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AWS vs Azure for Enterprise Migration: Cost, .NET Support & Hybrid Cloud

Choosing between AWS and Azure is not a technology decision — it is a business architecture decision that locks in vendor dependencies, pricing structures, and operational patterns for 5-10 years. FreedomDev has migrated enterprise workloads to both platforms for over two decades from Zeeland, Michigan. This is the head-to-head comparison we give IT Directors who need to make the call: pricing models, .NET and Windows workload support, hybrid cloud (Azure Arc vs AWS Outposts), managed databases, Kubernetes, enterprise agreements, and compliance certifications. No vendor bias. Just the tradeoffs.

20+ Years Enterprise Cloud Architecture
AWS & Azure Migration Specialists
Cloud-Agnostic — No Vendor Markup
HIPAA, FedRAMP, CMMC Compliance Experience
Zeeland, Michigan (Grand Rapids Metro)

AWS vs Azure in 2026: Market Position, Strategic Lock-In & the Real Decision Framework

AWS holds approximately 31% of the global cloud infrastructure market. Azure holds roughly 25%. Together they account for over half of all cloud spending worldwide, and for enterprise IT Directors planning a migration, the realistic shortlist is exactly two names long. Google Cloud (11% share) competes on data analytics and machine learning, but for the general-purpose enterprise workloads — ERP hosting, .NET application deployment, Active Directory integration, hybrid connectivity, database management, and compliance certification — the decision comes down to Amazon versus Microsoft.

The surface-level comparison is straightforward. AWS has the broadest service catalog: over 200 services across compute, storage, networking, machine learning, IoT, and analytics. Azure has the deepest integration with the Microsoft ecosystem: Active Directory, SQL Server, .NET, Windows Server, Dynamics 365, Power BI, and Microsoft 365. If your enterprise runs primarily on Microsoft technologies, Azure has a gravitational pull that is difficult to resist. If your enterprise runs Linux workloads, open-source databases, and polyglot application stacks, AWS gives you more flexibility and typically lower compute pricing for equivalent instance types.

But the surface-level comparison is where most enterprise decision-makers stop, and it is exactly where they make expensive mistakes. The real differences between AWS and Azure show up in pricing mechanics (Reserved Instances vs Azure Reservations, Savings Plans vs Azure Hybrid Benefit, Spot Instances vs Azure Spot VMs), hybrid cloud architecture (AWS Outposts vs Azure Arc vs Azure Stack HCI), managed database services (RDS/Aurora vs Azure SQL/Cosmos DB), Kubernetes implementation (EKS vs AKS), enterprise agreement structures (AWS Enterprise Discount Program vs Microsoft Enterprise Agreement bundling with Office 365 and Dynamics), and compliance certification scope (both cover FedRAMP, HIPAA, SOC 2, and ISO 27001, but the specific services certified and the shared responsibility boundaries differ in ways that matter for regulated industries).

FreedomDev is cloud-agnostic. We do not resell AWS credits or hold a Microsoft Cloud Solution Provider partnership. Our revenue comes from building and migrating applications, not from markup on cloud spend. That means our recommendation is based entirely on your existing technology stack, your compliance requirements, your team's operational expertise, and the total cost of ownership over a 3-5 year horizon. This page breaks down every major decision area so you can evaluate the tradeoffs before committing to a platform that will define your infrastructure for the next decade.

31% vs 25%
AWS vs Azure global cloud market share
40-85%
Azure Hybrid Benefit savings on Windows/SQL workloads
$0/cluster
AKS control plane cost (vs $73/mo EKS)
200+
AWS services vs Azure's 200+ services
4-8mo
Typical enterprise cloud migration timeline
76%
Of enterprises operating multi-cloud environments

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Our AWS vs Azure for Enterprise Migration: Cost, .NET Support & Hybrid Cloud Capabilities

