Tutorial

Bare Metal Backup: A Comprehensive Guide

Published on January 29, 2025

Technical Writer

Bare Metal Backup: A Comprehensive Guide

Introduction

In today’s fast-paced world, hardware failure, cyberattacks, or unexpected system crashes aren’t just an inconvenience but a major risk and can bring business operations down. Hence, having a reliable backup is not the need but is a major necessity. This is where bare metal backup comes in. Unlike traditional backups that only save files or applications, bare metal backup captures everything—your operating system, settings, and entire system state—so you can restore it exactly as it was, without missing anything. But how does it really work, and why is it becoming the go-to solution for businesses? Let’s break it down in simple terms. The global bare metal cloud market has shown remarkable growth, expanding from USD 7.14 billion to USD 8.96 billion between 2022 and 2023. This swift expansion shows a 25% annual growth rate, and experts predict the market will reach USD 22.13 billion by 2027. These figures not only show a rise in the demand for bare metal but also its role in securing tomorrow’s operations.

What is a Bare Metal Server?

Now, let us first understand Bare Metal Server. A bare metal server refers to a physical hardware system or server that operates without any virtualization layer or intermediary software, such as a hypervisor. This means the operating system (OS) runs directly on the hardware, providing access to all hardware resources like CPU, RAM, and storage. Bare metal systems are often used for high-performance computing, intensive workloads, or when specific hardware-level control is required. It can be understood as renting the whole car to yourself instead of sharing it with others.

What is Bare Metal Backup?

Bare metal backup refers to creating a complete copy of a system—including the operating system, applications, configurations, and data—at the hardware level. During unlikely events, this backup enables the system to be restored to its original state on similar or entirely new hardware. A few key features of Bare Metal Backup are as follows:

Key Features:

image

  • Full System Backup: This captures everything on the server. It helps back up the entire system and creates an exact replica of all the data on the server, including operating systems, applications, configurations, and files.
  • Hardware Independence: Enables restoration on different hardware. This feature allows you to restore your server’s backup on different hardware, whether it’s a new server, a virtual machine, or hardware with different configurations. This eliminates the need to find identical hardware for recovery. Hardware Independence also simplifies migration from outdated hardware to a newer and much more efficient system.
  • Quick Recovery: In case of a major hardware failure or damage (e.g., due to a natural disaster), you can quickly restore your system to any available hardware, ensuring minimal downtime.
DigitalOcean GPU Droplet DigitalOcean Bare Metal GPU
1-click UI or a single API call to create GPU Droplet within seconds Maximum performance and privacy without any software overhead
On-Demand and Reserved Instances available No noisy neighbors
Networking and storage included Complete control over hardware
Flexible deployment options allowing you to deploy in 1 or 8 GPU options Latest GPU models available at scale

Bare Metal Backup vs. Full Backup

Feature Bare Metal Backup Full Backup
Scope - Captures the entire system, including the operating system (OS), applications, configurations, and data. - Includes system-level files, records, and drivers, hence allowing complete replication of the original environment. - Focuses on specific files, folders, databases, or application data. - Does not include the OS or system-level configurations unless explicitly added.
Use Case - Ideal for disaster recovery, such as hardware failures, system crashes, or migration to new servers. - Allows rapid restoration of the entire server. - Suited for data retrieval or recovery of specific files, documents, or application data. - Useful for non-critical recovery scenarios.
Restoration Flexibility Cost and Resources - Supports bare metal recovery, allowing restoration onto new or different hardware with no pre-installed OS. - Can recover hardware with different specifications, ensuring flexibility. - Requires more storage space and may involve higher costs for backup solutions. - Requires reinstallation of the OS and applications on the target system before restoring the backup. - Works best when the hardware is similar or identical to the original. - More cost-efficient due to smaller backup size and less storage requirements.

Why does your AI/ML Workload require Bare Metal Backup?

AI/ML Workloads typically have complex configurations with specific frameworks (e.g., TensorFlow, PyTorch), libraries, and dependencies. They also involve extensive datasets and trained models, which can be time-consuming and costly to recreate.

Furthermore, AI/ML workloads such as training a deep learning network often rely on GPUs, TPUs, or other high-performance computing devices; hence, having a backup ensures that these configurations can be restored accurately. Also, in case the original hardware fails, hardware independence is always flexible. Rebuilding a complete AI/ML environment from scratch involves re-installing software, setting up frameworks, and re-configuring system parameters. Bare metal recovery eliminates this effort.

Bare Metal Benefits

  • Full Hardware Access: Bare Metal GPUs offer direct and unrestricted access to all hardware resources, thus ensuring maximum performance for AI/ML tasks.

  • Single-Tenant Infrastructure: With dedicated hardware, there is no need to share resources with other users, providing improved privacy, consistent performance, and reduced risk of noisy neighbors impacting workloads.

  • Performance for Demanding Workloads: Bare Metal GPUs, such as those with NVIDIA Hopper GPUs, are purpose-built for intensive computations like large-scale model training, high-speed inference, and advanced simulations.

