Modernize your data with Azure Storage: Plan and migrate with confidence

Migrating enterprise storage is more than just transferring data; it’s crucial for ensuring uninterrupted business operations, maintaining optimal performance, controlling costs, and instilling confidence as vast amounts of data underpin essential applications.

This confidence can be tough to establish when migration plans are scattered. Many businesses still use a messy mix of scripts, external tools, and disjointed procedures to evaluate their environments, transfer data, and keep systems in sync during the migration process. This often leads to delays, avoidable issues, and teams struggling to keep vital tasks running smoothly.

A successful migration plan begins with the recognition that different types of data require tailored strategies:

• Certain workloads may require a dependency assessment and careful sequencing before initiation.
• Some datasets are too massive to transfer swiftly over a network.
• Some file systems must stay synchronised while the business continues operating.
• Some data must arrive in Azure ready for upcoming tasks like analytics, AI, or application modernisation.

In this article, we’ll explore how to effectively migrate to Azure Storage, covering everything from strategy to execution:

• How Azure Migrate and Azure Copilot Migration Agent can assist with assessment and decision-making.
• How to choose the right Microsoft first-party migration tools.
• Azure Storage Mover and Azure Data Box are ideal solutions for online, offline, and phased migrations tailored to customer needs.

Overview of the Tools

Azure Migrate: A comprehensive hub for discovering, assessing, and planning migrations.

Azure Copilot Migration Agent: An AI-driven addition to Azure Migrate simplifying storage migration decisions (currently in preview).

Azure Storage Mover: A free, managed tool supporting online migration and synchronisation for file and object data.

Azure Data Box: A secure solution for transferring large-scale or bandwidth-limited datasets offline.

1. Planning Your Azure Storage Migration

Before selecting a migration tool, businesses need to clarify what data they are moving, how their systems connect, which workloads present the highest risk, and what the destination architecture should support.

Azure Migrate serves as a central hub for discovering migration options, assessing readiness, developing a business case, analysing dependencies, and planning. It guides teams in uncovering infrastructure and workloads, gauging Azure compatibility, reviewing cost elements, understanding dependence, and coordinating migration tasks across on-premises and multicloud settings. This creates a solid foundation for making informed migration choices before execution begins.

Benefits of the Azure Copilot Migration Agent

To bridge the gap between planning and action, the Azure Copilot Migration Agent enhances Azure Migrate with new storage capabilities, now in preview. Instead of relying on teams to interpret assessment data and manually map out storage strategies, this AI-guided experience uses Azure Migrate project data to explore storage options, align workloads with appropriate Azure services, and choose the best execution tools—be it Azure Storage Mover, Azure Data Box, or other Azure migration methods. This approach streamlines the process from discovery to decision, empowering teams to migrate with enhanced confidence.

Next, teams need to make decisions specifically related to storage. The approach should be as follows:

1. Evaluate the source environment.
2. Choose the suitable Azure Storage target.
3. Define your migration strategy.
4. Select the appropriate migration tool.
5. Execute the migration.

This sequence is crucial because the selected tool should cater to the data requirements and destination architecture—not the other way around.

The aim isn’t to force a single migration path for everything but to apply the right Microsoft solution at each phase of the journey.

Selecting the right tool should take place post-assessment, target selection, and migration strategy definition. At this point, organisations should clarify what data they need to migrate, where it should go, and how the process will unfold. Decisions should rely on data volume, network capacity, allowable downtime, synchronisation needs, application dependencies, and whether the migration will be online, offline, or staged.

3. Cloud Data Migration: Online and Continuous Using Azure Storage Mover

Azure Storage Mover facilitates managed online data movement and synchronisation for file and object data, completely free of charge. It is ideal for large-scale, repeatable migrations that require data to be transferred over the network with orchestration, monitoring, and oversight, covering everything from on-premises data estates to cloud-to-cloud migrations, such as AWS S3 to Azure Blob Storage.

Azure Storage Mover excels in the following scenarios:

• Online migrations and incremental synchronisation from local data estates.
• Cloud-to-cloud migrations, e.g., AWS S3 to Azure Blob.
• Data movement within Azure, including container-to-container transfers.

As businesses weigh the costs, performance, and flexibility of various cloud environments, the ability to transfer data between different providers evolves into a strategic asset. Azure Storage Mover enables teams to transition data from AWS S3 to Azure Blob Storage without significantly disrupting access or rebuilding the entire migration approach.

While Storage Mover handles seamless large-scale migrations from AWS S3, many customers also need to move and modernise applications that use that data. To assist with this, we’re introducing a new Copilot skill (currently in preview) for application migration, providing a comprehensive end-to-end migration experience.