Pricing Models: AWS vs Azure Cost Structures for Enterprise Workloads

AWS and Azure both offer on-demand, reserved, and spot pricing — but the mechanics differ in ways that directly impact your annual cloud bill by 30-50%. AWS Reserved Instances lock in a specific instance type in a specific availability zone for 1 or 3 years, with upfront payment options (no upfront, partial upfront, all upfront) that discount on-demand pricing by 40-72%. AWS Savings Plans are more flexible — they commit to a dollar-per-hour spend level rather than a specific instance type, which means you can change instance families without losing your discount. Azure Reservations work similarly to AWS Reserved Instances but with one critical advantage for Microsoft shops: Azure Hybrid Benefit. If your enterprise already owns Windows Server or SQL Server licenses with Software Assurance, Azure Hybrid Benefit lets you apply those existing licenses to Azure VMs, saving up to 85% compared to pay-as-you-go pricing that includes license costs. For a company running 50 Windows Server VMs and 10 SQL Server instances, Azure Hybrid Benefit alone can save $200,000-$500,000 per year versus running the same workloads on AWS where you must pay for the Windows and SQL Server licenses embedded in the instance pricing. AWS counters with Spot Instances, which offer up to 90% discount on spare EC2 capacity — Azure Spot VMs offer similar discounts but with less availability and fewer instance types in most regions. FreedomDev models both platforms' pricing for every migration engagement, using actual workload metrics (CPU utilization, memory consumption, storage IOPS, network egress) to produce a 3-year TCO comparison that accounts for reserved commitments, licensing offsets, egress charges, and support tier costs.

01

.NET and Windows Workload Support: Azure's Structural Advantage

If your enterprise runs .NET applications on Windows Server with SQL Server databases and Active Directory authentication, Azure is not just a good choice — it is the architecturally obvious choice, and choosing AWS for these workloads requires a specific justification. Azure App Service runs ASP.NET and ASP.NET Core applications natively with deployment slots for zero-downtime releases, auto-scaling based on HTTP queue depth, and integrated authentication against Azure Active Directory without writing a single line of auth code. Azure SQL Database is a fully managed SQL Server instance with built-in high availability (99.995% SLA on Business Critical tier), automatic tuning, transparent data encryption, and seamless migration from on-premise SQL Server using Azure Database Migration Service. Azure Active Directory — now Microsoft Entra ID — provides single sign-on across your Azure infrastructure, Microsoft 365, Dynamics 365, and thousands of SaaS applications. The integration between these services is not superficial; it is architectural. An ASP.NET application deployed to Azure App Service can authenticate against Entra ID, query Azure SQL, log to Application Insights, and trigger Azure Functions without managing credentials manually — Managed Identity handles service-to-service authentication automatically. AWS supports .NET workloads, but the experience is fundamentally different. You run .NET applications on EC2 instances (self-managed) or AWS App Runner (limited configuration options). SQL Server runs on RDS, which is well-managed but lacks the migration tooling parity of Azure SQL. Active Directory requires deploying AWS Managed Microsoft AD, which costs $144-$288/month for the directory alone, or deploying AD Domain Controllers on EC2 instances, which you manage yourself. For greenfield .NET projects, the gap is wide enough that we recommend Azure unless there is a compelling multi-cloud or existing-AWS-investment reason to stay on Amazon.

