Simplify On-prem File share Migration to Azure: Discover & assess suitability using Azure Migrate
Migrating on‑premises file servers to the cloud is a complex infrastructure transformation—not just a data move. Many organizations lack the visibility needed to decide whether to rehost or modernize file shares spread across Windows and Linux servers. Azure Migrate now extends its discovery and assessment capabilities to SMB and NFS file shares, enabling a data‑driven approach to modernizing on‑premises file workloads with Azure Files, or alternatively rehosting to deployment within an Azure VM. We are pleased to introduce the public preview of Azure Migrate’s new comprehensive discovery and assessment of on-premises SMB and NFS file shares for migration to Azure Files. This enhancement simplifies the migration process by integrating discovery and evaluation tools for SMB and NFS shares across both Windows and Linux platforms. Users can efficiently identify file shares, analyze their compatibility, and compare cost benefits for transitioning to Azure Files, all within an intuitive and streamlined interface. Why does this matter File shares remain a foundational service for most workloads - supporting applications, analytics, user home directories, and shared content. Planning such a vast amount of data for migration can be slow, manual, and fragmented. This new Azure Migrate capability is designed to help with: Reduce migration planning from months to weeks through automated discovery and assessment of SMB and NFS file shares. Perform holistic migration planning of your data and storage alongside servers, applications and data bases from within Azure Migrate experience. Modernize confidently to Azure Files with tailored SKU recommendations, readiness assessments, and comprehensive cost insights, enabling you to build a clear business case by comparing ongoing on-premises and Azure Files costs. What’s available in public preview Discover and view details of all on-premises SMB, NFS shares hosted on Windows and Linux servers Group, tag, filter shares by Production, non-production, project, business group for better planning. Create and review assessment for each share, its target Azure Files SKU based on region, redundancy, pricing options and media type. Generate a business case for selected group of shares running on Azure Files against on-premises cost. How do you get this feature? Install the latest Azure Migrate appliance, or enable the auto update feature for the appliance will receive this new capability. All existing SMB, NFS file shares will be reported in the Azure Migrate portal along with their Windows and Linux hosts. You do not need to perform any additional steps to discover the shares. End-to-end experience The experience is fully integrated into Azure Migrate and follows a familiar, guided workflow as below. 1. Discover on‑premises file servers and file shares You can start by creating an Azure Migrate project in the Azure portal and enabling discovery using the Azure Migrate appliance. The appliance can be deployed in connected or disconnected mode and runs on VMware, Hyper‑V, or physical servers. Once deployed, the appliance automatically discovers file servers and the file shares they host, including: Operating system (Windows or Linux) File share protocol (SMB or NFS) Associated volumes Estimated capacity Basic performance metrics such as IOPS and throughput (when performance collection is enabled) Discovered file shares appear directly in Azure Migrate inventory views, where they are surfaced as inventory items under respective Windows or Linux systems. This makes it easy to filter, tag, and review all shares at scale. 2. Build a business case The next step is to create a business case. This offers a clear comparison of on-premises costs versus Azure, highlights long-term savings and operational benefits, and justifies modernizing to Azure Files rather than rehosting file servers on virtual machines. This allows IT leaders to make data-driven decisions confidently. 3. Create and review an Azure Files assessment Once you have finalised your business case and decided to move to Azure Files, you can initiate an Azure Files assessment right from the Azure Migrate platform. The assessments are adaptable, allowing you to focus solely on file shares, include their parent servers, or even expand to scenarios that cover VMs, databases, and file shares—reflecting real-world planning needs. Each assessment reviews readiness and provides recommendations based on inventory and performance metrics gathered. Furthermore, you can tailor assessment settings, including selecting a target Azure region, pricing and savings preferences, media type, redundancy options, and choosing either performance-based or as-is sizing. The assessment offers a detailed overview of migration readiness and economic factors, supporting well-informed decisions for subsequent actions. Key insights include: Readiness states for each file share (Ready, Ready with conditions, or Not ready) Recommended Azure Files SKU based on performance and suitability. For example, Azure Files provisioned v2 premium SSD for a NFS 4.1 share as target. Monthly cost estimates for the recommended SKU. On‑premises vs Azure TCO comparison, helping customers understand long‑term cost implications Azure Migrate also identifies potential warnings and provides necessary remediation guidance. For example, when a redundancy type is not available in an Azure region, it is flagged as ready with conditions and recommend choosing an alternative redundancy type and fallback to next available option. Prepare for migration with appropriate tools Once you are ready to migrate, Azure Migrate also highlights recommended migration tools as part of the assessment. Azure Storage Mover is the default recommended path for file share migrations—providing a first party, managed service to move data efficiently to Azure Files. To learn more about Microsoft’s recommendations to unstructured data migration using other tools, please visit: https://aka.ms/migratemydata. Learn more about creation of assessment and review assessment to get started with understanding your on-premises file shares estate today. Write to us at migratemydata@microsoft.com for any questions or feedback - we look forward to hearing from you!Customer Offerings: Azure Local - Implementation, Migration, and Management
