTOs at 3 AM who are crying. Actually crying. Their infrastructure is down, they don't know why, and their CEO is forwarding customer complaint emails with subject lines like "Is this company even real?"

These aren't bad CTOs. They're good people who tried to build everything in-house because that's what you're "supposed" to do as a tech company. They hired smart people. They worked hard. And now they're on a call with me, exhausted and scared, asking if I know anyone who can help.

This is what happens when you treat infrastructure like a problem you can solve by hiring one more engineer.

Building an internal incident response team means paying for expertise you might rarely use. Those team members need something to do during normal operations, which means they're probably not as sharp on incident response as teams who handle breaches regularly. Skills atrophy when you're not using them.

Outsourcing cybersecurity incident response gives you access to teams who've handled hundreds of incidents. They know how to contain threats, preserve evidence, coordinate with law enforcement if needed, and get you back to normal operations.

You're paying for readiness and expertise that's there when you need it, without the overhead of maintaining it full-time. When ransomware hits at 3 AM on Saturday, you want someone who's dealt with that exact strain before, not someone reading the vendor documentation while your systems are encrypted.

13. IT Service Desk Scaling During Growth Spurts

Your company is growing. You're hiring quickly, opening new locations, or experiencing seasonal spikes in activity.

Your IT service desk is suddenly overwhelmed with onboarding requests, support tickets, and access provisioning. The ticket queue is growing faster than you can close tickets. New employees are waiting days for equipment and access. The team is stressed and starting to burn out.

Hiring more service desk staff takes time. You need to post the job, screen candidates, interview, make offers, wait for notice periods, and then train them. By the time you get them productive, the spike might be over. Then what do you do with the extra headcount?

Organizations experiencing rapid growth often struggle with the cost of onboarding a new employee, making scalable IT service desk support essential for maintaining efficiency.

Outsourcing service desk operations provides elastic capacity that scales with your needs. You can ramp up support during growth periods and scale back when things stabilize. The outsourced team handles tier 1 support, follows your processes, and escalates complex issues to your internal team. You maintain service levels without the hiring and training overhead.

14. Enterprise Architecture Planning You're Winging

Enterprise architecture isn't just drawing diagrams. It's about making technology decisions that align with business goals, evaluating trade-offs, and planning infrastructure that can scale with your growth.

This requires experience across multiple industries, deep technical knowledge, and thinking several moves ahead. Most companies don't have dedicated enterprise architects, so these decisions get made ad hoc by whoever has time. The CTO makes a call in a meeting. The infrastructure lead picks a direction based on what they know. Nobody has the full picture.

I'm not sure outsourcing enterprise architecture makes sense for companies under 100 employees. The math gets fuzzy. You might not need formal architecture planning yet. It might not. Depends on your complexity, your growth rate, your risk tolerance.

Outsourcing enterprise architecture planning brings in consultants who've designed infrastructure for dozens of companies. They ask the right questions, identify risks you haven't considered, and provide frameworks for making decisions. They've seen what works at your scale and what breaks when you grow.

You get guidance without hiring a senior architect full-time. The consultant engagement might last a few months, but the architecture they help you build lasts years. That's a much better ROI than hiring someone who might leave after 18 months, taking all that institutional knowledge with them.

The Flexibility You're Missing

Business agility that's nearly impossible with purely internal IT teams becomes achievable when you have outsourced infrastructure capabilities.

Quick poll: How many times this year has the business wanted to do something and IT said "we'll need six months to build the infrastructure first"?

Show of hands?

Yeah, that's what I thought.

These aren't everyday operational needs. They're the scenarios that emerge when you're expanding, adapting to market changes, or pursuing opportunities that require infrastructure support you don't currently have. The value here isn't operational efficiency. It's about enabling business moves that would otherwise be too slow or too risky to pursue.

Your competitors are moving fast. They're entering new markets, scaling for seasonal demand, and integrating acquisitions while you're still figuring out how to support these moves with your current IT team.

15. Geographic IT Support Without Opening Offices

You're expanding into new markets or hiring remote employees in different time zones.

They need IT support during their business hours, which might be the middle of the night for your headquarters. Your team in California can't effectively support employees in Singapore without someone being awake at 2 AM. On-call rotations help, but they're not sustainable long-term.