02

Hybrid Cloud: Azure Arc vs AWS Outposts vs Azure Stack HCI

Enterprise migration is rarely all-or-nothing. Regulated industries, manufacturing companies with shop-floor systems, and organizations with data residency requirements need hybrid architectures that span on-premise and cloud. Azure and AWS approach hybrid cloud differently, and the architectural implications are significant. Azure Arc extends the Azure control plane to any infrastructure — on-premise servers, edge devices, other cloud providers, even competitor environments. You install the Arc agent on a physical or virtual server running anywhere, and it appears in the Azure portal as a manageable resource. You can apply Azure Policy, deploy configurations with Azure Automation, monitor with Azure Monitor, and run Azure SQL Managed Instance or Azure App Service on your own hardware through Arc-enabled services. The Arc model is software-defined: no proprietary hardware required, no minimum commitment, and no rack-level installation. AWS Outposts takes the opposite approach. Outposts is AWS-owned hardware installed in your data center — a full or half rack of compute and storage that runs native AWS services (EC2, EBS, S3, RDS, ECS, EKS) on your premises, managed by AWS over a network connection back to the nearest AWS Region. Outposts pricing starts at approximately $7,500/month for a 1U server and scales up significantly for full rack configurations. The advantage is true API consistency — code that runs on EC2 in us-east-1 runs identically on Outposts in your server room. The disadvantage is cost, lead time (6-8 weeks for delivery), and the requirement to maintain physical space, power, and cooling for AWS-branded hardware. Azure Stack HCI sits between these extremes: Microsoft-validated hardware from OEMs (Dell, HPE, Lenovo) running Azure hybrid services with per-core subscription pricing. For enterprises with existing on-premise investment that want a gradual migration path, Azure Arc's lightweight agent model is typically more practical. For enterprises that need full AWS API compatibility on-premise for latency or data sovereignty reasons, Outposts delivers that at a premium. FreedomDev designs hybrid architectures on both platforms, and we frequently deploy split environments where Azure handles identity and Windows workloads on-premise through Arc while AWS handles Linux compute and storage in the cloud.

03

Managed Database Services: RDS/Aurora vs Azure SQL/Cosmos DB

Database services are where enterprise migrations get complicated, because the database choice constrains application architecture for years. AWS offers RDS (managed PostgreSQL, MySQL, MariaDB, Oracle, SQL Server) and Aurora (AWS-proprietary, PostgreSQL- and MySQL-compatible, with up to 5x throughput improvement over standard PostgreSQL and 3x over standard MySQL). Aurora Serverless v2 scales compute automatically based on demand, which eliminates capacity planning for variable workloads. DynamoDB handles NoSQL document and key-value patterns at single-digit-millisecond latency with automatic scaling. Azure offers Azure SQL Database (managed SQL Server, single database or elastic pool), Azure Database for PostgreSQL and MySQL (comparable to RDS), and Cosmos DB (globally distributed, multi-model NoSQL with five consistency levels and guaranteed sub-10ms reads at the 99th percentile). For SQL Server workloads, Azure SQL Database wins outright. Migration from on-premise SQL Server is near-seamless using Azure Database Migration Service, Azure Hybrid Benefit applies existing SQL Server licenses, and features like automatic tuning, intelligent performance insights, and ledger tables (immutable audit trails for regulated industries) have no AWS equivalent at the same integration depth. RDS for SQL Server is competent but limited — you cannot use features like SQL Server Agent jobs, linked servers, or CLR integration that many legacy enterprise applications depend on. For PostgreSQL and MySQL, the platforms are roughly equivalent — RDS and Aurora vs Azure Database for PostgreSQL Flexible Server and Azure Database for MySQL Flexible Server offer comparable management, backup, and replication features. For globally distributed NoSQL, Cosmos DB edges ahead of DynamoDB on multi-region write capabilities and tunable consistency levels, though DynamoDB's pricing model is simpler and its integration with Lambda and other AWS services is tighter. FreedomDev evaluates database services based on your existing database engine, your licensing position, your latency requirements, and your team's operational familiarity — not on vendor feature comparison charts.

