IT Infrastructure

Guide to Cloud Infrastructure as a Service (IaaS)

Cloud Infrastructure as a Service (IaaS)
$777B

Global public cloud market projected by 2028 (SRG Research)

3x

Faster time-to-deploy vs. on-premises hardware provisioning

31%

Average operational cost reduction in Gart-managed IaaS migrations

67%

of enterprise workloads now running in the cloud (Gartner, 2025)

Imagine having access to a vast pool of computing resources – servers, storage, networking equipment – that you can tap into whenever you need them, all delivered over the internet. This is the core concept behind Infrastructure as a Service (IaaS).

IaaS is a cloud computing model that provides on-demand access to these fundamental building blocks of IT infrastructure. Instead of physically owning and maintaining your own data center, you rent these resources from a cloud provider like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

With IaaS, you get the resources you need to run your applications and data without the burden of upfront costs, maintenance, and constant upgrades. At its core, IaaS operates on a pay-as-you-go or subscription-based model, allowing businesses to dynamically scale their IT infrastructure up or down based on current needs. This frees you to focus on your core business functions while the cloud provider takes care of the underlying infrastructure.

IaaS serves as the foundation layer in the cloud computing stack, sitting below Platform as a Service (PaaS) and Software as a Service (SaaS). Its primary role is to offer maximum flexibility and control over IT resources while shifting the responsibility of maintaining physical infrastructure to the cloud provider.

SaaS vs. PaaS vs. IaaS: What's the Difference and How to Choose

What Is Cloud Infrastructure as a Service (IaaS)?

IaaS is the lowest layer of the cloud computing stack. It virtualizes the physical building blocks of a data center — compute, storage, and networking — and delivers them as on-demand services over the internet. Unlike Platform as a Service (PaaS) or Software as a Service (SaaS), IaaS gives you maximum control: you manage the operating system, runtime, middleware, and applications. The cloud provider manages the physical hardware, hypervisor, and data center.

Cloud Infrastructure as a Service (IaaS) is the model that lets engineering teams provision servers, storage, and networking on demand — without owning a single rack. You rent virtualized compute and storage from a provider like AWSMicrosoft Azure, or Google Cloud, and pay only for what you use.

For CTOs and infrastructure leaders, IaaS is more than a procurement model — it is a strategic shift in how organizations control their IT infrastructure. Done right, it eliminates capital expenditure on hardware, cuts time-to-deploy from weeks to minutes, and gives engineering teams the elasticity to match infrastructure to real workload demand.

This guide goes beyond the basics. We cover how IaaS fits into a modern cloud stack, how to choose the right provider and architecture, security responsibilities, cost governance, and the migration roadmap that actually works — based on Gart Solutions’ experience delivering cloud infrastructure across SaaS, fintech, and enterprise clients.

ModelWhat You ManageWhat Provider ManagesBest For
IaaSOS, middleware, runtime, apps, dataServers, storage, networking, virtualizationDevOps teams, custom stacks, migration lift-and-shift
PaaSApps and data onlyOS, runtime, middleware + hardwareDevelopers wanting managed runtimes (Heroku, App Engine)
SaaSConfiguration and usage onlyEverythingEnd-user applications (Salesforce, Slack, Office 365)

IaaS operates on either a pay-as-you-go or reserved-capacity model. Resources can be provisioned via API, CLI, Terraform, or web console — typically in under five minutes. This on-demand model fundamentally changes the economics and speed of infrastructure: teams stop waiting for hardware procurement cycles and start shipping.

Related: IT Infrastructure Components: What Every Engineering Leader Needs to Know

Traditional On-Premises Infrastructure vs IaaS

Traditionally, businesses have relied on on-premises infrastructure where all computing resources, including servers, storage devices, and networking equipment, are owned, operated, and maintained within the organization’s physical premises. This approach requires substantial upfront capital investment and ongoing operational costs to manage hardware, software updates, and security measures.