If you’re keen to try the S3 app migration skill alongside your data migration, feel free to contact us at [email protected].

All current features of Azure Storage Mover are available at no cost. However, standard storage, transaction, and network charges may apply.

4. Offline Data Migration: Azure Data Box for Large Transfers

Azure Data Box supports offline transfers for large-scale or bandwidth-limited datasets. It’s especially beneficial when network constraints or operational challenges make online transfer difficult, or when swift initial bulk transport is necessary before later synchronisation or cutover.

The Azure Data Box 120 and Azure Data Box 525 are available without service fees or shipping costs from Microsoft.

Azure Data Box is particularly effective for:

• Exiting datacentres and large-scale hybrid cloud transformations.
• Driving AI and machine learning with high-volume data ingestion.
• Safeguarding bulk backups and media archives.
• Modernising healthcare and critical data systems.
• Enabling secure migration for government and regulated workloads.
• Supporting enterprise analytics and contemporary data platforms.

Data Box allows for high-throughput transfer directly to Azure datacentres, minimizing reliance on network performance and helping teams meet migration schedules when bandwidth is restricted. It can also play a role in a phased strategy, managing the initial bulk transfer while online tools facilitate subsequent synchronisation or cutover.

5. Real-World Migration Scenarios: Hybrid Cloud, AI, and Beyond

Most migration initiatives encounter multiple constraints. Teams may need to juggle scale, connectivity, regulatory requirements, downtime limits, budget objectives, and modernisation ambitions simultaneously. The strength of Azure’s approach shines through when these solutions are integrated.

Datacentre Exits and Hybrid Cloud Growth

When it comes to exiting datacentres and hybrid cloud expansion, organisations typically face the challenge of migrating large, varied environments within tight deadlines and with minimal disruption. Azure Migrate can help pinpoint dependencies and orchestrate workloads. Azure Data Box can hasten bulk transfers without being hindered by network limitations. Azure Storage Mover can maintain synchronisation and assist in the final cutover. This combination allows teams to execute gradual migrations, verify workloads before finalisation, and decommission infrastructure on schedule.

The effectiveness of datacentre exits is exemplified with customer migrations conducted at scale. For instance, Copeland utilized Azure Data Box to seamlessly migrate over 300 terabytes of data to Azure during a crucial datacentre transition, ensuring business continuity was maintained.

Getting Data Ready for AI and Machine Learning

For AI and machine learning initiatives, businesses require substantial volumes of top-quality data that is centralised, accessible, and regularly updated. Azure Data Box supports expedited ingestion of extensive training datasets, research archives, or historic data. Meanwhile, Azure Storage Mover aids in continual synchronisation and pipeline updates, helping keep data relevant for model training, experimentation, analytics, and AI development.

Backup, Media Archives, and Long-Term Storage

When handling backup processes, media archives, and long-term storage, businesses often need to manage large quantities of rarely accessed data while ensuring durability, accessibility, and cost-effectiveness. Azure Data Box can assist with efficient transfer of vast archival datasets, while Azure Storage tiers help optimise costs over time. Azure Storage Mover can facilitate post-migration workflows, ensuring ongoing access and updates as necessary.

For example, The WNET Group successfully modernised their media archives by using Azure Data Box to transfer around 3.6 petabytes of content—including over 800,000 hours of media—to Azure. This migration enabled a datacentre exit, ensured continuous broadcasting, and reduced asset retrieval times from nearly a day to under four hours while positioning them for advanced machine learning applications for metadata enhancement and content discovery.

Healthcare, Regulated, and Mission-Critical Systems

When it comes to healthcare, regulated, and mission-critical systems, migrations must carefully balance security, compliance, governance, and seamless operations. Azure Migrate can help in assessing dependencies and ensuring controlled sequencing. Azure Data Box enables offline transfer for large sensitive datasets, and Azure Storage Mover supports incremental updates where ongoing synchronisation is needed.

Astellas Pharma leveraged Azure Data Box to transition a 500-terabyte local file repository to Azure, achieving a six-month migration timeline which allowed for the closure of six global datacentres. This showcases how offline transfer can facilitate swift migration while maintaining control and continuity over critical data.

From Migration Execution to Modernisation Outcomes

It’s important to understand that migration isn’t the end goal; it’s just a means to an end.

Once your data is in Azure, you can expand into analytics, artificial intelligence, and cloud-native architectures.

By integrating Azure Migrate, Azure Storage Mover, and Azure Data Box, organisations establish a migration strategy that mirrors real-world dynamics while setting themselves up for long-term success.

Get Started with Azure Storage Migration Solutions

Dive into Azure Storage and data migration solutions to kick off building a migration strategy that aligns with your environment, timelines, and goals for modernisation.