Hi everyone! Brandon here, back once again to talk to you about a couple of new offerings that have just been released to assist our Unified customers with their on-premises virtualization needs! I continue to have the privilege of leading a great program and team helping customers to migrate from VMware to more cost-effective and/or modern solutions. These new offerings are <drum roll>: Hyper-V - Implementation, Migration, and Management Azure Local - Implementation, Migration, and Management NOTE: These offerings do not provide hands on keyboard support, do not create custom documentation for customers, and cannot provide direct support for any 3 rd party products that may be used in the process of migrations. Many customers are reassessing their virtualization strategies and are actively exploring alternatives to VMware that align with long‑term hybrid cloud goals. Azure Local offers a purpose‑built platform that combines proven Windows Server–based virtualization with Azure services and management tooling, enabling customers to modernize on‑premises infrastructure while maintaining tight integration with Azure management, security, and governance capabilities. Whether driven by changing licensing models, cost optimization, or the need for deeper hybrid cloud integration, a successful transition requires more than a technology shift—it requires a structured, outcome‑focused approach. While we are providing these new offerings to customers, you do also have the option of more extended engagements as well that are broader in scope and more tailored to the end goals while we work side by side with you. If you are a Unified customer and looking to move off of VMware to Azure Local, or you just need help with your on-premises Microsoft virtualization technologies in general, have your account manager (CSAM) reach out to me! Planning to go at it alone?? Virtually (no pun intended) every environment reviewed by my team (and that is a LOT) that was set up prior to our review will have configuration issues, at times warranting extensive efforts to correct. Problem 1: There are some potentially significant differences between the way VMware and Azure Local are architected from the start, especially in areas of networking and storage, where mimicking methods used in the VMware world can actually lead to performance degradation in your target Azure Local environment. Problem 2: Your management method must also change. Additionally, if you are converting/migrating to Azure Local, the available methods need to be determined, the terminology and functional differences identified and learned…there can be a lot to unpack in this area. Problem 3: Perhaps the most obvious is that this may be a new platform for your team, and its important for them to gain experience through guided actions and knowledge transfer on the fly for those questions they really have, which is exactly what we aim to provide in guiding implementations and migrations! A Structured Engagement Model Successful Azure Local implementations are built around a guided engagement model rather than a one‑size‑fits‑all checklist. Each engagement is tailored to the customer environment, acknowledging that differences in scale, workloads, hardware, and operational maturity directly influence the migration approach. The framework emphasizes collaboration, clarity of expectations, and incremental progress instead of disruptive “lift‑and‑shift” execution. Whether we are talking about migration from another virtualization platform, or simply trying to reduce costs by implementing a new virtualization infrastructure, we’re here to help! Key Phases of an Azure Local Implementation and/or Migration Most Azure Local implementation and migration engagements progress through a common set of phases: Engagement scoping and technical discovery to understand goals and current state (this is the conversation I, or one of the TZ Leads in the VMware Migration Program have with customers) Planning and design aligned to business and operational outcomes, with a limited scope Deployment and configuration validation to ensure platform readiness Security and migration testing to reduce risk and confirm workload compatibility Feature enablement, including Azure Arc, to extend governance and management While these phases provide structure, the sequence and depth of each stage are adapted based on the customer environment and objectives. Key Outcomes for Customers Organizations that engage in Azure Local implementation or migration efforts commonly achieve: Deeper familiarity with Microsoft virtualization technologies Successful deployment of PoC, pilot, or production environments Validated test migrations of virtual machines Identification and resolution of technical blockers Increased confidence in operational readiness These engagements are advisory and collaborative in nature, prioritizing customer enablement and success. Knowledge Transfer and Operational Readiness A central focus of the Azure Local engagements is ensuring that IT teams are prepared to operate the platform long after deployment completes. Knowledge transfer is embedded throughout the engagement through working sessions and direct participation in implementation activities. This approach helps organizations move confidently into steady‑state operations without relying on long‑term external support. As I mentioned above, if you do feel you will need longer term support, we have your back on that front as well. Looking Beyond Migration An Azure Local migration is often the first step in a broader transformation journey. Many organizations use this transition to enable hybrid management, strengthen security posture, and prepare for future application or cloud modernization initiatives. When approached strategically, Azure Local becomes a platform for long‑term innovation and a step to modernizing your infrastructure, not just a replacement hypervisor. Conclusion Moving from VMware to Azure Local is not simply a technical migration—it is an opportunity to modernize how infrastructure is managed and governed. With structured planning, guided execution, and a focus on operational readiness, organizations can transition with confidence to a virtualization platform built for today’s hybrid cloud realities and tomorrow’s growth. Thanks for reading, and maybe we’ll talk soon!Fast cloud migration, measurable ROI: Forrester Total Economic Impact study of Azure VMware Solution