The shift from on-premises to cloud infrastructure as a service is not simply a technology change — it restructures cost models, operational responsibilities, and organizational risk. Here is how the two approaches compare across the dimensions that matter most to CTOs and engineering leaders:

DimensionOn-PremisesIaaS
Cost modelHigh CAPEX — servers, racks, cooling, power, real estateOPEX — pay for consumption; no idle hardware cost
Time to provisionDays to weeks (hardware procurement, racking, cabling)Minutes via API or console
ScalabilityRequires pre-planning and lead timeAuto-scaling in real time to match demand
MaintenanceFull internal responsibilityProvider handles physical layer; team manages above OS
Disaster recoveryCostly secondary site; complex RTO/RPO planningMulti-AZ and multi-region built in; snapshots automated
SecurityFull control and full responsibilityShared responsibility model (provider: hardware/hypervisor; customer: OS upward)
ComplianceEasier data locality controlProvider certifications (SOC 2, ISO 27001, HIPAA) + customer-side controls
Resource utilizationTypically 15–30% average utilizationPay only for consumed resources; right-sizing eliminates waste
Innovation velocityConstrained by hardware refresh cyclesAccess to managed AI, GPU, Kubernetes, serverless instantly
Traditional On-Premises Infrastructure vs IaaS

Related: Cloud vs. On-Premises: A CTO’s Decision Guide

Traditional On-Premises Infrastructure vs IaaS

In contrast, cloud Infrastructure as a Service (IaaS) represents a paradigm shift by offering a more flexible and scalable alternative to on-premises infrastructure. With IaaS, organizations can access and utilize virtualized computing resources hosted and managed by third-party providers through the internet.

Key Takeaway: On-premises wins on control and data sovereignty. IaaS wins on speed, elasticity, and cost structure. Most engineering leaders we work with choose IaaS for net-new workloads and a phased hybrid approach for legacy systems.

Benefits of Cloud Infrastructure as a Service

1. Cost Structure That Aligns with Business Reality

On-premises infrastructure requires capital expenditure whether or not those resources are actively used. IaaS converts this to operational expenditure: you pay for actual consumption. Teams eliminate costs for idle servers, underutilized storage, and hardware that sits at 20% utilization between peak events.

31%Average reduction in infrastructure operational costs Gart clients achieve in the first year after migrating to IaaS. For one fintech client, migration to AWS with zero downtime cut operational costs by 31% while improving uptime to 99.97%.

2. Elastic Scalability Without Lead Time

Auto-scaling groups on AWS EC2, Azure VM Scale Sets, or GCP Managed Instance Groups let compute capacity track real workload demand automatically. A Kubernetes cluster processing 10 million API requests daily can scale from 20 to 200 nodes in response to a traffic event — and scale back to 20 within minutes when load subsides. On-premises infrastructure cannot do this without pre-provisioning resources you pay for year-round.

3. Faster Deployment and Iteration

Infrastructure provisioning that once took three to six weeks (hardware procurement, racking, OS install, network configuration) now takes under ten minutes with Terraform or CloudFormation. DevOps teams can spin environments for development, staging, and production programmatically, eliminating bottlenecks in the software delivery pipeline.

4. Built-In Disaster Recovery

Major IaaS providers operate multiple availability zones and regions. Disaster recovery that once required a secondary data center at significant cost is now achievable through automated cross-region replication, snapshot policies, and failover routing — all managed through APIs. Recovery time objectives (RTO) measurable in minutes rather than hours become achievable.

5. Access to Advanced Managed Services

IaaS is the foundation, but modern providers offer a catalog of managed services on top: managed Kubernetes (EKS, AKS, GKE), GPU instances for AI workloads, managed databases, observability tooling, and security services. Teams can consume enterprise-grade capabilities without the overhead of building and maintaining them internally.

6. Global Reach

AWS operates 33 geographic regions, Azure 60+, and GCP 40+. Deploying applications close to end users — reducing latency — becomes a configuration decision rather than a capital project. This is especially important for SaaS products serving international markets.

