--- title: "Reducing Risk During Application Migrations" date: "2026-11-02T10:45:10+00:00" url: "https://faddom.com/reducing-risk-during-application-migrations/" description: "Reducing application migration risk depends on accurate dependency mapping, wave planning, and controlled cutover. Faddom is best for agentless dependency mapping and wave planning, Device42 for discovery with automated move groups, Azure Migrate for Azure-bound workloads, and HPE Zerto Software for replication with rollback." --- # Reducing Risk During Application Migrations **TL;DR:** Reducing application migration risk depends on accurate dependency mapping, wave planning, and controlled cutover. Faddom is best for agentless dependency mapping and wave planning, Device42 for discovery with automated move groups, Azure Migrate for Azure-bound workloads, and HPE Zerto Software for replication with rollback. ## What Is Application Migration Risk? Reducing risk during [application migrations](https://faddom.com/what-is-application-migration/) requires thorough dependency mapping, comprehensive backups, and phased deployment strategies to prevent downtime and data loss. Various problems can occur when moving an application from one environment to another, such as from on-premises infrastructure to the cloud or between cloud providers. These risks can affect application availability, performance, security, data integrity, and business operations during or after the migration. Table of contents 1. [What Is Application Migration Risk?](#what-is-application-migration-risk) 2. [Application Migration Risk Reduction Tools at a Glance](#application-migration-risk-reduction-tools-at-a-glance) 3. [Common Risks and Challenges During Application Migrations](#common-risks-and-challenges-during-application-migrations) 4. [Best Practices for Reducing Risk During Application Migrations](#best-practices-for-reducing-risk-during-application-migrations) 5. [Notable Application Migration Planning Solutions](#notable-application-migration-planning-solutions) 6. [Conclusion](#conclusion) **Key migration risks:** - **Incomplete visibility into IT infrastructure:** Missing information about servers, databases, storage, network components, and cloud resources can cause teams to overlook critical migration requirements. - **Undocumented application dependencies:** Unknown connections between applications, databases, APIs, middleware, and external services can break integrations or interrupt data flows. - **Outdated asset inventories and configuration data:** Incorrect system, software, and configuration records can lead to compatibility problems and poor migration planning. - **Unexpected downtime and service disruptions:** Deployment failures, network problems, and overlooked dependencies can interrupt applications and connected business services. - **Data loss and integrity issues:** Transfer, synchronization, conversion, and reconciliation failures can result in missing, duplicated, or corrupted data. - **Application performance degradation:** Differences in compute, storage, networking, latency, and configuration can reduce application performance after migration. **Proven mitigation strategies include:** - **Maintain an accurate IT asset inventory:** Continuously discover and validate infrastructure, software, configurations, ownership, and cloud resources before migration. - **Use automated application dependency mapping:** Identify connections between applications, databases, infrastructure, and external services to prevent broken dependencies. - **Establish a pre-migration infrastructure baseline:** Record performance, utilization, configurations, network traffic, and service availability for comparison after migration. - **Group interdependent applications into migration waves:** Move closely connected applications and infrastructure together or in a coordinated sequence. - **Start with low-risk applications:** Use initial migrations to validate deployment, networking, monitoring, rollback procedures, and migration runbooks before moving critical workloads. - **Validate network and infrastructure requirements:** Confirm compute, storage, bandwidth, routing, DNS, firewall, load balancing, and external connectivity requirements before migration. - **Test functionality and performance before cutover:** Validate application functions, integrations, authentication, database operations, performance, and capacity against defined acceptance criteria. - **Use phased migration strategies:** Reduce downtime with approaches such as incremental synchronization, replication, blue-green deployments, and canary releases while maintaining defined rollback procedures. **In this article:** - [Application Migration Risk Reduction Tools at a Glance](#application-migration-risk-reduction-tools-at-a-glance) - [Common