Many organizations are balancing near-term continuity for VMware-based workloads with longer-term cloud modernization goals – all while managing cost, security, and resiliency. Azure VMware Solution (AVS) is built for this moment: a Microsoft-managed service verified by VMware that enables running VMware Cloud Foundation (VCF) workloads (vSphere, NSX-T, vSAN, HCX) on dedicated Azure infrastructure. It gives organizations a practical way to move or extend VMware environments into Azure while maintaining operational consistency and leveraging the skills of existing VMware teams. To help leaders quantify the potential value of this approach, Microsoft commissioned Forrester Consulting to conduct The Total Economic Impact™ (TEI) of Microsoft Azure VMware Solution (March 2026). The study models the financial impact over three years and risk-adjusts results. Access the full study here: aka.ms/AVS-TEI Here’s what the study found and how IT leaders can use it as a framework for decision-making: Topline results from the study Forrester’s risk-adjusted financial analysis for a composite organization 1 found: 341% ROI over three years 2 $5.6M net present value (NPV) 3 <6 months payback 4 These metrics are meaningful on their own, but the bigger story for leadership is where the value comes from: improved operational stability, reduced infrastructure costs driven by data center exit and hardware refresh avoidance, and the ability to redeploy skilled IT resources from maintenance to modernization. The customer journey: why organizations turn to AVS AVS offers a bridge: Lift and shift VMware workloads into Azure without forcing immediate re-platforming then, modernize at a pace aligned to business priorities. In the study, Forrester interviewed decision-makers with experience using AVS. Interviewees described common challenges that led them to invest in AVS, including: Fragmented systems that complicated and slowed operations: Inherited stacks, duplicated tools, and unclear ownership of orphan machines made operations and governance harder. Rising cost and complexity of on-premises operation: Colocation fees, energy and cooling costs, server refresh cycles, and tooling renewals were difficult to justify against cloud economics. Limited capacity and skills to refactor at scale: Teams wanted the cost and agility benefits of the cloud but didn’t have the time or skills to rewrite hundreds (or thousands) of VMs on aggressive timelines. Security and audit pressure: Disparate environments and legacy access models elevated risk and created audit friction. Operational variability and end-user experience: VPN dependencies, inconsistent remote tooling, and endpoint logistics led to slow first-call resolution and downtime risks. Three quantified benefits that drive the business case 1) Reduction in downtime and associated costs by 80% In the study, interviewees reported that moving VMware workloads to AVS improved day-to-day reliability by eliminating fragile on-premises workflows and leveraging Azure’s managed infrastructure. Examples included fewer VPN-related failures, faster issue resolution through centralized tooling, and stronger service-level performance. For leadership teams, this benefit is about more than avoided cost. Better up time protects customer experience, employee productivity, and reduces the operational noise that can slow modernization programs. 2) Reduced infrastructure costs through data center exit, refresh avoidance, and cleanup A second driver is the ability to avoid or eliminate significant portions of data center cost and refresh spend. In the study, interviewees described using AVS to close data centers, avoid upcoming hardware refresh cycles, and reduce ongoing capital and operating costs. Importantly, interviewees also reported that migration waves prompted additional savings through portfolio hygiene by validating each VM, decommissioning redundant systems, and rightsizing oversized workloads. Those actions helped organizations reduce their ongoing compute, storage, and licensing footprint after migration. 3) Redeployment of 50% of IT team members from maintenance to modernization The TEI study quantifies a practical advantage of a managed VMware environment in Azure: fewer hours spent on hardware lifecycle, cluster patching, upgrades, and other routine data center tasks. In practice, many leaders treat this as capacity created rather than budget eliminated: the opportunity to shift experienced engineers toward modernization, automation, cloud governance, proactive incident prevention, and higher-value business initiatives. Unquantified benefits organizations should weigh Beyond the quantified categories, the study also highlights benefits that are strategically important, but not fully quantified in the model: Acceleration of future modernization: With workloads running in Azure via AVS, organizations can integrate platform services across security, identity, data, and analytics and build a runway for new capabilities, including AI-driven scenarios in Azure. Fast, cost-effective migration of legacy workloads: Interviewees described avoiding major consulting or hiring costs that would have been required to refactor complex workloads into cloud-native designs. Improved audit readiness and security posture: Consolidating fragmented environments into governed Azure landing zones can simplify audit preparation and strengthen governance and monitoring. For many leadership teams, these benefits strengthen the business case because they support broader transformation outcomes that extend beyond infrastructure cost alone. Things to consider in your own decision process If you’re building a business case to move workloads to Azure, whether it be lifting and shifting to AVS or replatforming and refactoring to Azure IaaS and managed services, consider mapping your environment across these areas: Data center timelines: Refresh cycles, colocation exit deadlines, and contract constraints. Operating model readiness: How quickly teams can adopt cloud-native services versus preserving VMware operations during transition. Modernization roadmap: Determine which applications are candidates for investment in replatforming, refactoring, replacement, or retirement once in Azure. Next steps Read the full TEI study: aka.ms/AVS-TEI Explore more about AVS: aka.ms/AzureVMwareSolution Get the VMware to Azure VMware Solution Planning Guide: aka.ms/VMwareToAVSguide Learn more about the Azure Copilot migration agent: aka.ms/migrate/AMA 1 Composite organization: Forrester designed a composite organization based on characteristics of the interviewees’ organizations. 