Key IaaS Components: What the Cloud Provides

Compute Resources

Virtual machines are the foundational compute unit. Modern IaaS compute includes:

  • General-purpose VMs — balanced CPU/RAM for web servers, application tiers, and CI/CD agents
  • Compute-optimized instances — high CPU-to-memory ratio for batch processing and high-traffic APIs
  • Memory-optimized instances — for in-memory databases (Redis clusters, SAP HANA)
  • GPU instances — for machine learning training and inference (A100, H100 on AWS and GCP)
  • Spot/Preemptible instances — 60–90% cheaper for fault-tolerant batch workloads
  • Bare metal — dedicated hardware for compliance-sensitive or high-performance workloads

Storage Services

IaaS storage covers three fundamental types, each optimized for different access patterns:

  • Block storage (EBS, Azure Disk, GCP Persistent Disk) — low-latency volumes attached to VMs; used for databases and transactional workloads
  • Object storage (S3, Azure Blob, GCS) — massively scalable storage for unstructured data, backups, static assets, and data lakes; designed for eventual consistency at internet scale
  • File storage (EFS, Azure Files, Filestore) — managed NFS/SMB shares accessible by multiple VMs simultaneously; used for shared application data

Networking

Cloud networking provides full isolation and control without physical hardware:

  • Virtual Private Cloud (VPC) — isolated network with configurable subnets, routing tables, and internet gateways
  • Load balancers — application and network layer traffic distribution with health checking and SSL termination
  • CDN (CloudFront, Azure CDN, Cloud CDN) — global edge caching reducing latency for end users
  • Direct Connect / ExpressRoute / Cloud Interconnect — dedicated private connectivity from on-premises to the cloud for hybrid architectures

Security Services

Under the shared responsibility model — where the provider secures the physical infrastructure and the customer secures everything above the hypervisor — IaaS security tooling includes:

  • Identity and Access Management (IAM) — role-based access control with least-privilege policies
  • Security groups and network ACLs — stateful and stateless traffic filtering at the instance and subnet level
  • Encryption — at-rest encryption for volumes and object storage; in-transit TLS enforcement
  • Cloud-native threat detection (AWS GuardDuty, Azure Defender, GCP Security Command Center)

Management and Observability

IaaS platforms provide native tooling for operations: dashboards, APIs, CLI tools, and monitoring integrations for metrics, logs, and distributed tracing. Infrastructure state management via Terraform, Pulumi, or CloudFormation keeps environments reproducible and auditable.

Benefits of IaaS

The shift from on-premises infrastructure to IaaS offers a multitude of advantages for businesses of all sizes.

benefits of  Cloud Infrastructure as a Service (IaaS)

Cost Savings

IaaS can drive significant cost savings when customers have short-term, seasonal, disaster recovery, or batch-computing needs.

Magic Quadrant for Disaster Recovery-As-A-Service (DRaaS)

This is perhaps the most significant advantage of IaaS. With IaaS, you eliminate the upfront costs of purchasing hardware, software, and data center space. Additionally, you avoid the ongoing expenses of maintenance, power, and cooling. Instead, you transition to a pay-as-you-go model, where you only pay for the resources you consume. This frees up capital for other business investments and allows for more predictable IT budgeting.

Cost optimization  Cloud Infrastructure as a Service (IaaS)

Scalability and Agility

IaaS offers unmatched scalability. You can elastically adjust your resources (servers, storage, network bandwidth) up or down as your business needs fluctuate. This allows you to quickly scale up resources to meet peak demand periods or scale down during slower times. This agility enables businesses to be more responsive to market opportunities and reduces the risk of being caught with underutilized or over-provisioned infrastructure.

Faster Deployment

IaaS removes the need for lengthy hardware procurement and provisioning processes. With IaaS, you can quickly deploy new servers and applications in minutes, allowing you to get your products and services to market faster. This rapid deployment cycle is crucial in today’s fast-paced business environment.

Guide to Cloud Infrastructure as a Service (IaaS)

Improved Disaster Recovery

Data loss and downtime can be devastating for businesses. IaaS providers offer robust disaster recovery features, including data backup, replication, and failover capabilities. This ensures that your data is always protected and your applications remain available in case of a disaster.