Opening satellite IT offices is expensive and slow. You need office space, local hiring, equipment, and management oversight. By the time you build the capability, the business opportunity might have passed.

Companies scaling globally need to understand how to manage a distributed team while providing consistent IT support across time zones and geographies.

Outsourcing IT infrastructure support to providers with global coverage means you can offer local support without building local teams. Your employees in Singapore, London, or São Paulo get help during their workday from people who speak their language and understand local infrastructure requirements.

You enable geographic expansion without the overhead of replicating your IT organization in every location. The business can say yes to opportunities instead of waiting for IT to catch up.

For a real-world example, see how Upwork centralized device logistics across 30+ countries without standing up local IT teams. Their playbook is a useful reference if you're trying to scale international support without ballooning headcount.

16. Seasonal Infrastructure Scaling

Your business has predictable seasonal spikes. Retail companies have holiday rushes. Tax software companies peak in spring. Educational institutions have enrollment periods.

Your infrastructure needs to handle 3x or 5x normal load for a few months, then scale back down. Building for peak capacity means you're paying for unused infrastructure most of the year. Those servers sit idle for nine months, consuming power and taking up rack space.

Cloud computing helps, but someone still needs to manage the scaling, optimize the configurations, and ensure everything performs under load. Your team is already busy maintaining normal operations.

Outsourcing infrastructure management with flexible capacity agreements lets you scale up for peak periods and scale back during slower months. You pay for what you use, maintain performance during critical periods, and avoid the capital expenditure of building for worst-case scenarios. IT infrastructure outsourcing for seasonal businesses is about matching costs to revenue patterns instead of maintaining expensive overhead year-round.

17. Mergers and Acquisitions IT Integration

You're acquiring another company or merging with a competitor.

You suddenly need to integrate two completely different IT infrastructures, migrate users, consolidate systems, and maintain operations for both organizations during the transition. The acquired company is running different tools, different cloud providers, different security policies. Everything is incompatible.

Your internal team is already busy keeping current systems running. Adding a massive integration project on top of their existing workload is a recipe for burnout and mistakes. Someone's going to quit. Something's going to break. The business timeline won't wait for IT to figure it out.

Outsourcing M&A infrastructure integration brings in teams who specialize in these complex, time-sensitive projects. They've done dozens of integrations. They know the common pitfalls. They can move quickly without disrupting either business.

The integration happens faster, with fewer issues, and your internal team can stay focused on supporting the business rather than managing a massive one-time project. Six months from now, when the integration is complete and the consultants are gone, you'll be glad you didn't try to do this yourself.

18. Proof of Concept Environments

You want to test new technologies, evaluate different platforms, or build proof of concept environments for potential projects.

Setting up these environments internally requires infrastructure, configuration time, and ongoing management. By the time you get everything set up, you might have already decided the technology isn't right for you. Then you've wasted all that setup time for nothing.

Your team also gets attached to the technologies they build. If they spend two weeks setting up a Kubernetes cluster for testing, they're psychologically invested in using Kubernetes whether or not it's the right choice. The sunk cost fallacy is real.

Outsource IT infrastructure for proof of concept work and you get rapid access to test environments without committing internal resources. Providers can spin up environments quickly, give you access to try things out, and tear everything down when you're done.

You can evaluate more options faster, make better technology decisions, and avoid investing in infrastructure for projects that might not move forward. The speed advantage alone changes how you approach technology evaluation.

19. Regulatory Compliance Across Jurisdictions

You're operating in multiple countries or regions, each with its own data sovereignty requirements, privacy regulations, and compliance frameworks.

GDPR in Europe, CCPA in California, LGPD in Brazil, and dozens of other regional requirements create a compliance maze. Your infrastructure needs to support data residency requirements, implement region-specific security controls, and maintain audit trails that satisfy different regulatory bodies.

Understanding IT compliance standards across different jurisdictions is critical when expanding operations internationally.

Your internal team can't possibly maintain expertise in every jurisdiction's compliance requirements. The regulations change constantly. What was compliant six months ago might not be compliant today. Keeping up with these changes while also managing infrastructure is overwhelming.

Outsourcing IT infrastructure to providers with multi-region expertise means working with teams who understand these requirements. They maintain infrastructure in compliant configurations, handle the documentation, and adapt to regulatory changes. You can operate globally without building internal expertise in every jurisdiction's compliance requirements.