2 Return on Investment (ROI): A project’s expected return in percentage terms. ROI is calculated by dividing net benefits (benefits less costs) by costs. 3 Net present value (NPV): The present or current value of (discounted) future net cash flows given an interest rate (the discount rate). A positive project NPV normally indicates that the investment should be made unless other projects have higher NPVs. 4 Payback: The breakeven point for an investment. This is the point in time at which net benefits (benefits minus costs) equal initial investment or cost.Unlocking AI-Ready Unstructured Data at Scale with Komprise and Azure
Why Move Unstructured Data to Azure On-premises storage environments are often over-provisioned to accommodate future growth, driving costs and operational complexity. Azure’s cloud-based storage platform enables organizations to right-size their environments through elastic scaling and Microsoft’s global economies of scale. This flexibility is especially critical for regulated industries managing sensitive data at massive scale. Azure also delivers enterprise-grade security capabilities, including immutability and object locking, which protect data against ransomware and malicious deletion. By moving unstructured data to Azure, organizations gain not only cost efficiency, but also a more resilient and secure data foundation. A strong example of this approach is the Florida Department of Environmental Protection. With support from Komprise and funding through Microsoft’s Azure Migrate program, the department successfully migrated large volumes of data to Azure, enabling the phase-out of on-premises data centers while maintaining access to data for analysis across regions. This demonstrates how organizations can modernize data infrastructure without disrupting business operations. Hybrid Cloud and Intelligent Tiering Most enterprises operate in hybrid environments, balancing on-premises systems with cloud storage. Komprise and Microsoft address this reality by enabling intelligent tiering of unstructured data across environments. Using Azure Blob Storage, organizations can transparently move cold and infrequently accessed data to lower-cost cloud tiers while keeping frequently accessed data close to applications and users. This approach reduces pressure on expensive on-premises storage infrastructure without sacrificing accessibility. For example, a major healthcare organization achieved approximately $2.5 million in storage cost savings by tiering cold data to Azure while maintaining seamless access for clinicians and applications. AI Depends on Data Curation AI's efficacy is reliant on data quality. The need for high-quality and curated data cannot be enough emphasized so AI can generate meaningful and accurate results. In partnership with Komprise, organizations can efficiently cleanse and enhance their data by identifying and eliminating redundancies. By curating data before AI processes, organizations have achieved impressive accuracy improvements—as demonstrated by a financial services firm that increased their AI output accuracy by 135%. Making Data AI-Ready on Azure Azure provides a powerful execution platform for AI and Komprise enhances this by bringing structure to unstructured data through its data classification, metadata extraction capabilities and with search, curation and intelligent ingestion via its data workflow and governance capabilities. These ensure only high-quality, relevant and compliant data feeds AI workflows. This approach enables smoother integration with AI services and applications such as Microsoft Foundry and Copilot, while preserving flexibility. By treating data readiness as a foundational step, organizations can accelerate time to value from AI while reducing risk. Security, Governance, and Responsible AI As cyber threats and regulatory requirements continue to intensify, security and governance are no longer optional. Organizations must manage data flows carefully, maintain auditability, and protect sensitive information—especially when using data for AI. Azure’s built-in security capabilities, including immutability, versioning, and backup, provide a strong foundation for protecting unstructured data. Komprise complements these capabilities by automating data governance policies, enforcing compliance, and helping organizations maintain visibility and control across hybrid environments. Together, they enable organizations to use data safely and responsibly, supporting both regulatory compliance and responsible AI practices. Conclusion As AI adoption accelerates, success increasingly depends on data readiness rather than algorithms alone. Clean, well-governed, and properly placed data is the foundation for meaningful AI outcomes. By combining Azure’s scalable and secure cloud platform with Komprise’s intelligent data management, organizations can reduce costs, strengthen security, and unlock real value from unstructured data at scale. To learn more, watch the Microsoft–Komprise fireside chat, where we discuss customer examples, architectural best practices, and proven approaches for managing unstructured data across hybrid environments. We also invite you to explore our joint Azure and Komprise solutions to see how you can move from data sprawl to AI value while maintaining control, security, and flexibility. In a recent fireside chat now available on YouTube, Azure Storage VP Aung Oo joined Komprise COO Krishna Subramanian to explore how Azure and Komprise are empowering customers to mobilize, curate, and optimize unstructured data to make it AI-ready. To leverage the Storage Migration Program with Komprise to migrate your data to Azure find more information at Microsoft Marketplace. To take advantage of the full Komprise suite including automated tiering and smart workflows – additional details are available here.