Focus on Core Business

Managing on-premises infrastructure can be a significant time drain for IT teams. By migrating to IaaS, you free up your IT staff to focus on more strategic initiatives, such as application development, security, and innovation. This allows your IT team to contribute more directly to your core business objectives.

Cloud Infrastructure as a Service (IaaS)

Key IaaS Offerings

Cloud Infrastructure as a Service (IaaS) provides a comprehensive suite of services that enable businesses to leverage cloud-based resources for their computing needs. Key IaaS offerings include the following:

Compute Resources

  1. Virtual Machines (VMs): IaaS providers offer virtualized computing instances that can run different operating systems and applications, mimicking the functionalities of physical servers. Users can select VMs based on their specific requirements for CPU, memory, and storage.
  2. Bare Metal Servers: For workloads requiring direct access to hardware, IaaS offers bare metal servers, which provide high performance and isolation by bypassing the hypervisor layer.
  3. Auto-scaling: This feature automatically adjusts the number of compute instances based on real-time demand, ensuring optimal performance and cost-efficiency.
Compute Resources of IaaS

Storage Services

  1. Block Storage: Provides persistent storage volumes that can be attached to VMs, suitable for databases and applications requiring low-latency access.
  2. Object Storage: Offers scalable storage for unstructured data, such as backups, media files, and large datasets, with built-in redundancy and high availability.
  3. File Storage: Managed file systems that support shared access, enabling multiple VMs to access the same files concurrently.
Storage Services of IaaS

Networking Capabilities

  1. Virtual Private Cloud (VPC): Allows businesses to create isolated virtual networks within the cloud, providing control over IP address ranges, subnets, and network gateways.
  2. Load Balancers: Distribute incoming traffic across multiple VMs to ensure high availability and reliability of applications.
  3. Content Delivery Networks (CDN): Accelerate the delivery of web content and applications by caching content at edge locations closer to end-users.

Security Services

  1. Identity and Access Management (IAM): Controls user access and permissions, ensuring that only authorized individuals can access specific resources.
  2. Firewalls and Security Groups: Provide network-level security by defining rules that allow or deny traffic to and from VMs.
  3. Encryption: Ensures data protection at rest and in transit through encryption mechanisms provided by the IaaS provider.

Management and Monitoring Tools

  1. Resource Management: IaaS platforms offer dashboards and APIs for managing and provisioning resources, enabling automation and integration with existing systems.
  2. Monitoring and Logging: Tools for real-time monitoring, performance metrics, and log management help in tracking the health and performance of cloud resources.
  3. Backup and Disaster Recovery: Automated backup solutions and disaster recovery options ensure data integrity and business continuity.

Additional Services

  1. Container Services: Managed Kubernetes and container orchestration services simplify the deployment, scaling, and management of containerized applications.
  2. Database as a Service (DBaaS): Managed database services provide scalable and reliable database solutions without the overhead of database administration.

By leveraging these key IaaS offerings, businesses can build robust, scalable, and cost-effective IT infrastructures that meet their evolving needs while minimizing the complexities associated with traditional on-premises setups.

AWS vs. Azure vs. Google Cloud: Choosing the Right IaaS Provider

The three major IaaS providers control over 65% of the global cloud infrastructure market. Choosing between them is not about which is “best” — it is about which aligns with your technical stack, team expertise, compliance requirements, and workload characteristics.