Risks and Challenges During Application Migrations](#common-risks-and-challenges-during-application-migrations) - [Best Practices for Reducing Risk During Application Migrations](#best-practices-for-reducing-risk-during-application-migrations) - [Notable Application Migration Risk Reduction Tools](#notable-application-migration-planning-solutions) ## Application Migration Risk Reduction Tools at a Glance The table below summarizes the key differences between the tools covered in this guide. We explore each tool in more detail in the sections that follow. | **Category** | **Solution** | **Best For** | **Key Strengths** | **Things to Consider** | |---|---|---|---|---| | Discovery and Dependency Mapping | **Faddom** | Agentless dependency mapping to plan migration waves | Maps hybrid servers, apps, and traffic flows without agents | Focused on discovery and mapping, not workload replication | | Discovery and Dependency Mapping | **Device42** | Discovery, CMDB, and automated move groups in one platform | Affinity Groups rebuild move groups around key services nightly | Setup and navigation can feel complex for smaller teams | | Discovery and Dependency Mapping | **BMC Helix Discovery** | Enterprise discovery feeding CMDB and service models | Blueprint-based service modeling and data reconciliation | Starter bundle pricing begins at $50,000 | | Assessment, Replication, and Cutover | **Azure Migrate** | Discovering, assessing, and moving workloads into Azure | Dependency maps, 6R assessments, and cost insights in one hub | Supports Azure as the only migration target | | Assessment, Replication, and Cutover | **AWS Transform MGN** | Rehosting servers to Amazon EC2 with minimal downtime | Continuous block-level replication with orchestrated cutover | Targets AWS only and focuses on rehosting | | Assessment, Replication, and Cutover | **HPE Zerto Software** | Replication-based migrations with testing and rollback | Continuous data protection with non-disruptive testing | Journal storage and pricing can be significant | | Assessment, Replication, and Cutover | **OpenText Migrate** | Any-to-any server migrations with fast cutover | Real-time byte-level replication with non-disruptive testing | Uses lightweight agents on systems in scope | ***Related content: Read our guide to*** [***application migration tools***](https://faddom.com/application-migration-tools-key-features-and-10-tools-you-should-know/) ## Common Risks and Challenges During Application Migrations ### Incomplete Visibility into IT Infrastructure Incomplete visibility into IT infrastructure makes it difficult to identify all the resources involved in an application migration. Applications may rely on servers, databases, storage systems, network components, and cloud services that are not fully documented. Without a complete view of these resources, migration teams may overlook critical components or incorrectly estimate the migration scope. This can lead to **configuration errors**, **unexpected dependencies**, and **service disruptions** during migration. Infrastructure discovery and monitoring tools help identify connected resources, map their relationships, and establish an accurate baseline before migration begins. ### Undocumented Application Dependencies Applications often depend on other applications, databases, APIs, middleware, and external services to function correctly. When these dependencies are undocumented, migration teams may move an application without the supporting components it needs. This can **break integrations**, **interrupt data flows**, and **cause application failures**. For example, moving an application to the cloud without accounting for its connection to an on-premises database may introduce network latency or connectivity issues. Application dependency mapping helps teams identify these relationships and determine which components must be migrated together or remain connected across environments. ### Outdated IT Asset Inventories and Configuration Data Outdated IT asset inventories and configuration data can cause migration teams to work with incorrect information about their infrastructure. Asset records may contain **obsolete server details**, **missing software installations**, **inaccurate configuration settings**, or **resources that are no longer in use**. These inaccuracies make it harder to plan migration sequences, assess compatibility, and allocate resources. For example, an incorrect operating system version in a configuration management database (CMDB) may cause teams to overlook compatibility issues with the target environment. Regular asset discovery and configuration validation help ensure migration decisions are based on current infrastructure data. ### Unexpected Application Downtime and Service Disruptions Application