AWS to Azure Migration — From the Cloud Economics & FinOps Lens
“ROI fails when FinOps joins late.” That single pattern explains why many cloud migrations deliver technical success but financial disappointment. Workloads move. SLAs hold. Teams celebrate go‑live. Then the CFO asks: Where are the savings we modeled? In most cases, FinOps was engaged after architecture decisions were locked, licenses were double‑paid, and governance debt had already accumulated. This article frames AWS‑to‑Azure migration through a FinOps lens—not to chase immediate modernization, but to deliver defensible, incremental cost savings during and after migration, without increasing risk. Azure migration guidance consistently emphasizes a structured, phased approach—discover, migrate like‑for‑like, stabilize, then optimize. From a FinOps perspective, this sequencing is not conservative—it is economically rational: Like‑for‑like preserves performance baselines and business KPIs Cost comparisons remain apples‑to‑apples Optimization levers can be applied surgically, not blindly The real value emerges in the first 90 days after migration, when cost signals stabilize and commitment‑based savings become safe to apply. {TLDR: Cloud migrations miss ROI when FinOps joins late. AWS → Azure migrations deliver real savings when FinOps leads early, migrations stay like‑for‑like, and optimization is applied after costs stabilize. Azure enables this through four levers: AI‑assisted planning (Copilot + Azure Migrate), cheaper non‑prod with Dev/Test pricing, license reuse via Azure Hybrid Benefit, and low‑risk long‑term savings with Reservations—across compute and storage. Result: lower migration risk, controlled spend, and sustainable savings post‑move.} This Article talks about top 4 FinOps Levers in AWS → Azure Migration 1. Azure Copilot Migration Agent + Azure Migrate. Azure Copilot Migration Agent (currently in public preview) is a planning‑focused, AI‑assisted experience built on Azure Migrate. It analyzes inventory, readiness, landing zone requirements, and ROI before execution. You can interact with the Agent using natural language prompts to explore inventory, migration readiness, strategies, ROI considerations, and landing zone requirements. From a FinOps perspective, this directly translates into faster decision cycles and lower planning overhead. By simplifying and compressing activities that traditionally required weeks of manual analysis or external managed services support, organizations can reduce the cost of migration planning, accelerate business case creation, and bring cost and ROI discussions forward—before environments are deployed and financial commitments are made. 2. Azure Dev/Test pricing: Azure Dev/Test pricing provides discounted rates for non‑production workloads for eligible subscriptions, significantly reducing dev and test environment costs (Azure Dev/Test pricing). You can save up to 57 percent for a typical web app dev/test environment running SQL Database and App Service. Unlike other Cloud Providers, this directly reduces environment sprawl costs, which often exceed production waste post‑migration. It also enables wave‑based migration by lowering the cost of parallel environments, allowing teams to migrate deliberately rather than under financial pressure. 3. Azure Hybrid Benefit: Azure Hybrid Benefit allows organizations to reuse existing Windows Server, SQL Server, and supported Linux subscriptions (RHEL and SLES) on Azure, reducing both migration and steady‑state run costs. It enables license portability across Azure services, helping organizations avoid repurchasing software licenses they already own and redirect savings toward innovation and modernization. During migration, Azure Hybrid Benefit is especially impactful because it addresses migration overlap costs. The 180‑day migration allowance for Windows Server and SQL Server allows workloads to run on‑premises and in Azure simultaneously, supporting parallel validation, phased cutovers, and rollback readiness without double‑paying for licenses. For Linux, Azure Hybrid Benefit enables RHEL and SLES workloads to move to Azure without redeployment, ensuring continuity and avoiding downtime. From a FinOps perspective, this reduces one of the most underestimated migration cost drivers, delivering up to 76% savings versus pay‑as‑you‑go pricing for Linux and up to 29% versus leading cloud providers for SQL Server, while keeping migration timelines driven by readiness—not cost pressure. 4. Azure Reservations: Azure Reservations enable organizations to reduce costs by committing to one‑year or three‑year plans for eligible Azure services, receiving a billing discount that is automatically applied to matching resources. Reservations provide discounts of up to 72% compared to pay‑as‑you‑go pricing, do not affect the runtime state of workloads, and can be paid upfront or monthly with no difference in total cost. Importantly, Azure Reservations apply not only to compute and database, but also to storage services like Azure Blob storage, Azure Data Lake Gen2 Storage and Azure Files (for storage capacity) which often represent a significant portion of enterprise cloud spend. In the context of migration, Azure Reservations matter because they allow FinOps teams to optimize baseline costs across both compute and data layers once workloads stabilize. Unlike AWS, where commitment‑based discounts are largely compute‑centric and storage services such as Amazon S3 do not offer reservation‑style pricing, Azure enables long‑term cost optimization for persistent storage footprints that continue to grow post‑migration. Additionally, Azure Reservations offer greater flexibility—customers can modify, exchange, or cancel reservations through a self‑service program, subject to defined limits. This is particularly valuable during wave‑based migrations, where workload shapes evolve over time. From a FinOps perspective, Azure Reservations allow organizations to commit to predictable savings with broader scope and lower risk, covering both infrastructure and data‑heavy workloads common in migration scenarios. Successful migrations are no longer measured by workloads moved, but by cost control maintained and value unlocked. Azure’s FinOps‑aligned migration capabilities allow organizations to reduce risk first, optimize deliberately, and ensure that savings are sustained long after the last workload migrates.