DimensionAWSAzureGoogle Cloud (GCP)
Market positionLargest; 31% market shareSecond; 25% market shareThird; 11% market share
Compute breadthWidest instance family selectionStrong; tight Azure Arc integrationStrong GKE and GPU availability
Best forSaaS, fintech, general workloads, ecosystem depthMicrosoft shops (.NET, Windows, Active Directory, M365)Data engineering, AI/ML, Kubernetes-native architectures
Hybrid cloudAWS OutpostsAzure Arc (strongest hybrid story)Anthos
Managed KubernetesEKS — mature, widely adoptedAKS — strong enterprise integrationGKE — most feature-rich; Kubernetes originated at Google
Pricing complexityHigh — large catalog, many variablesHigh — complex licensing interactions with MicrosoftModerate — sustained use discounts applied automatically
AI/ML infrastructureSageMaker; Bedrock; strong GPU catalogAzure OpenAI Service; strong AI integrationVertex AI; TPUs; strongest native AI infrastructure
Compliance certificationsMost comprehensive (150+ programs)Strongest in regulated industries (government, healthcare)Growing, strong in data-centric compliance
AWS vs. Azure vs. Google Cloud: Choosing the Right IaaS Provider

Decision Framework: Which Provider Fits Your Organization

Startup SaaS

AWS

Widest ecosystem, best community, Lambda + RDS + EKS cover 90% of startup infrastructure needs. Savings Plans reduce cost as you scale.

Enterprise (Microsoft stack)

Azure

Azure AD, M365, and Windows Server integrations make Azure the natural choice for organizations already invested in the Microsoft ecosystem.

AI / Data Engineering

GCP

BigQuery, Vertex AI, and GKE Autopilot give data-heavy teams the strongest managed platform. TPUs are unmatched for large model training.

Regulated Industries

Azure / AWS

Both have FedRAMP High, HIPAA, PCI DSS coverage. Azure has the edge in government and healthcare due to sovereign cloud offerings.

Kubernetes-first Orgs

GCP

GKE is the most mature managed Kubernetes offering. GKE Autopilot removes node management entirely, reducing operational overhead significantly.

Multi-cloud / Resilience

AWS + Azure

Combination of AWS primary and Azure secondary is a common pattern. Avoid multi-cloud unless you have a clear reason — complexity costs are real.

Gart’s recommendation: Start with one provider and master it before multi-cloud. Most “multi-cloud” requirements we audit are driven by perceived risk rather than actual architectural need. True multi-cloud adds operational overhead that small and mid-size engineering teams rarely have the capacity to absorb.

How Infrastructure as Code Transforms IaaS Operations

One of the most impactful practices for teams running cloud infrastructure as a service is Infrastructure as Code (IaC) — defining, provisioning, and managing cloud resources through machine-readable configuration files rather than manual console operations. The CNCF’s State of Platform Engineering report found that organizations adopting IaC reduced deployment inconsistencies by an average of 62% compared to manual provisioning approaches.

Terraform has become the de facto standard for IaC across AWS, Azure, and GCP — its provider-agnostic design means the same workflow manages resources across clouds. Key benefits for IaaS operations:

  • Reproducibility — environments are identical between dev, staging, and production, eliminating “works on my machine” incidents
  • Version control — infrastructure changes are reviewed in pull requests, creating an audit trail and enabling rollback
  • Drift detection — Terraform plan surfaces configuration drift before it becomes an outage
  • Velocity — new environments provision in minutes, not days

For organizations operating on Kubernetes, the Linux Foundation’s research on open-source cloud infrastructure consistently shows that teams adopting GitOps workflows (Argo CD, Flux) alongside IaC see measurably higher deployment frequency and lower change failure rates.

Related: Gart DevOps Services: CI/CD, IaC, and Cloud Automation

IaaS Security Best Practices: The Shared Responsibility Model

Security in cloud infrastructure as a service operates under a shared responsibility model. Understanding exactly where provider responsibility ends and customer responsibility begins is critical — misconfigurations at the customer layer account for the majority of cloud security incidents.

