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Infrastructure as a Service: A Growing Force in Cloud Computing
Infrastructure as a service (IaaS) offers a flexible, scalable, and cost-efficient solution to simplify the complexity of managing IT infrastructure....
12 min read
Published: August 5, 2024 Updated: October 12, 2026
Infrastructure as a service (IaaS) is a cloud model where a provider rents out servers, storage, and networking on demand. A business pays for computing capacity as it uses it instead of buying and maintaining its own hardware. Amazon EC2, Azure Virtual Machines, and Google Compute Engine are the best-known examples.
The National Institute of Standards and Technology (NIST) wrote the definition most of the industry still works from. In Special Publication 800-145, NIST describes IaaS this way:
“The capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, and deployed applications; and possibly limited control of select networking components (e.g., host firewalls).”
Small businesses often skim the second sentence of that definition, but it has the most practical implications. With IaaS, you don’t own the hardware, but you still own almost everything that runs on it.
One related term, “Managed infrastructure services,” can cause confusion. Managed infrastructure services usually means an IT provider running your infrastructure for you, wherever it lives, while IaaS is the rented infrastructure itself. Many small businesses end up using both.
Every IaaS platform starts with physical hardware, such as racks of servers, storage arrays, and network equipment in data centers the provider owns and operates. A software called a hypervisor is layered on top of that hardware and divides each physical machine into isolated virtual machines (VMs). The provider pools those resources across thousands of machines and makes them available through a web portal and an API.
Your business only sees the top of that stack. An IT lead signs in to the Azure portal, picks a region (South Central US, in San Antonio, is the closest Azure region to Dallas), chooses a VM size with a set number of processor cores and amount of memory, attaches a disk, connects it to a virtual network, and clicks create. A few minutes later there’s a working Windows or Linux server. Nobody had to issue a purchase order, wait on shipping, or find rack space. When the server is no longer needed, it can be shut down or deleted, and compute charges for it to stop.
Compute is delivered as virtual machines sized by processor, memory, and in some cases graphics processors (GPUs). You choose the operating system and install the software you need.
Storage comes in two main forms. Block storage, such as Azure Managed Disks, behaves like a hard drive attached to a server and holds operating systems and databases. Object storage, such as Azure Blob Storage, holds large volumes of files, backups, and archives, and is priced by the gigabyte stored and the number of transactions.
Networking includes the virtual networks that keep your servers isolated from other customers, the firewall rules that control traffic in and out, VPN gateways that connect the cloud to your office, and load balancers that spread traffic throughout multiple servers.
IaaS is billed by consumption. A running VM is charged by the hour or second, storage by the gigabyte per month, and data leaving the provider’s network by the gigabyte. Providers also sell reserved capacity. If you commit to a VM size for one or three years, the rate drops in exchange for that commitment.
The financial effect is a shift from capital spending to operating spending. You stop buying a server every five years and depreciating it, and you start paying a monthly bill that rises and falls with usage.
That flexibility comes with variability. The bill changes month to month because usage does. Usage can vary when there’s a test server left running over a holiday weekend, a backup set that grew, or a month with heavier data downloads. Whether IaaS costs less than owning hardware depends on the workload and how carefully the environment is run, so we treat cost as something to design for from the start.
The three cloud service models differ in how much of the technology stack the provider runs for you. Most small businesses already use all three without calling them by name, and Microsoft’s own products make the clearest comparison. Azure Virtual Machines is IaaS. You rent a server and manage everything from the operating system up. Azure App Service is PaaS (platform as a service). You deploy an application, and Microsoft runs the servers, operating system, and runtime underneath it. Microsoft 365 is SaaS (software as a service). You sign in and use Outlook, Teams, and SharePoint while Microsoft runs the entire application.
|
Layer |
On-premises |
IaaS |
PaaS |
SaaS |
|
Data center, power, physical hardware |
You |
Provider |
Provider |
Provider |
|
Virtualization (hypervisor) |
You |
Provider |
Provider |
Provider |
|
Operating system and patching |
You |
You |
Provider |
Provider |
|
Runtime and middleware |
You |
You |
Provider |
Provider |
|
Applications |
You |
You |
You |
Provider |
|
Data, user accounts, and access |
You |
You |
You |
You |
|
Microsoft example |
Server in your office |
Azure Virtual Machines |
Azure App Service |
Microsoft 365 |
Moving left to right, you manage less and can customize less. Under Microsoft’s shared responsibility model, the customer is always responsible for its data, accounts and identities, and the devices that connect to them, including in SaaS.