Azure Migrate: Now Supporting Premium SSD V2, Ultra and ZRS Disks as Targets
We are excited to announce that we have added assessment and migration support for Premium SSD v2,Ultra Disk and ZRS Disks as storage options in Azure Migrate, with Premium SSD v2 and ZRS Disks now Generally Available and Ultra Disk in Public Preview. This further enhances the assessment and migration experience Azure Migrate offers and allows you to bring your mission critical workloads to these key Azure Storage offerings seamlessly. What’s New Additional Assessment targets: Premium SSD v2 and Ultra Disks As part of the migration journey to the cloud, Azure Migrate makes recommendations on what cloud resources to move your workloads to. Post successful discovery of on-prem workloads, Azure Migrate utilizes multiple parameters like size, IOPS, and throughput to make target recommendations in Azure. Instead of just static sizing, assessments can map actual performance demand to Azure VM and disk SKUs, optimizing performance, resiliency, and total cost of ownership to give you a tailored recommendation that fits your cloud migration journey. With today’s announcement, we are adding more supported disks to Azure Migrate, providing you with improved guidance to ensure that you land on the resources in Azure that align with your goals. If you are looking to migrate your demanding on-premises applications and workloads to Azure, you will benefit from these advanced disk options, which come with greater flexibility and enhanced performance. For example, Premium SSD v2 disks decouple capacity from performance, allowing you to dial IOPS and throughput precisely to your workload’s needs. For high-end scenarios, Ultra Disks offer the highest performance among Azure managed disks, while ZRS disks provide zonally redundant storage to further protect your data. With these included in Azure Migrate’s assessment engine, you end up with a right‑sized, data‑driven target configuration that aligns Azure storage choices with how workloads actually run. Below is a snippet of how the assessment recommendations appear in Azure Migrate for Premium V2 SSD disks. Customers can get details on the disk type, provisioned IOPS, throughput, cost, and seamlessly migrate using the assessment to the recommended target. Migrating to Premium SSD v2 and Ultra Disks in Azure Migrate When Premium SSD v2 or Ultra disks are identified as the optimal targets based on workload characteristics during the assessment phase, they can be auto-populated seamlessly into the migration process. This workflow accelerates the lift-and-shift of on-prem disks to Azure’s high performance managed disks. Below is a snippet from the replication step during migration: Assessing and Migrating to ZRS Disks in Azure Migrate Azure Migrate also has enhanced resiliency by supporting migration to ZRS Disks during Migration. Zone-Redundant Storage (ZRS) for Azure Disks synchronously replicates data across three physically separate availability zones within a region - each with independent power, cooling, and networking - enhancing Disk availability and resiliency. While creating Assessments in Azure Migrate, you can configure a range of target preferences, including the newly introduced option to enable zone-redundant storage (ZRS). You can opt-in to enable ZRS Disk recommendations by editing the Server (Machine) default settings in the Advanced settings blade. Since the preview announcement for these capabilities, recommendations for Ultra, Premium v2 and ZRS Disks have led to petabytes of data being successfully migrated into Azure. Below is a quote from our Premium v2 (Pv2) customer that was provided during the preview: "Through this preview, we have Pv2 disks recommendations in place of Pv1, which is beneficial for our estate during migration in terms of both cost and performance. We are now awaiting General Availability " – Yogesh Patil, Cloud Enterprise Architect, Tata Consultancy Services (TCS) With these added capabilities, Azure Migrate and Azure disk storage are more ready than ever for migrating your most demanding and mission-critical workloads. Learn more about Azure Migrate and for expert migration help, please try Azure Accelerate. You can also contact your preferred partner or Microsoft field for next steps. Get started in Azure today!Azure Migrate Physical Server Discovery - ServerDiscoveryService.exe Crash Bug