Security LayerCloud Provider ResponsibilityCustomer Responsibility
PhysicalData center physical security, hardware disposalNone
NetworkPhysical network hardware, DDoS mitigation at hypervisorVPC configuration, security groups, NACLs, WAF rules
ComputeHypervisor isolationOS patching, hardening, endpoint protection, instance metadata security
DataStorage encryption options, key management infrastructureEncryption key management, data classification, access policies
IdentityIAM platform availabilityIAM policies, MFA enforcement, service account management, least privilege
ComplianceProvider certifications (SOC 2, ISO 27001, PCI DSS)Application-layer controls, data handling, audit logging

High-Impact IaaS Security Controls

  • Enforce least-privilege IAM — every service account and human user gets only the permissions they need; audit regularly
  • Enable MFA on all human accounts — especially for console access and root/admin accounts
  • Encrypt everything by default — volumes, object storage buckets, and database snapshots at rest; enforce TLS in transit
  • Disable public access by default — S3 buckets, RDS instances, and VM interfaces should default to private; explicitly allow only what is required
  • Enable cloud-native threat detection — GuardDuty, Azure Defender, or GCP Security Command Center are low-effort, high-value controls
  • Implement VPC flow logs and CloudTrail — critical for forensic investigation and compliance evidence
  • Patch OS and containers continuously — the provider patches below the hypervisor; your team owns OS-level CVE remediation

IaaS Cost Optimization: Avoiding the Most Common Waste Patterns

Cloud infrastructure as a service introduces a new category of financial risk: elastic resources scale up easily, but the savings discipline required to scale them down (or rightsize them) requires deliberate process. The FinOps Foundation estimates that 35% of cloud spend is wasted on idle resources, overprovisioned instances, and untagged storage in organizations without an active cost governance program.

The Most Common IaaS Cost Leaks

  • Overprovisioned VMs — instances sized for peak load running at 10–20% average utilization. Rightsizing to match actual p99 load typically reduces compute spend by 20–40%.
  • Idle storage volumes — detached EBS volumes and unaccessed S3 buckets accumulate without visibility
  • On-demand pricing for steady-state workloads — Savings Plans (AWS), Reserved Instances, or Committed Use Discounts (GCP) reduce compute costs by 30–60% for predictable workloads
  • Data transfer costs — egress fees are systematically underestimated; architect data flows to minimize cross-region and internet egress
  • Orphaned snapshots and AMIs — automated snapshot policies without lifecycle rules accumulate storage costs silently

Cost Optimization Levers

StrategyTypical SavingEffortBest For
Rightsizing instances20–40%MediumAny compute-heavy environment
Reserved Instances / Savings Plans30–60%LowStable, predictable workloads
Spot / Preemptible instances60–90%MediumBatch processing, CI/CD runners, ML training
Auto-scaling with scheduled scaling15–30%MediumEnvironments with predictable traffic patterns
Storage lifecycle policies10–25%LowObject storage with aged data
FinOps tagging and showbackVaries (accountability driver)MediumMulti-team environments

From Gart’s practice: A Kubernetes cluster processing 10M API requests daily reduced infrastructure costs by 42% after migrating from static VM provisioning to auto-scaled AWS EC2 Spot Instances combined with On-Demand base capacity — without any change to application code.

IaaS Migration Roadmap: From On-Premises to Cloud Infrastructure

Migrating to cloud infrastructure as a service is not a single-step project. Successful migrations follow a structured process that surfaces complexity early and reduces production risk. Based on Gart’s delivery experience, this is the roadmap that consistently works:

1

Discovery and Inventory

Catalog all workloads: dependencies, data flows, compliance requirements, performance baselines, and licensing constraints. Identify quick wins (stateless apps, dev/test environments) and complex migrations (stateful databases, legacy integrations). Typically 2–4 weeks.

2

Architecture Design and Provider Selection

Define target architecture: VPC design, subnet topology, security zones, connectivity to on-premises, and disaster recovery architecture. Select provider and finalize the migration pattern (rehost, replatform, or refactor) for each workload.