Full disclosure: this is part of why we built GroWrk. After watching companies nail their cloud strategy but fumble laptop deployments to 47 countries, we figured someone should handle the hardware side. Turns out "ship a MacBook to Singapore" is harder than "migrate to AWS." Who knew?

Our providing equipment for remote workers solution ensures your distributed team has the hardware they need, regardless of location. When you're scaling globally, managing device procurement, configuration, deployment, and retrieval across dozens of countries becomes its own infrastructure challenge. We handle the entire lifecycle, so you can focus on the decisions that matter while we manage the physical equipment your team needs to do their work.

When Outsourcing IT Infrastructure Backfires (And It Will)

Let me tell you about the three ways this goes wrong:

You outsource something you actually needed to control. Company outsources their entire DevOps pipeline to save money. Six months later, they can't ship features without filing tickets with their MSP. Deployment time goes from 2 hours to 2 days. They end up rebuilding the internal team anyway.

You pick the wrong partner. Cheapest bid wins. The provider is offshore, doesn't understand your business, and their "senior engineers" have 18 months of experience. You spend more time managing them than you would've spent doing it yourself. (I learned this by being the cheapest bid once. Never again.)

You don't maintain any internal expertise. You outsource everything related to AWS. Two years later, you have zero internal knowledge of your own infrastructure. The MSP has you by the throat on pricing because switching would require building expertise from scratch.

I've seen all three. Multiple times.

How to Actually Start Outsourcing (Without Screwing It Up)

Here's the playbook:

Week 1: Make your team track their time. Every hour, what they worked on. Not for performance review, for visibility. You need to know what's eating their calendar.

Week 2: Categorize the work. Bucket everything into: (1) Builds your product, (2) Keeps lights on, (3) Compliance and admin, (4) Could break things if done wrong.

Week 3: Find the overlap. What's in buckets 2, 3, AND 4? That's your outsourcing target. High effort, low differentiation, high risk if you mess it up.

Week 4: Talk to three providers. Not to buy, to learn. What do they think you should outsource? What do they think you should keep? The good ones will tell you to keep some stuff in-house.

Month 2: Pilot with something small. Don't outsource your entire infrastructure. Outsource after-hours monitoring. Outsource tier-1 support. Outsource database backups. Something contained where failure won't kill you.

Month 3 to 6: Measure everything. Is your team actually getting time back? Are they working on better stuff? Is quality improving? If not, either the provider sucks or you outsourced the wrong thing.

Month 6+: Expand or bail. If it's working, outsource more. If it's not, bring it back in-house and try something else. Don't fall for sunk cost fallacy.

Unpopular Opinion: Some Companies Should Never Outsource

If you're a 12-person startup, outsourcing your IT infrastructure is probably overkill. You need one good generalist who can handle everything, not a managed service provider with a 47-page SLA.

If your entire competitive advantage IS your infrastructure (you're building infrastructure tools, you're a hosting company, you're competing on performance), outsourcing is suicide.

If you're in a highly regulated industry with custom compliance requirements that change based on your specific business model, most MSPs won't understand your needs well enough to help.

The companies that should outsource are the ones where infrastructure is necessary but not differentiating. If your customers don't care how you host your app, outsource it. If your infrastructure IS your product, don't.

Final Thoughts

Here's what I actually tell people who ask about outsourcing IT infrastructure:

Start with the stuff your team complains about at lunch. Not the budget items your CFO hates, the tasks that make your engineers update their LinkedIn profiles. That's usually compliance work, legacy system maintenance, or vendor management. Outsource that first.

Then look at what you can't hire. If you've had a cloud migration specialist req open for 4 months, you're not going to fill it. Outsource the project.

Finally, and this is where people screw up, don't outsource everything. Keep the stuff that makes your business different. Keep the engineers who understand your product. Keep the infrastructure decisions that affect your customers.

Outsource the rest.

I've watched companies try to outsource their entire IT operation to "focus on core business." Half of them spent the next year fighting with their MSP about who's responsible for what. The other half built internal teams anyway because they outsourced stuff they actually needed to control.

The goal isn't to have zero IT staff. The goal is to have IT staff who work on problems that matter to YOUR business specifically, not problems that every company has.

What's your team spending time on that has nothing to do with your actual product?

Start there.