Summary The Azure Migrate appliance for physical server discovery fails to complete discovery due to a crash bug in ServerDiscoveryService.exe. The service successfully connects to target servers but crashes during WSMan transport cleanup before any discovery data is collected. Environment Appliance OS: Windows Server 2022 Standard Evaluation (Build 20348) Appliance Type: Physical server discovery (script-based installation) ServerDiscoveryService.exe Version: 2.0.3300.663 .NET Version: 8.0.22 (CoreCLR 8.0.2225.52707) Target Servers: Windows Server (various) and Linux, all on-premises Discovery Agent Version: 2.0.03300.663 Appliance Configuration Manager Version: 6.1.294.1847 Symptoms Target server validation succeeds in the appliance configuration manager CIM sessions connect successfully (logs show "TestConnection succeeded for CIM Session with HTTP protocol") Connections are immediately disposed with "Disposing all connections when the process is shutdown" No discovery data is collected Azure portal shows error 60001 with misleading "Could not load file or assembly 'Microsoft.Management.Infrastructure'" message Discovery status remains "Discovery Incomplete" for all Windows servers Root Cause The ServerDiscoveryService.exe process crashes repeatedly with an unhandled NullReferenceException in the WSMan transport finalizer. This is visible in the Windows Application Event Log: Application: ServerDiscoveryService.exe CoreCLR Version: 8.0.2225.52707 .NET Version: 8.0.22 Description: The process was terminated due to an unhandled exception. Exception Info: System.NullReferenceException: Object reference not set to an instance of an object. at System.Management.Automation.Remoting.Client.BaseClientTransportManager.CloseAsync() at System.Management.Automation.Remoting.Client.WSManClientSessionTransportManager.CloseAsync() at System.Management.Automation.Remoting.Client.BaseClientTransportManager.Finalize() The crash also triggers an access violation: Faulting application name: ServerDiscoveryService.exe, version: 2.0.3300.663 Exception code: 0xc0000005 Faulting application path: C:\Program Files\Microsoft Azure Server Discovery Service\ServerDiscoveryService.exe These crashes occur approximately every 10 minutes. Troubleshooting Completed Verified manual connectivity works: PowerShell Invoke-Command and New-CimSession both succeed from the appliance to target servers using the same credentials Verified WinRM configuration: Targets have WinRM HTTP listener on port 5985, LocalAccountTokenFilterPolicy is set to 1 Verified assemblies exist: Microsoft.Management.Infrastructure.dll is present in the GAC on both the appliance and target servers Tested both FQDNs and IP addresses: Same failure occurs with both Tested both local and domain credentials: Same failure with properly formatted credentials (domain\user) Verified time synchronization: Appliance clock is accurate Verified appliance is up to date: All components show current versions Tested with fresh appliance: Previously tried OVA-based appliance with similar results; rebuilt using Microsoft's PowerShell script installer on clean Server 2022—same issue Relevant Log Locations C:\ProgramData\Microsoft Azure\Logs\ConfigManager\ClientOperations_*.log - Shows successful CIM connections followed by immediate disposal C:\ProgramData\Microsoft Azure\Logs\ConfigManager\ApplianceOnboarding-Portal-*.log - Shows error 60000 "UnhandledException" with message "Internal error occured." (note: typo is in original) Windows Event Log (Application) - Contains the actual crash stack traces Conclusion This is a code defect in ServerDiscoveryService.exe—a null reference exception in a finalizer is a programming error that cannot be caused by configuration or environmental factors. The service connects successfully but crashes before completing its work. Request Please escalate to the Azure Migrate engineering team for a bug fix in ServerDiscoveryService.exe version 2.0.3300.663.