04

Kubernetes: EKS vs AKS Architecture, Pricing & Operational Overhead

Both AWS and Azure offer managed Kubernetes, but the pricing model and operational experience differ sharply. Azure Kubernetes Service (AKS) does not charge for the Kubernetes control plane — you pay only for the worker node VMs and associated storage. Amazon Elastic Kubernetes Service (EKS) charges $0.10 per hour ($73/month) per cluster for the control plane, plus worker node costs. For organizations running multiple clusters (dev, staging, production, per-team isolation), the EKS control plane cost adds up: 5 clusters costs $365/month before a single pod runs. AKS also integrates natively with Azure Active Directory for RBAC, Azure Monitor for container insights, Azure Policy for pod security standards, and Azure Container Registry with geo-replication. EKS integrates with IAM for Kubernetes RBAC (through IRSA — IAM Roles for Service Accounts), CloudWatch for logging, and ECR for container images. Both platforms support managed node groups, cluster autoscaling, and the full Kubernetes API. The operational difference is in the default experience. AKS clusters come with Azure Monitor container insights enabled by default, providing pod-level CPU and memory metrics, container log aggregation, and live data views without installing Prometheus or Grafana. EKS requires you to deploy your own observability stack — typically Prometheus, Grafana, and Fluentd or Fluent Bit — or pay for AWS-managed Prometheus ($0.90 per 10 million samples ingested) and AWS-managed Grafana ($9/editor/month). For teams with deep Kubernetes expertise that want maximum control, EKS offers more flexibility in networking (VPC CNI plugin with custom networking options) and compute (Fargate for serverless pods, Graviton instances for cost-optimized ARM workloads). For teams that need managed Kubernetes with the least operational overhead, AKS delivers more out of the box at a lower baseline cost. FreedomDev deploys production Kubernetes clusters on both EKS and AKS using GitOps workflows with ArgoCD and Helm, with environment parity enforced through infrastructure-as-code in Terraform.

05

Enterprise Agreements, Compliance & Support Tiers

Enterprise procurement is where Azure frequently wins deals that AWS would have won on pure technology merits. Microsoft Enterprise Agreements bundle Azure credits with Microsoft 365 E5, Dynamics 365, Power Platform, and GitHub Enterprise licensing. For an enterprise already committed to Microsoft 365 and Dynamics, the incremental cost of Azure is offset by bundled discounts that can reduce the effective Azure rate by 20-35% compared to standalone pricing. AWS Enterprise Discount Program (EDP) offers committed-spend discounts (typically 5-15% off on-demand for $1M+ annual commitments) but cannot bundle with productivity software because AWS does not have an Office suite to bundle. This means the CFO comparing a $2M Azure Enterprise Agreement that includes Microsoft 365, Dynamics, and Azure credits against a $1.2M AWS EDP plus $600K in separate Microsoft licensing often finds that the Azure EA looks cheaper even when the raw compute costs are higher. On compliance certification, both platforms cover the essentials: FedRAMP High, HIPAA BAA, SOC 1/2/3, ISO 27001/27017/27018, PCI DSS Level 1, and GDPR. The differences emerge in specialized certifications. Azure holds CJIS (Criminal Justice Information Services) compliance in more states, which matters for government and law enforcement contracts. AWS holds more DoD IL5 and IL6 authorizations through GovCloud regions, which matters for defense contractors. Both offer CMMC compliance support, and both provide BAA (Business Associate Agreement) execution for HIPAA-covered entities. FreedomDev maps your specific compliance requirements — industry vertical, data classification, geographic restrictions, and audit obligations — to the certified services on each platform, ensuring that the services your application actually uses (not just the platform overall) hold the required certifications.

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“
We were locked into an AWS vs Azure debate for six months. FreedomDev ran the actual numbers — our SQL Server licensing made Azure $210K cheaper annually, but our data pipeline ran better on Aurora. They built a split architecture that saved us money on both sides. Nobody else even suggested that was an option.
IT Director—West Michigan Manufacturing Company

Perfect Use Cases for AWS vs Azure for Enterprise Migration: Cost, .NET Support & Hybrid Cloud