migrations can cause unexpected downtime when services are stopped, data is transferred, or infrastructure configurations are changed. Even migrations designed to minimize downtime may experience disruptions due to **failed deployments**, **network connectivity problems**, or **overlooked dependencies**. Downtime can interrupt business operations, prevent users from accessing critical services, and affect applications that depend on the migrated system. Migration teams can reduce this risk by scheduling changes during low-traffic periods, testing migration procedures, and using phased deployments. Rollback plans are also essential for restoring services if the migration fails. ### Data Loss and Data Integrity Issues Data loss and integrity issues can occur when transferring databases, files, and application data between environments. Common causes include incomplete transfers, incompatible data formats, synchronization failures, and errors during database conversion. These problems may result in **missing records**, **duplicated information**, or **corrupted data**. Data consistency becomes particularly challenging when applications continue processing transactions during migration. Changes made in the source environment must be synchronized with the target to prevent discrepancies. Teams can reduce these risks through backups, data validation, replication, and reconciliation checks before switching production workloads to the new environment. ### Application Performance Degradation Application performance may degrade after migration because the target environment has different compute resources, storage performance, network latency, or infrastructure configurations. Applications optimized for on-premises infrastructure may not perform as expected in cloud environments without additional tuning. For example, an application that frequently communicates with a database may experience **slower response times** if the database is moved to a different network or region. Insufficient CPU, memory, or storage throughput can also create **performance bottlenecks**. Establishing performance baselines before migration and conducting load tests afterward helps teams identify degradation and adjust resource allocation, configurations, or application architecture. ***Related content: Read our article about*** [***cloud migration risks and how to mitigate them***](https://faddom.com/top-16-cloud-migration-risks-in-2026-and-10-ways-to-mitigate-them/) ## Best Practices for Reducing Risk During Application Migrations ### Maintain an Accurate, Up-to-Date IT Asset Inventory An accurate IT asset inventory provides a reliable foundation for application migration planning. It should include servers, virtual machines, databases, storage systems, network devices, installed software, and cloud resources. Each asset record should contain relevant details, such as: - Operating system versions - Hardware specifications - Configuration settings - Ownership information Automated IT asset discovery tools help maintain inventory accuracy by continuously identifying infrastructure resources and detecting changes. This reduces the risk of overlooking critical assets, migrating unsupported systems, or making decisions based on outdated information. Teams should validate inventory data before migration and update records as workloads move to the target environment. ### Use Automated Application Dependency Mapping Automated application dependency mapping helps migration teams identify relationships between applications, infrastructure components, databases, and external services. Unlike manual documentation, automated tools can discover connections by analyzing: - Network traffic - Process activity - Communication patterns Dependency maps reveal which components must remain connected for an application to function correctly. For example, they can identify an application server that communicates with multiple databases or relies on authentication services hosted elsewhere. Teams can use this information to [plan migration sequences](https://faddom.com/migration-planning/), avoid breaking critical integrations, and identify dependencies that require additional testing. ### Establish a Complete Infrastructure Baseline Before Migration An infrastructure baseline documents the current state of the application environment before migration. It should capture: - Resource utilization - Application response times - Network traffic - Storage performance - System configurations - Service availability These measurements provide a reference for evaluating whether the migrated application performs as expected. Teams should collect baseline data over a representative period to account for peak workloads and normal usage patterns. After migration, they can compare performance and configuration