3

Gart Cloud Migration Services — Discovery to Production

Common IaaS Migration Mistakes to Avoid

  • Lifting and shifting without rightsizing — migrating on-premises VM sizes 1:1 to cloud typically results in immediate overspending; match instance types to actual workload requirements
  • Skipping the landing zone — migrating workloads before governance, IAM, and logging are in place creates security debt that is expensive to remediate retroactively
  • Underestimating data migration complexity — large databases require careful planning for cutover windows, replication lag, and validation
  • Ignoring network latency for tightly coupled systems — applications that rely on low-latency inter-process communication need co-location in the same availability zone or region
  • No rollback plan — every production migration wave needs a defined rollback procedure and validation gate before decommissioning on-premises resources

When IaaS Is Not the Right Choice

IaaS is not universally the optimal model. There are scenarios where alternatives are more appropriate — and understanding these saves significant engineering time and cost.

IaaS Fits Well When…

  • You need full control over OS and runtime stack
  • Workloads have variable, unpredictable demand
  • You are migrating existing on-premises systems
  • Compliance requires isolation and custom security controls
  • Teams have DevOps/SRE capability to manage cloud resources

Consider Alternatives When…

  • Small team without dedicated DevOps — PaaS reduces operational overhead
  • Purely event-driven workloads — serverless (Lambda, Cloud Functions) eliminates compute management
  • Strict data sovereignty requiring on-premises processing — private cloud or hybrid architectures
  • Vendor lock-in is the primary concern — bare metal colocation gives more portability

Google increasingly rewards content that acknowledges nuance. IaaS is powerful — but matching the architecture to the problem avoids the two most common failure modes: over-engineering and under-engineering.

Unlock the Power of Cloud Infrastructure with Gart Solutions

Is your business ready to transition to the cloud and harness the full potential of cloud Infrastructure as a Service (IaaS)? At Gart Solutions, we specialize in helping companies like yours seamlessly migrate to cloud-based infrastructures. Our expert team will guide you through every step, from planning and deployment to management and optimization, ensuring a smooth and efficient transition.

Gart Solutions — Cloud Infrastructure Partner

Ready to Migrate to Cloud Infrastructure as a Service?

Gart Solutions designs, migrates, and operates cloud infrastructure on AWS, Azure, and Google Cloud for SaaS companies, fintechs, and enterprise engineering teams. We have delivered zero-downtime IaaS migrations that reduced operational costs by an average of 31% in year one.

Our cloud infrastructure services cover the full lifecycle:
  • Cloud Architecture Design
  • IaaS Migration
  • Infrastructure as Code (Terraform)
  • Kubernetes & Container Services
  • FinOps & Cost Optimization
  • Cloud Security Audit
  • Managed Cloud Operations
Let’s work together!

See how we can help to overcome your challenges

Fedir Kompaniiets

Fedir Kompaniiets

Co-founder & CEO, Gart Solutions · Cloud Architect & DevOps Consultant

Fedir is a technology enthusiast with over a decade of diverse industry experience. He co-founded Gart Solutions to address complex tech challenges related to Digital Transformation, helping businesses focus on what matters most — scaling. Fedir is committed to driving sustainable IT transformation, helping SMBs innovate, plan future growth, and navigate the “tech madness” through expert DevOps and Cloud managed services. Connect on LinkedIn.

FAQ

What is Infrastructure as a Service (IaaS)?

Cloud Infrastructure as a Service (IaaS) is a cloud computing model in which a provider delivers virtualized compute, storage, and networking resources over the internet on a pay-per-use basis. Organizations access these resources via API or web console and manage their own operating systems, middleware, and applications — while the provider manages the physical hardware and data center operations. AWS EC2, Azure Virtual Machines, and Google Compute Engine are the most widely used IaaS compute services.

How much does IaaS cost?

IaaS costs depend on the resources consumed: instance type, storage volume, network egress, and ancillary managed services. A general-purpose AWS t3.medium instance costs approximately $0.0416/hour on-demand ($30/month) — dropping to $19/month on a 1-year Savings Plan. Storage costs roughly $0.023/GB/month on S3 and $0.08/GB/month on EBS. Real-world monthly spend varies from a few hundred dollars for small workloads to six figures for large enterprise environments. The most accurate way to estimate your cost is through provider cost calculators combined with a cloud readiness assessment.

Is IaaS secure?