Manufacturing .NET ERP Migration: On-Premise SQL Server to Azure

A West Michigan manufacturer running a custom ASP.NET ERP built in 2014 on Windows Server 2016, SQL Server 2017 Standard, and Active Directory for 300 users. The on-premise hardware is at end-of-life, VMware licensing costs doubled after the Broadcom acquisition, and the IT Director needs to migrate before the next hardware refresh cycle. We evaluated both platforms. The enterprise already had Microsoft 365 E3 licenses for all users and a Dynamics 365 implementation in progress. Azure Hybrid Benefit applied existing SQL Server and Windows Server licenses, saving $180,000/year in licensing costs that AWS would have charged embedded in EC2 and RDS pricing. Azure App Service hosted the ASP.NET application with deployment slots and auto-scaling. Azure SQL Database received the production database via Azure Database Migration Service with under 30 minutes of downtime. Azure AD (Entra ID) provided seamless SSO from the existing Active Directory through Azure AD Connect sync. Azure Arc managed three on-premise servers running shop-floor SCADA systems that could not move to cloud due to sub-10ms latency requirements. Total migration timeline: 4 months. Annual infrastructure savings: $210,000 versus renewing on-premise hardware and VMware licensing.

Multi-Cloud SaaS Platform: AWS Primary with Azure AD Integration

A SaaS company with a microservices architecture running 40 Docker containers on EKS, PostgreSQL on Aurora, Redis on ElastiCache, and a React frontend on CloudFront and S3. Their enterprise customers require Azure AD single sign-on for user authentication, and three Fortune 500 prospects require data residency in Azure's US Government regions for FedRAMP compliance. We architected a multi-cloud deployment: primary application infrastructure remained on AWS (where the engineering team had 5 years of operational expertise), OIDC federation connected Azure AD tenants to the application's authentication layer without migrating identity management, and a dedicated Azure deployment pipeline built identical container images for AKS in Azure Government regions for FedRAMP-requiring customers. Terraform modules abstracted the provider differences for networking, compute, and database resources. The SaaS company won all three Fortune 500 deals without re-platforming their core infrastructure and without their engineering team needing to learn an entirely new cloud provider from scratch.

Healthcare Data Platform: AWS for HIPAA Workloads with Cost Optimization

A healthcare analytics company processing 2 TB of patient data daily from 15 hospital system clients, running data pipelines, machine learning models for readmission risk prediction, and HIPAA-compliant API endpoints for clinical decision support. The existing infrastructure was on-premise with GPU servers for model training. We migrated to AWS. S3 with SSE-KMS encryption stored PHI data with cross-region replication for disaster recovery. EKS ran the data pipeline containers with Fargate profiles for burst processing during nightly ETL jobs. SageMaker handled model training on P4d GPU instances with Spot capacity, reducing training costs by 70% compared to on-demand. Aurora PostgreSQL hosted the application database with read replicas in a secondary region. AWS Config and CloudTrail provided continuous compliance monitoring mapped to HIPAA requirements. AWS was chosen over Azure for this workload because Aurora's PostgreSQL compatibility outperformed Azure Database for PostgreSQL on their specific query patterns (complex analytical joins across 500M+ row tables), SageMaker's integration with S3 and EKS reduced pipeline complexity, and AWS Spot Instance availability for GPU workloads was significantly better in their target region (us-east-1) than Azure Spot VMs for equivalent NC-series instances.

Hybrid Cloud for Defense Contractor: Azure Stack HCI + AWS GovCloud

A defense contractor requiring CMMC Level 2 certification with ITAR-controlled technical data that cannot leave US soil. Their existing infrastructure was a mix of classified and unclassified workloads running on aging Dell PowerEdge servers. We designed a hybrid architecture: Azure Stack HCI on Dell AX nodes handled classified workloads on-premise with air-gapped processing for CUI (Controlled Unclassified Information) data, managed through Azure Arc for consistent policy enforcement and monitoring. AWS GovCloud (us-gov-west-1) hosted unclassified web applications, contractor collaboration portals, and business intelligence dashboards that needed internet accessibility. Site-to-site VPN connected the Azure Stack HCI environment to AWS GovCloud with encrypted transit for data flows between classified and unclassified tiers. Both environments were configured to NIST 800-171 controls, with continuous compliance monitoring through Azure Policy on the hybrid side and AWS Security Hub on the cloud side. The split architecture let the contractor meet CMMC requirements while avoiding the cost of hosting public-facing applications on air-gapped on-premise hardware.