data against the baseline to identify bottlenecks, missing resources, or unexpected changes. This makes it easier to distinguish migration-related problems from existing performance issues. ### Group Interdependent Applications into Migration Waves Grouping interdependent applications into migration waves reduces the risk of disrupting communication between connected systems. A migration wave is a set of applications and infrastructure components scheduled to move together during a defined migration period. Dependency mapping helps identify applications that: - Share databases - Exchange data - Rely on common infrastructure services These applications may need to migrate together or follow a coordinated sequence. For example, moving an application without its closely connected database could introduce latency or connectivity problems. Organizing migration waves around dependency relationships helps maintain service continuity and reduces the complexity of managing connections between environments. ### Prioritize Low-Risk Applications for Initial Migration Waves Starting with low-risk applications allows migration teams to validate their processes before moving business-critical systems. Suitable candidates typically have: - Few dependencies - Limited infrastructure requirements - Low business impact - Straightforward recovery procedures Initial migrations provide an opportunity to test deployment automation, network configurations, monitoring tools, and rollback procedures under production conditions. Teams can use the results to identify technical issues, improve migration runbooks, and refine time estimates. More complex applications can then be migrated using procedures that have already been tested and adjusted. ### Validate Network Connectivity and Infrastructure Requirements Network and infrastructure compatibility should be verified before migrating applications. Teams need to confirm that the target environment provides sufficient resources to support application workloads, including: - Compute capacity - Memory - Storage - Bandwidth - Network connectivity Connectivity checks should cover firewall rules, routing configurations, DNS resolution, load balancers, VPN connections, and access to external services. Teams should also verify network latency and bandwidth between components that will remain in different environments. Identifying these requirements early helps prevent connection failures, performance bottlenecks, and unexpected service disruptions after migration. ***Related content: Read our guide to*** [***data center capacity planning***](https://faddom.com/data-center-capacity-planning-kpis-methods-and-best-practices/) ### Test Application Functionality and Performance Before Cutover Application testing before cutover helps identify problems while the original production environment remains available. Testing should cover: - Core application functions - Database operations - Authentication - API integrations - Background processes - Communication with dependent services Performance testing is equally important. Teams should compare response times, throughput, resource utilization, and error rates against the pre-migration baseline. Load testing can reveal whether the target infrastructure can handle expected traffic volumes and peak demand. Migration teams should establish clear acceptance criteria and resolve critical issues before directing production traffic to the new environment. ### Minimize Downtime with Phased Migration Strategies Phased migration strategies reduce downtime by moving applications or infrastructure components in controlled stages rather than transferring everything at once. This approach allows teams to validate each stage before proceeding and limits the impact of migration failures. Techniques that help maintain service availability during migration include: - Database replication - Incremental data synchronization - Blue/green deployments - Canary releases For example, a blue/green deployment keeps the original environment running while the new environment is prepared and tested. Production traffic is switched only after validation succeeds. Teams should also define cutover procedures, rollback triggers, and recovery steps before migration begins. Monitoring application health during and after cutover helps detect failures quickly and supports a return to the original environment when necessary. ## Notable Application Migration Planning Solutions **How we selected these tools:** We shortlisted application migration tools based on their ability to discover infrastructure and dependencies, group workloads into migration waves, replicate data with minimal downtime, and support testing and rollback during cutover. ### Application Discovery and Dependency Mapping Tools #### 1. Faddom ![](https://faddom.com/wp-content/uploads/2026/11/2e1901bd-d796-4f92-a7cc-b4fdc318ce0f-300x63.png) **Best for:** Agentless dependency mapping to plan migration waves **Strengths:** Maps hybrid servers, apps, and traffic flows without agents **Things to consider:** Focused on discovery and mapping, not workload replication Faddom is an agentless application dependency mapping platform that discovers servers, business applications, and the connections between them across on-premises, cloud, and hybrid environments. It uses non-intrusive discovery to build maps in real time, and the first maps are typically available within 60 minutes of deployment. For migration projects, Faddom groups servers and applications into move groups and migration waves, so teams can sequence moves around actual dependencies. The same maps support data center transformation, cloud migration assessment, and business continuity and disaster recovery (BC/DR) planning before, during, and after a migration. **Key features include:** - **Agentless discovery:** Discovers every server, business application, and dependency across the hybrid environment without installing agents, with platform-agnostic support and real-time updates. - **Business application mapping:** Automatically groups servers into business applications and builds maps of the infrastructure architecture that update as the environment changes. - **Migration wave planning:** Uses dependency data to define move groups and migration waves, so applications that must move together are scheduled together. - **Change impact simulation:** Simulates the impact of planned changes on operations and documents and logs every change in the environment. - **Asset inventory:** Maintains an inventory of servers, operating systems, installed software, applications, and cloud services without manual updates. - **BC/DR and cost planning:** Identifies the critical components needed for a complete backup strategy, and a cloud calculator estimates compute, storage, and network requirements for right-sizing. - **AI-based analysis:** Faddom AI learns the behavior of the hybrid topology, detects traffic anomalies, provides infrastructure recommendations, and answers questions in plain language. - **Integrations:** Connects with ITSM and monitoring tools and feeds dependency data into segmentation and security tools. **Limitations (as reported by users on**[ **G2**](https://www.g2.com/products/faddom/reviews)**):** - **Learning curve for some functions:** A few users note that some features take time to learn before teams use them fully. - **Customization in very large environments:** Some users mention that very large or highly complex environments may need deeper customization or integrations with niche tools. - **AWS traffic sources:** One user reports that AWS Traffic Mirroring is not supported, and VPC Flow Logs are used as the data source instead. #### 2. Device42 ![](https://faddom.com/wp-content/uploads/2026/11/d4aa4fb6-99a5-4e46-8e3e-b25777b1d01a-300x150.png) **Best for:** Discovery, CMDB, and automated move groups in one platform **Strengths:** Affinity Groups rebuild move groups around key services nightly **Things to consider:** Setup and navigation can feel complex for smaller teams Device42, a Freshworks company, is an agentless discovery and dependency mapping platform that covers physical, virtual, and cloud infrastructure, from mainframes to cloud containers. It ships as a ready-to-run virtual appliance and combines discovery with a CMDB, IT asset management, and IP address management. For migrations, Device42 adds Affinity Groups, Resource Utilization, and a Cloud Recommendation Engine on top of its dependency maps. Affinity Groups divide infrastructure into move groups around key applications, each including the servers and services that application depends on. **Key features include:** - **Agentless auto-discovery:** Discovers and maps infrastructure on a configurable schedule and can ingest existing data from spreadsheets, CSV files, Microsoft SCCM, and BMC Remedy. - **Application dependency mapping:** Maps the interdependencies that support key business applications across data centers and cloud environments. - **Affinity Groups:** Generates move groups around pinned core services, regenerates them nightly, keeps historical versions as an audit trail, and shows 30-day connection impact charts. - **Business Applications:** Lets teams build custom application layouts from one or more Affinity Groups to model multi-tier applications and target architectures. - **Resource Utilization:** Measures and records the current resource usage profile of running workloads to inform sizing decisions. - **Cloud Recommendation Engine:** Selects target cloud instance sizes for each workload and compares instance prices across cloud