The most widely used IaaS products are Amazon EC2 from AWS, Azure Virtual Machines from Microsoft, Google Compute Engine from Google Cloud, and IBM Cloud Virtual Servers.
AWS, Microsoft Azure, and Google Cloud each sell PaaS and SaaS alongside IaaS, so saying “we're on Azure” doesn’t tell you which model a business is using. A company running a file server on an Azure VM is using IaaS. The same company hosting a customer portal on Azure App Service is using PaaS. For businesses already standardized on Microsoft 365, Azure Virtual Machines is usually the natural place to start, since identity, security tools, and licensing all tie back to the same Microsoft environment.
Security in IaaS is split between the provider and the customer, and most problems start at the line between the two.
Cloud providers secure the physical layer, including the data center buildings, the hardware, the network backbone, and the hypervisor that keeps your VMs separate from everyone else’s. Microsoft, AWS, and Google invest heavily there, and they’re good at it.
Everything above the hypervisor belongs to you. That includes the operating system and its patches, who can sign in and with what permissions, how firewalls and network rules are set, whether data is encrypted and backed up, and whether anyone notices an alert at 2 a.m. A VM running an unpatched operating system, or an administrator account without multifactor authentication (MFA), is exposed no matter how well the data center beneath it is protected. When we’re brought in to look at a cloud environment that has run into trouble, the cause is almost always a configuration or access mistake on the customer side.
|
Responsibility |
Cloud provider |
Your business |
What a managed provider can take on |
|
Data centers, physical servers, hypervisor |
Owns it |
Nothing to manage |
Nothing; this stays with the provider |
|
Operating system and patching |
Not covered |
Owns it |
Patch schedules, testing, and reporting |
|
Identities and access (Entra ID, MFA, conditional access) |
Provides the tools |
Owns configuration |
MFA enforcement, conditional access policies, regular access reviews |
|
Network configuration (firewall rules, VPN) |
Provides the tools |
Owns configuration |
Network design and change control |
|
Backups and data protection |
Provides storage and options |
Owns policy and testing |
Backup policy, encryption, immutable copies, restore tests |
|
Monitoring and incident response |
Platform-level alerts only |
Owns response |
24/7 monitoring, triage, and response |
|
Compliance evidence |
Provides its own audit reports |
Owns accountability |
Documentation for audits, regulators, and cyber insurance renewals |
Accountability for your data never transfers to anyone else, even when a partner handles the work. Before moving workloads into IaaS, a cloud security assessment shows where your current configuration stands against each row of that table.
Few small businesses adopt IaaS because they set out to “move to the cloud.” Usually a specific event forces a decision.
The most common entry point is a server refresh. The warranty on the server in the back room is about to lapse, its operating system is nearing end of support, and you’ve generated a quote for replacement hardware. That’s the right moment to ask whether those workloads need a physical box in your office at all.
Line-of-business applications, file shares that haven’t moved to SharePoint, and database-backed accounting or ERP systems are typical candidates for Azure VMs. Moving them hands the hardware lifecycle to Microsoft and lets you size each server to what it actually uses, so you don’t have to buy for what you might need five years from now. Our guide to cloud migration for small business covers how to plan and sequence that transition.
Real disaster recovery used to require a second office or space in a colocation facility filled with duplicate hardware. IaaS removes that requirement. Backups can go to geo-redundant storage that’s automatically copied to a second region hundreds of miles away, and critical servers can be brought back up in Azure if your office loses power, floods, or is hit by ransomware. Immutable backups, which can’t be changed or deleted for a set retention period, protect against attackers who go after backups before anything else. For North Texas businesses that plan around severe storm season every spring, having recovery capacity outside the region is worth a lot.
Azure Virtual Desktop runs Windows desktops and applications on Azure VMs and streams them to employees wherever they’re working. Company data stays in the cloud rather than on individual laptops, new hires can be set up quickly, and an older or personal device can reach the same secure desktop as an office workstation. It works especially well for teams that depend on a desktop application that performs poorly over VPN, and it’s often one part of a broader hybrid cloud setup.