Transforming Data migration using Azure Copilot
Introduction Data migration is critical, yet it is one of the most complex tasks in any cloud adoption journey. Whether you’re moving workloads from on-premises environments, consolidating hybrid deployments, or transitioning from other cloud providers, the migration process involves multiple tools, intricate planning, and risk management. What’s New in Azure Copilot With the new “Storage Migration Solutions Advisor” capability in Azure Copilot, Microsoft is transforming this experience into a conversational, AI-driven workflow that accelerates decision-making and reduces operational friction. Why This Matters Traditionally, customers faced challenges such as: Weeks of advisory time spent choosing the right migration tool amongst the many (Azure Storage Mover, AzCopy, Data Box, File Sync etc., and various Partner solutions). High support overhead due to missteps during migration if a sub-optimal tool or service is used. The Storage Migration Solutions Advisor feature introduces: Conversational Guidance: Share your migration needs with Copilot, like talking with an Azure advisor. Scenario-Based Recommendations: Tailored suggestions based on transfer data size, protocol, and bandwidth. Expanded Coverage: Supports on-premises to Azure, cloud-to-cloud (AWS/GCP to Azure), and hybrid scenarios. Native and Partner solutions: Copilot can recommend Microsoft-native (1P) solutions and third-party (3P) tools for specialized scenarios —ensuring flexibility for enterprise needs. User Workflow: Step-by-Step Initiate Migration: Start with a prompt like “How can I migrate my data into Azure?” or “What’s the best tool for moving 1 PB from AWS S3 to Azure Blob?” Provide Details: Copilot will guide you by asking for details about your requirement, such as source type (e.g., NAS, SAN, AWS S3, GCS), protocol (e.g., NFS, SMB, S3 API), target (e.g., Azure Blob, Files, Elastic SAN), data size, and bandwidth. Azure and Partner Solutions: Based on your requirements, Copilot recommends the best-fit Azure solution. If a partner solution is better suited to your requirement, Copilot will also select and recommend the appropriate solution with links to its documentation and/or its Azure marketplace page. Examples Copilot generates recommendations for migrating an on-premises file share to Azure Files. Figure 1 Prompt from user invokes Copilot Migration recommendation workflow Figure 2 Copilot understanding protocols that customer environment has access to Figure 3 Copilot asking user's target Storage type Figure 4 Copilot gathering inputs on data size, network bandwidth availability and transfer direction Figure 5 Copilot recommendation for user scenario Copilot recommends Partner solutions for specialized migration scenarios Figure 1 Prompt from user invokes Copilot Migration recommendation workflow Figure 2 Copilot understanding protocols that customer environment has access to Figure 3 Copilot asking user's target Storage type Figure 4 Copilot gathering inputs on data size, network bandwidth availability and transfer direction Figure 5 Copilot recommendation for user scenario Pro Tips Run a small proof-of-concept migration to estimate throughput and timing, especially for large datasets or small file sizes. Combine Copilot’s recommendations with Azure Storage Discovery for visibility into your storage estate after migration. Getting Started Navigate to Azure Portal → Copilot. Try prompts like: o “Help me migrate an NFS share to Azure Files.” o “What’s the best tool for moving 1 PB from AWS S3 to Azure Blob?” Explore Manage and migrate storage accounts using Azure Copilot | Microsoft Learn for detailed guidance. Ready to simplify your migration journey? Start using Azure Copilot’s Storage Migration Solutions Advisor today and experience AI-driven efficiency for your cloud transformation.Accelerate Cloud Migration with Wave Planning in Azure Migrate
Introduction Migrating to the cloud is more than a technical upgrade - it's a strategic leap toward agility, scalability, and innovation. Yet, for many organizations, the journey can feel overwhelming, with complex dependencies and business risks threatening to slow progress. Today, we’re excited to announce the public preview of wave planning in Azure Migrate - a new capability designed to make large-scale migrations more manageable and predictable. With wave planning, you can now organize your migration journey into logical, iterative waves, enabling your teams to plan, execute, and track progress with greater speed, confidence, and control. Key Benefits: Accelerate migrations: Quickly identify and prioritize “quick win” workloads and applications by surfacing relevant information from discovery and assessments. Reduced risks: Group systems that work together using application grouping, dependency analysis and tags allowing safer iterative planning. Increased predictability: Visualize migration progress and timelines centrally, enabling continuous feedback and proactive adjustments. Application-centric migrations and modernization: Plan, execute, and track every step at the application level for greater control and business alignment. Wave Planning in Azure Migrate Concepts and Stages Planning Stage During the planning stage, you can organize their applications and workloads into waves and determine the order in which these groups will be migrated. By doing so, you can establish a comprehensive plan that outlines the specific steps, timelines, and resources required for each wave, ensuring a structured and efficient approach to migration and modernization. Key aspects of the wave planning in this stage includes: Group and sequence applications and workloads using tags, dependency analysis, and workload data. Set Azure targets and migration tools based on Azure Migrate assessment recommendations. Outline planning steps, timelines, and create a wave plan for application migration and modernization. Execution Stage Using wave planning you can perform the migration and modernization activities of the application withing the wave, as per the plan and track the progress as workloads are moved, tested, and migrated / modernized in Azure. Key aspects of wave planning at this stage includes: Centrally track migration and modernization activities for all applications and workloads within the wave. You can start migrating servers and databases using Server migration and Azure database Migration Service using in-product integrations. Integrated end-to-end workflows to facilitate server migrations from on-premises environments and various public clouds to Azure Virtual Machines. Monitor and visualize wave timelines in relation to planned migration and modernization dates and implement corrective actions as required based on status updates. In a nutshell, wave planning transforms migration from a one-time event into a continuous journey of improvement. By iterating, learning, and adapting, organizations build institutional knowledge, reduce risk, and unlock the full benefits of cloud adoption. Getting Started Ready to accelerate your migration? Get start today: Learn more about using Azure Migrate – Wave planning. Explore wave planning guidance through the Cloud Adoption Framework. Learn more about Azure Migrate. Checkout application-centric migration in Azure Migrate.