platforms. - **CMDB and integrations:** Maintains a CMDB and integrates with tools such as ServiceNow, Jira, Freshservice, and Ansible, with a RESTful API for data exchange. **Limitations (as reported by users on**[ **G2**](https://www.g2.com/products/device42-a-freshworks-company/reviews)**):** - **Setup complexity:** Some users find initial setup and navigation complex, especially for smaller teams. - **Fit for small businesses:** Reviews tag the product as less suited to small business environments. - **ITIL alignment:** One user would like some areas of the product to align more closely with ITIL processes. - **Latency:** Reviews include reports of latency issues. ![](https://faddom.com/wp-content/uploads/2026/11/f9eed769-8781-4fed-852d-a66ff17dec48.png) Source: [Device42](https://www.device42.com/blog/wp-content/uploads/2023/06/image-1-1024x704.png) #### 3. BMC Helix Discovery ![](https://faddom.com/wp-content/uploads/2026/11/98d31670-576e-4353-9503-14a01dd1eb04-300x77.png) **Best for:** Enterprise discovery feeding CMDB and service models **Strengths:** Blueprint-based service modeling and data reconciliation **Things to consider:** Starter bundle pricing begins at $50,000 BMC Helix Discovery, from BMC Helix, Inc., is a discovery and dependency mapping product that continuously scans IT assets and maps their relationships across cloud and on-premises environments. It is available as SaaS or as an on-premises deployment. The product uses service modeling blueprints to show which infrastructure supports business services, and reconciles data from multiple topology sources. Discovery data can feed the wider BMC Helix platform for observability, AIOps, and CMDB use cases, including migration planning across multi-cloud environments. **Key features include:** - **Agentless continuous discovery:** Discovers assets and maps relationships across cloud and on-premises environments and keeps data current without manual updates. - **Blueprint-automated service modeling:** Uses a library of service modeling blueprints to visualize the infrastructure that supports business needs. - **Application and service mapping:** Maps dependencies between applications, services, and infrastructure to assess risk and the impact of changes. - **Data reconciliation:** Unifies data from different topology sources into a single, consistent view. - **Blind spot detection:** Identifies hidden or undocumented assets, dependencies, and relationships. - **Multi-cloud visibility:** Discovers and manages resources across multiple cloud providers to support migration planning and capacity decisions. - **SSL/TLS certificate management:** Discovers and manages security certificates across the IT infrastructure. - **Platform integration:** Sends topology data into the BMC Helix platform, where service models and telemetry help pinpoint root causes and related impacts. **Limitations (as reported by users on**[ **PeerSpot**](https://www.peerspot.com/products/bmc-helix-discovery-reviews)**):** - **Setup cost:** Users describe the setup cost as being on the expensive side. - **Complex environments:** Some users report that large networks or specific requirements need specialized expertise during deployment. - **Integration techniques:** Some users note that certain integrations require specific techniques to configure. - **Support response times:** Some users mention delays in support response times. ![](https://faddom.com/wp-content/uploads/2026/11/588a815c-60d0-48d1-811a-c1a5a12cfcb1.png) Source: [BMC](https://www.bmc.com/content/dam/bmc/solutions/screenshots/ss-cmdb-health-1200x690.png) ### Migration Assessment, Replication, and Cutover Tools #### 4. Azure Migrate ![](https://faddom.com/wp-content/uploads/2026/11/eb91cdef-0899-4fb3-bfe8-3e2c05193639-300x187.png) **Best for:** Discovering, assessing, and moving workloads into Azure **Strengths:** Dependency maps, 6R assessments, and cost insights in one hub **Things to consider:** Supports Azure as the only migration target Azure Migrate is Microsoft’s service for discovering, assessing, and migrating on-premises workloads to Azure. It discovers infrastructure, applications, and data, maps dependencies, and evaluates readiness and costs before workloads move. Azure Migrate covers VMware environments, physical servers, databases, and web applications, and it works with partner tools for different scenarios. The Azure Copilot migration agent, built on the Azure Migrate platform, adds an AI-guided experience for planning and coordinating the migration journey. **Key features include:** - **Discovery and dependency mapping:** Automatically discovers infrastructure, applications, and data, and creates dependency maps to show how workloads connect. - **Assessments with 6R options:** Assesses workloads and recommends treatments