Some workloads only need capacity part of the year, such as tax season at an accounting firm, month-end reporting, or a copy of a key application for testing before an upgrade. With IaaS, you add servers for the weeks you need them and turn them off afterward. A test environment that could never justify its own hardware purchase can exist for an afternoon and cost very little.
IaaS isn’t the right answer for every workload, and a provider who says otherwise is selling rather than advising. Four situations come up often.
The first is when the real need is SaaS. If what you need is email, file sharing, and collaboration, Microsoft 365 already handles it. Building a mail server or file server on an Azure VM to reproduce what SaaS does natively means paying for infrastructure and taking on patching work you don’t need.
The second is when nobody will manage the servers. An Azure VM needs the same care as a physical server, including patches, backups, security monitoring, and someone watching alerts. If no one on your team has the time or skills for that, and you don’t have a partner who does, moving servers to IaaS relocates the risk without reducing it.
The third is when the hardware is paid for and the workload is steady. A server bought a few years ago that runs a predictable workload, is under warranty, and is in good health may cost less to keep than to replace with a VM you pay for every month. IaaS pays off when demand varies, hardware is aging, or recovery requirements are rising. A stable, paid-off server without those pressures can reasonably wait for its next refresh cycle.
The fourth is when certain workloads need to remain operational even without an internet connection. This is especially important for manufacturing businesses that rely on real-time access to production systems and data. If an internet outage could disrupt operations, keeping critical infrastructure on-premises may be the better choice. A hybrid approach can provide the flexibility of cloud services while keeping essential systems accessible locally.
Cost is the other common reason IaaS disappoints. Flexera surveyed 753 IT and cloud practitioners in late 2025 for its 2026 State of the Cloud report, and respondents estimated that 29% of their IaaS and PaaS spending is wasted, ending a five-year decline, which Flexera links to added cost complexity from AI and new PaaS and SaaS services. Even though the survey respondents skew toward larger organizations, the causes behind that wasted spending appear in companies of every size.
Servers sized for peak and left running are the most frequent problem. A VM sized for the busiest day of the year and running around the clock bills at that size every hour. Right-sizing VMs and scheduling shutdowns for servers that aren’t used overnight brings that down.
Orphaned disks and snapshots are next. Deleting a VM doesn’t always delete its disks, snapshots, or public IP addresses, and those keep billing until someone finds them.
Egress charges can catch people off guard. Moving data into Azure is generally free, but moving it out costs money. Workloads that send large amounts of data back to the office or out to the internet can generate unexpected charges.
Licensing is the last common surprise. Windows Server and SQL Server licensing on cloud VMs works differently than on owned hardware. Some existing licenses can carry over through Azure Hybrid Benefit, while others are billed into the hourly rate. Mistakes in either direction cost money or create compliance exposure.
All of these are manageable with resource tagging, budgets, spending alerts, and a regular monthly review. For a closer look, see how to keep cloud costs under control.
AI is now the fastest-growing part of the IaaS market. In an August 10, 2026 forecast, Gartner projected that total worldwide IaaS spending will reach $287.3 billion in 2026, up from $222.2 billion in 2025. Within that total, spending on AI-optimized IaaS is expected to climb from $21.5 billion in 2025 to $42.3 billion in 2026, which is GPU-heavy infrastructure built for training and running AI models. Gartner also expects 2026 to be the year that spending on inference workloads, at $23.3 billion, overtakes spending on training, at $19 billion. In other words, more of the money is going toward running AI in daily use than toward building new models.
Most small businesses will feel that growth indirectly. They’ll use AI through SaaS tools like Microsoft 365 Copilot, where Microsoft runs all the infrastructure and nobody on your side provisions a GPU. IaaS becomes relevant when a business wants to pull data from several systems into a single data platform, run a custom model against its own records, or support GPU-heavy work such as engineering design or large-scale analytics. Even then, Azure’s managed AI services are often a better fit than renting raw GPU VMs. For most small businesses, the better preparation is getting data permissions and identity controls in order, since those determine what any AI tool can see.