We Integrate AWS vs Azure for Enterprise Migration: Cost, .NET Support & Hybrid Cloud With:

AWS EC2AWS LambdaAWS EKSAWS AuroraAWS RDSAzure App ServiceAzure SQL DatabaseAzure Kubernetes ServiceAzure Active DirectoryAzure ArcAWS OutpostsTerraformDockerKubernetesArgoCDHelmGitHub Actions

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Frequently Asked Questions

Is AWS or Azure cheaper for enterprise workloads?
It depends entirely on your existing licensing position. For Linux workloads with no existing Microsoft licenses, AWS is typically 5-15% cheaper on equivalent compute instances (m7i vs D-series), offers better Spot Instance availability for cost optimization, and Savings Plans provide flexible commitment discounts without locking into specific instance types. For Windows and SQL Server workloads where you hold licenses with Software Assurance, Azure Hybrid Benefit can reduce costs by 40-85% because you bring your existing licenses instead of paying the embedded license cost in every VM hour. A company running 50 Windows Server VMs and 10 SQL Server instances will almost always pay less on Azure due to Hybrid Benefit alone — the savings on licensing typically dwarf any difference in raw compute pricing. Egress pricing is nearly identical ($0.09/GB after the first 100GB on both platforms), and storage pricing differences are marginal. The real variable is the enterprise agreement structure: a Microsoft EA that bundles Azure credits with Microsoft 365 and Dynamics 365 licensing often makes Azure the cheaper option at the CFO level even when AWS would be cheaper evaluated as a standalone infrastructure purchase. FreedomDev builds 3-year TCO models using actual workload metrics for every migration engagement.
Can I run .NET applications on AWS instead of Azure?
Yes, and AWS has invested significantly in .NET support. You can run ASP.NET Core on ECS Fargate, Lambda (.NET 8 runtime), or EC2 with Windows Server AMIs. AWS Toolkit for Visual Studio and the AWS SDK for .NET are mature. However, the experience has more friction than Azure. On Azure, an ASP.NET application deployed to App Service authenticates against Entra ID with a checkbox toggle, connects to Azure SQL Database with Managed Identity (no connection string credentials), logs to Application Insights automatically, and uses deployment slots for zero-downtime releases — all without custom infrastructure code. On AWS, equivalent functionality requires configuring Cognito or integrating with Active Directory through Managed Microsoft AD ($144-$288/month), managing RDS credentials through Secrets Manager, deploying CloudWatch agents, and configuring CodeDeploy or building custom blue-green deployment pipelines. None of this is impossible, but it is more operational overhead. For companies with a strong DevOps team comfortable with AWS, the additional configuration is manageable. For companies where the IT Director needs managed services with minimal operational burden, Azure's native .NET integration reduces ongoing staffing requirements by approximately 0.5-1.0 FTE for a typical mid-market deployment.
What is the difference between Azure Arc and AWS Outposts for hybrid cloud?
Azure Arc is a software agent you install on any server (physical, virtual, any OS, any location) that brings it under Azure management. There is no proprietary hardware requirement and no minimum commitment. Arc-enabled servers appear in the Azure portal alongside your cloud resources, and you can apply Azure Policy, run Azure Automation scripts, monitor with Azure Monitor, and deploy configurations consistently across cloud and on-premise. Arc also extends to Kubernetes clusters (Arc-enabled Kubernetes) and data services (Arc-enabled SQL Managed Instance, Arc-enabled PostgreSQL). AWS Outposts is a physical rack or server unit owned by AWS, installed in your data center, connected to the nearest AWS Region over the network. It runs native AWS services — EC2, EBS, S3, RDS, ECS, EKS — on your premises with full API compatibility. The pricing model is a monthly subscription starting at approximately $7,500/month for a 1U server, with full racks costing significantly more. The fundamental difference is philosophical. Azure Arc says: manage your existing infrastructure with Azure tools. AWS Outposts says: put AWS infrastructure in your data center. Arc is lighter weight, cheaper to start, and works with any hardware you already own. Outposts provides true AWS API consistency but requires dedicated hardware with associated capital and operational costs. For most enterprise hybrid scenarios, Arc's flexibility is the better starting point. Outposts makes sense when you need specific AWS services (like S3 object storage API or EKS) to run on-premise with guaranteed API parity.