such as rehost, refactor, rearchitect, rebuild, replace, and retire. - **Readiness and cost insights:** Generates readiness, risk, and cost estimates, including right-sizing recommendations for target resources. - **Application Awareness:** Groups tagged, dependent resources so they can be collocated in Azure for cost and performance. - **Server and database migration:** Migrates VMware VMs and physical servers to Azure, and passes database assessments to Azure Database Migration Service for database moves. - **Web app modernization:** Migrates ASP.NET web apps to Azure App Service or Azure Kubernetes Service and containerizes Java web apps running on Tomcat. - **Azure Copilot migration agent:** Provides AI-guided planning that coordinates first-party and third-party tools and keeps unified tracking from discovery through execution. **Limitations (as reported by users on**[ **SoftwareReviews**](https://www.softwarereviews.com/products/azure-migrate)**):** - **Right-sizing depends on data history:** One user reports that without enough historical performance data, sizing is based on peak load, which can require additional right-sizing after migration. - **Integration breadth:** One user notes that capabilities and integrations are less comprehensive than some vendor-neutral migration tools. - **Learning advanced features:** One user mentions that some advanced features take time to understand, particularly for teams new to cloud migration. ![](https://faddom.com/wp-content/uploads/2026/11/c70fe126-2c27-46ea-a356-f1d3f6c40c1a.png) Source: [Microsoft](https://azure.microsoft.com/en-us/blog/wp-content/uploads/2019/07/364961a1-0673-4476-80f9-dbd03e49a999.webp) #### 5. AWS Transform MGN ![](https://faddom.com/wp-content/uploads/2026/11/080701f5-de3e-4637-8266-005f9c017546-300x300.png) **Best for:** Rehosting servers to Amazon EC2 with minimal downtime **Strengths:** Continuous block-level replication with orchestrated cutover **Things to consider:** Targets AWS only and focuses on rehosting AWS Transform MGN, formerly AWS Application Migration Service, is the AWS rehosting capability that converts physical, virtual, and cloud-based source servers into native Amazon EC2 instances. It replicates source servers at the block level and orchestrates cutover without modifying the source environment. AWS Transform MGN works within a broader AWS migration workflow that also includes discovery, wave planning, and network migration. Teams can choose an agentic rehost path that automates setup and wave preparation, or a self-directed path through the MGN console. **Key features include:** - **Continuous block-level replication:** Replicates source servers continuously to AWS while normal business operations continue. - **Automated machine conversion:** Converts physical, virtual, or cloud source servers running supported operating systems into native EC2 instances. - **Orchestrated cutover:** Coordinates the cutover from source servers to EC2 to limit downtime during migration. - **Agentic rehost:** Automates MGN initialization, IAM permissions, launch templates, post-launch actions, replication agent installation, replication settings, and network mappings. - **Self-directed rehost:** Lets teams manage each configuration step in the MGN console, and switch between agentic and self-directed paths without losing progress. - **Modernization during migration:** Applies built-in or custom actions such as cross-Region disaster recovery, Windows Server version upgrades, and SQL Server BYOL license conversion. - **Cross-Region and cross-account moves:** Migrates EC2 workloads across AWS Regions, Availability Zones, or accounts. **Limitations (as reported by users on**[ **PeerSpot**](https://www.peerspot.com/products/cloudendure-live-migration-reviews)**):** - **Legacy system compatibility:** One user notes that migrations involving complex legacy systems still need better compatibility support. - **Scaling for legacy estates:** One user reports that scalability has room for improvement when working with legacy systems. - **ITSM integration:** One user identifies service management level integration as the main area for improvement. ![](https://faddom.com/wp-content/uploads/2026/11/5c0f7d95-d276-48ea-a73d-8b549a7fa1d3.png) Source: [AWS](https://d2908q01vomqb2.cloudfront.net/1f1362ea41d1bc65be321c0a378a20159f9a26d0/2025/10/14/mgn_replication_status.png) #### 6. HPE Zerto Software ![](https://faddom.com/wp-content/uploads/2026/11/89511d1f-6082-46a3-9f5e-b3c20e581ed8-300x153.png) **Best for:** Replication-based migrations with testing and rollback **Strengths:** Continuous data protection with non-disruptive testing **Things to consider:** Journal storage and pricing can be significant HPE Zerto Software is a disaster recovery, cyber resilience, and workload