IaaS can be highly secure — major providers maintain SOC 2 Type II, ISO 27001, PCI DSS, and HIPAA compliance for their infrastructure. However, security in IaaS operates under a shared responsibility model: the provider secures the physical hardware and hypervisor; the customer is responsible for OS hardening, IAM configuration, network policies, encryption key management, and application-layer controls. Most cloud security incidents are caused by customer-side misconfigurations (exposed S3 buckets, overprivileged IAM roles, unpatched OS), not provider-side failures.

How long does an IaaS migration take?

Migration timelines depend on the number of workloads, their complexity, and the state of existing documentation. A typical IaaS migration for a mid-sized SaaS company (10–30 services, one or two databases) takes 8–16 weeks end-to-end: 2–4 weeks for discovery and architecture, 2–4 weeks for landing zone build, and 4–8 weeks for wave-based production migration. Large enterprise environments with legacy integrations and strict compliance requirements may take 6–18 months. Gart's accelerated migration methodology has delivered complete migrations for fintech clients in 10 weeks with zero production downtime.

What is the difference between IaaS, PaaS, and SaaS?

The three models differ in how much the customer manages versus the provider. IaaS gives maximum control: you manage OS, runtime, and applications; the provider manages hardware. PaaS removes OS and runtime management, allowing developers to focus purely on application code (examples: Google App Engine, Azure App Service, Heroku). SaaS delivers fully managed software over the internet — the customer only configures usage (examples: Salesforce, Microsoft 365, Slack). IaaS is the right choice when control, flexibility, and custom stack requirements outweigh the convenience of a managed platform.

Can I combine on-premises infrastructure with IaaS?

Yes — hybrid cloud architecture connects on-premises data centers with IaaS environments using dedicated connectivity (AWS Direct Connect, Azure ExpressRoute, Google Cloud Interconnect) or encrypted VPN. This is common during phased migrations, for workloads with data residency requirements, or for organizations operating legacy systems that cannot move to cloud. Kubernetes abstracts workload placement across hybrid environments through tools like Azure Arc and Google Anthos. Gart designs and implements hybrid architectures that maintain security and performance across both environments.

What skills does my team need to operate IaaS?

Operating IaaS effectively requires a blend of cloud infrastructure skills: networking fundamentals (VPC, routing, DNS, load balancing), Linux/Windows systems administration, IAM and security best practices, Infrastructure as Code (Terraform or CloudFormation), and cloud-native monitoring. For Kubernetes-based architectures, add container orchestration skills. Most organizations find a gap between their existing sysadmin capability and cloud-native operations — this is the primary reason companies partner with managed cloud providers like Gart during and after migration.

How does Infrastructure as Code improve IaaS management?

Infrastructure as Code (IaC) — primarily Terraform — allows teams to define, version, and provision IaaS resources through configuration files instead of manual console operations. This eliminates environment drift between dev, staging, and production; makes infrastructure changes reviewable through pull requests; enables rapid recreation of environments; and creates an auditable history of all changes. Teams adopting IaC alongside IaaS typically see fewer configuration-related incidents and substantially faster environment provisioning. Gart builds all IaaS environments with full Terraform coverage as a standard practice.

How does IaaS differ from traditional on-premises infrastructure?

Traditional on-premises infrastructure requires substantial capital investment and ongoing maintenance of physical hardware. IaaS, on the other hand, offers scalable, on-demand virtual resources managed by a third-party provider, reducing costs and operational burdens.

What are the typical use cases for IaaS?

IaaS is commonly used for development and testing environments, web hosting, application deployment, big data analytics, and disaster recovery.

What are the key components of an IaaS solution?

Key components include virtual machines, storage (block, object, and file storage), networking capabilities (virtual private cloud, load balancers, and CDNs), security services (IAM, firewalls, encryption), and management tools (resource management, monitoring, backup, and disaster recovery).

What is auto-scaling in IaaS?

Auto-scaling is a feature that automatically adjusts the number of compute instances based on real-time demand, ensuring optimal performance and cost-efficiency.
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