Should I use EKS or AKS for Kubernetes in production?
AKS is the better choice if you want lower baseline cost and less operational overhead. AKS does not charge for the Kubernetes control plane (EKS charges $73/month per cluster), includes Azure Monitor container insights by default, integrates natively with Azure Active Directory for RBAC, and provides a built-in ingress controller option (Application Gateway Ingress Controller) that does not require deploying and managing nginx or Traefik separately. EKS is the better choice if your team has deep AWS expertise, you need Fargate profiles for serverless pod execution, you want Graviton (ARM) instances for cost-optimized compute (AKS supports ARM but the instance variety is narrower), or your application architecture is deeply integrated with other AWS services like SQS, SNS, DynamoDB, and Lambda. Both platforms support the same Kubernetes API version, Helm charts deploy identically, and your application containers run without modification on either platform. The decision should be driven by your existing cloud investment and team expertise, not by Kubernetes-specific features. FreedomDev deploys production clusters on both platforms using identical GitOps workflows with ArgoCD and Terraform, which means migration between EKS and AKS is possible if your business requirements change.
How do AWS and Azure compare for compliance certifications like HIPAA, FedRAMP, and CMMC?
Both platforms hold the major certifications: FedRAMP High, HIPAA (with BAA execution), SOC 1/2/3, ISO 27001, PCI DSS Level 1, and GDPR compliance capabilities. The differences are in scope and specialization. AWS GovCloud (US) regions provide IL4 and IL5 authorization for DoD workloads, and AWS has broader IL6 certification for classified workloads. Azure Government regions also hold IL4 and IL5, and Azure Government Secret and Top Secret regions handle IL6 classified workloads. For CMMC compliance (required for defense contractors), both platforms provide the infrastructure controls for Level 1 through Level 3, but you remain responsible for application-level controls, access management, and audit logging regardless of which platform you choose. Azure has an edge for organizations that need CJIS compliance (criminal justice data) because Microsoft's CJIS compliance program covers more states and integrates with Azure Government. AWS has an edge for organizations that need to isolate government workloads completely, because GovCloud is a physically separated region operated by US persons only. For HIPAA, both platforms will execute a BAA, but the list of HIPAA-eligible services differs — check that every service your architecture uses is specifically listed as HIPAA-eligible, not just the platform overall. FreedomDev maps compliance requirements to specific service configurations, ensuring your architecture uses only certified services and implements the shared responsibility controls your auditors will verify.
How long does an enterprise cloud migration take, and can I use both AWS and Azure?
A typical mid-market enterprise migration — 20-50 servers, 3-8 databases, mixed Windows and Linux workloads, Active Directory, and 2-3 compliance requirements — takes 4-8 months with a phased approach. The first month is assessment and architecture design: inventorying workloads, mapping dependencies, modeling costs on both platforms, and designing the target architecture. Months 2-3 handle foundation work: landing zone configuration, networking (VPN or ExpressRoute/Direct Connect), identity federation, and security baseline. Months 3-6 handle workload migration in waves, starting with the lowest-risk applications and progressing to production-critical systems. The final 1-2 months cover validation, performance tuning, and on-premise decommissioning. Yes, you can use both platforms simultaneously — this is called multi-cloud, and approximately 76% of enterprises operate in a multi-cloud environment. Common patterns include Azure for identity and Microsoft workloads with AWS for Linux compute and data processing, or a primary platform for most workloads with a secondary platform for specific compliance or geographic requirements. FreedomDev uses Terraform to manage infrastructure on both platforms from a single codebase, which keeps the operational complexity of multi-cloud manageable rather than doubling your tooling burden.

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