mobility product from Hewlett Packard Enterprise, built on continuous data protection (CDP). It replicates changes in real time to a target site on premises or in the cloud, with recovery points measured in seconds. For migrations, HPE Zerto Software uses automation, orchestration, and non-disruptive testing to move applications between on-premises and cloud platforms. Its journal-based recovery lets teams return to a recent point in time if a migration or other change causes problems. **Key features include:** - **Continuous data protection:** Replicates changes in real time instead of relying on periodic snapshots, with near-zero recovery point objectives (RPOs). - **Journal-based recovery:** Recovers workloads to a specified point in time from the replication journal. - **Workload mobility:** Moves applications between on-premises and cloud platforms using automation and orchestration. - **Non-disruptive testing:** Tests recovery and migration targets without interrupting production workloads. - **Broad platform support:** Supports VMware, Microsoft Hyper-V, Microsoft Azure, AWS, HPE, and HPE Morpheus Enterprise Software. - **Ransomware protection:** Provides real-time encryption detection and immutable data copies to support clean recovery. - **Appliance-based management:** Deploys as a virtual appliance that provisions replication appliances where needed, with dashboards and alerts for monitoring. **Limitations (as reported by users on**[ **PeerSpot**](https://www.peerspot.com/products/zerto-reviews)**):** - **Pricing:** Several users describe the pricing as high. - **Journal storage:** One user notes that journals can consume a significant amount of storage. - **Cloud migration options:** One user reports that on-premises to cloud migration lacks some options, such as renaming VMs directly. - **Cloud orchestration:** One user would like cloud APIs to orchestrate point-to-point migrations without special hands-on configuration. ![](https://faddom.com/wp-content/uploads/2026/11/1b53ab0b-a293-4792-8dca-b0fa09bc4e94.png) Source: [HPE](https://assets.ext.hpe.com/is/image/hpedam/s00014915?$zoom$) #### 7. OpenText Migrate ![](https://faddom.com/wp-content/uploads/2026/11/55ca9352-6e23-46fe-969c-6d9e76616f92-300x48.png) **Best for:** Any-to-any server migrations with fast cutover **Strengths:** Real-time byte-level replication with non-disruptive testing **Things to consider:** Uses lightweight agents on systems in scope OpenText Migrate, formerly Carbonite Migrate, is a migration platform that moves entire systems, including files, applications, configurations, and permissions, across physical, virtual, and cloud environments. It scans the environment, deploys lightweight agents to systems in scope, and replicates them in real time to the target. OpenText Migrate supports testing and validation while production continues to run, then performs an automated cutover. If a problem occurs, teams can revert to the original environment, and the same process can repeat from a single server to thousands of servers. **Key features include:** - **Real-time byte-level replication:** Replicates systems across any distance and keeps data, configurations, and permissions in sync with the target. - **Any-to-any migration:** Supports physical, virtual, and cloud targets, including AWS, Azure, Google Cloud, VMware, and Hyper-V. - **Non-disruptive validation:** Tests and validates the target environment without interrupting production operations. - **Orchestrated cutover:** Orchestrates cutovers for multi-tier applications, with cutover completing in seconds or minutes. - **Rollback options:** Reverts to the original environment if issues occur after cutover. - **Bandwidth controls:** Includes built-in bandwidth throttling and compression for replication traffic. - **Encryption:** Uses end-to-end AES 256-bit encryption for data in transit. **Limitations (as reported by users on**[ **PeerSpot**](https://www.peerspot.com/products/opentext-migrate-reviews)**):** - **Multi-cloud use:** Some users find the product difficult to use in multi-cloud environments. - **Specialized data types:** One user reports a failed migration involving GIS data. - **Cost:** One user describes the product as somewhat expensive. ## Conclusion Reducing application migration risk requires accurate infrastructure data, dependency-aware planning, thorough testing, and controlled cutover procedures. Teams should establish current asset inventories and performance baselines, group dependent workloads into migration waves, validate target infrastructure, and test applications before production cutover. Replication, phased migration, continuous monitoring, and defined rollback procedures can further reduce downtime, data loss, and performance problems when workloads move between environments.