Buying Azure capacity takes a credit card and a few minutes. Running it well takes ongoing work, and the team managing it makes a difference.
|
Responsibility |
Doing it yourself |
Managed IaaS |
|
Environment design (networks, sizing, regions) |
Your team learns and designs it |
Designed by engineers who build these environments regularly |
|
Operating system patching |
Scheduled and tested in-house |
Handled on a set schedule with reporting |
|
Security alerts |
Someone on staff watches the portal |
Monitored around the clock with defined response |
|
Backups and restore testing |
Configured and tested by your team |
Policy-driven, with documented restore tests |
|
Licensing and billing |
Bought through Microsoft or a reseller |
Bundled with support through a direct Microsoft partner |
|
Cost reviews |
Done when someone has time |
Reviewed monthly against usage |
|
Incident response |
Your team, plus Microsoft support tickets |
A response team that already knows your environment |
|
Compliance documentation |
Assembled before each audit or renewal |
Maintained continuously |
Doing it yourself can work well for a business with an experienced in-house IT team that has the time to own each of these rows. Many growing businesses have one or two IT people who are already stretched, and a co-managed arrangement that splits responsibilities between internal staff and an outside partner is often a smart middle ground.
If you’re evaluating managed cloud services, ask any provider for evidence of how it handles security, because once a partner manages your infrastructure, its security practices become part of yours. At Sagiss, we’re a direct Microsoft Cloud Solution Provider, so we buy licenses from Microsoft without a distributor in between and can escalate support issues to Microsoft directly. We’ve completed an independent SOC 2 Type II examination every year since 2017, we hold MSP Cyber Verify certification through the MSPAlliance, and our security program is overseen by CISSP-certified leadership. Our team is based in Dallas, and we don't use offshore or contract labor.
Not sure where your workloads belong? A free IT assessment will show you which workloads belong in IaaS and which don’t.
AWS sells both, so the answer depends on the product. Amazon EC2 is IaaS. You rent virtual servers and manage the operating system and everything above it. AWS Elastic Beanstalk is PaaS. You upload application code and AWS handles the servers and runtime. Microsoft Azure works the same way, with Azure Virtual Machines as IaaS and Azure App Service as PaaS. The provider name alone doesn’t tell you the service model.
No. Microsoft 365 is software as a service (SaaS). Microsoft runs the servers, operating systems, and applications behind Outlook, Teams, SharePoint, and OneDrive, and your business signs in and uses them. You don’t manage any infrastructure. You are still responsible for user accounts, access settings, and your data, which is why MFA and permission reviews matter even in SaaS.
The infrastructure is well protected. Microsoft, AWS, and Google secure their data centers, hardware, and hypervisors to a high standard. The security of what runs on that infrastructure depends on you: operating system patches, identity and access controls, network rules, encryption, and backups. Most IaaS security problems come from configuration and access mistakes on the customer side, so plan for who will own those responsibilities before you migrate.
Managed IaaS means an IT provider designs, secures, and runs your IaaS environment for you. You still get Azure or AWS infrastructure, but the provider handles patching, monitoring, backups, cost reviews, and incident response. Buying Azure capacity directly gives you infrastructure only. Managed IaaS adds the people and processes needed to operate it safely, which matters most for businesses without a dedicated cloud team.
You have options, and moving everything at once isn’t required. Servers near end of life can be retired once their workloads move. Newer servers can be repurposed for local needs or kept in a hybrid setup, with some workloads in the office and others in Azure. Many small businesses migrate in stages, starting with backup or a single aging server, and move other workloads at their own natural refresh points.
IaaS is the service: rented servers, storage, and networking. Infrastructure as code (IaC) is a method for setting up that infrastructure using scripts or templates instead of clicking through a portal. IaC makes environments repeatable and easier to audit, and it’s commonly used with IaaS, but one is the platform and the other is a way of configuring it.
IaaS gives small businesses access to the same infrastructure large enterprises run on, without the hardware purchases, server rooms, or refresh cycles. It also moves real responsibility onto your team: securing what you deploy, managing costs that change month to month, and deciding which workloads belong there in the first place. Getting those decisions right matters more than how quickly you move.
If you're facing a server refresh, rethinking disaster recovery, or trying to make sense of a cloud bill, Sagiss provides managed cloud services for Dallas businesses that cover design, security, and day-to-day operations. Start with a free IT assessment to find out which of your workloads belong in IaaS and which are better left where they are.
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