  • Customization: Bare Metal servers allow you to configure the hardware and software environment as needed, optimizing for specific AI frameworks, libraries, or tasks like fine-tuning pre-trained models or building bespoke architectures.

  • Scalability: These servers are ideal for scaling up AI workloads, supporting complex neural networks, and distributing training without performance bottlenecks.

  • Enhanced Privacy and Security: As the sole tenant of the hardware, you maintain full control over the infrastructure, ensuring data and model integrity critical for sensitive workloads.


Why Choose DigitalOcean for Bare Metal GPUs?

  • Simplified Deployment: DigitalOcean Bare Metal GPUs are designed for rapid provisioning, enabling AI builders to get started quickly without navigating complex configurations.

  • NVIDIA Accelerated Computing: Equipped with 8 NVIDIA Hopper GPUs, DigitalOcean’s servers deliver state-of-the-art performance for demanding AI/ML workloads, from deep learning to real-time inference.

  • Cost-Effective Pricing: DigitalOcean provides transparent and competitive pricing, ensuring access to premium hardware without hidden fees or surprises.

  • Developer-Friendly Platform: With an intuitive interface, robust APIs, and extensive documentation, DigitalOcean simplifies managing infrastructure, making it accessible for AI developers and teams.

  • Customizable Options: DigitalOcean’s Bare Metal GPUs allow fine-tuning of the environment to match workload-specific needs, ensuring optimal performance for specialized AI/ML use cases.

  • Trusted Infrastructure: DigitalOcean’s global data centers ensure reliability, high uptime, and low-latency connectivity, critical for AI workloads that demand consistent performance.

  • Community and Support: With a vibrant community, tutorials, and 24/7 support, DigitalOcean helps users at every skill level succeed with AI/ML projects.

DigitalOcean Bare Metal GPUs for serious AI builders looking to achieve the highest levels of performance, privacy, and control in their AI/ML workloads.


Step-by-Step Guide: Bare Metal Backup and Recovery

Step 1: Choose a Backup Tool

image

  • Look for a backup tool that suits your needs and budget.
  • Ensure the tool supports bare metal backups—a complete copy of your system, including the operating system, configurations, and applications.

Step 2: Configure Backup Settings

Select a Storage Location: Choose where your backups will be stored.

Options include:

  • Cloud storage for accessibility and scalability.
  • Network-Attached Storage (NAS) for local network solutions.
  • External drives or local storage for quick access.

Set Up Automated Backups: Schedule regular backups (e.g., daily, weekly). Automation ensures you always have an up-to-date backup without manual effort.

Double-check that your backup includes all critical files, system settings, and applications.

Verify the Backup: Once the backup is complete, check its integrity. Many tools offer a built-in verification feature to ensure the file isn’t corrupted.

Step 3: Create a Bare Metal Backup

  • Run a full system backup using your chosen tool. This captures everything: the operating system, settings, applications, and data.
  • Verify the integrity of the backup file.

Step 4: Test the Backup

Perform a test recovery on a spare or non-critical machine. This step will ensure that your backup works as expected and can be restored successfully.

Use the recovery process to identify and fix any issues now rather than during an emergency.

Confirm that all files, applications, and settings appear as they should.

Step 5: Execute Bare Metal Recovery

  • If you need to restore the system, boot the new or repaired hardware using a recovery disk, USB drive, or bootable media provided by your backup tool.
  • Select the backup image from your storage location and start the restoration process.
  • Once the restoration is complete, validate the system to ensure everything is back to normal. Test your applications, verify the data, and check system settings to confirm the recovery was successful.

Use Cases for Bare Metal Backup

  • Enterprise Applications: Critical systems like financial databases, ERP systems, ML workloads, and large-scale operations need constant availability. Bare metal backup ensures these systems are fully protected, minimizing downtime in case of hardware failure or data corruption. With the ability to restore entire servers quickly, enterprises can maintain business continuity without disruption.
  • AI/ML Workloads: High-performance environments running AI/ML workloads often require specialized hardware configurations. Bare metal backup ensures that these systems, custom setups, and large datasets are preserved. In the event of a crash, teams can resume training or inference processes without reconfiguring the hardware or reloading the data.
  • SMBs: SMBs often have limited IT resources, making simple and efficient recovery solutions essential. Bare metal backup provides a straightforward way to recover entire systems, including operating systems, applications, and data, in one go. This reduces downtime and ensures businesses can bounce back quickly from unexpected issues.

Maximizing Bare Metal Backup: Bonus Tips

A solid backup and recovery framework doesn’t happen by chance—it’s built on a foundation of planning and execution.

  • Regular Testing and Validation of Restore Procedures: The ability to restore a system from a backup isn’t guaranteed without consistent testing. Regular drills ensure the recovery process is seamless when it’s needed the most.
  • Detailed Documentation of Hardware Specifications: Comprehensive records of hardware configurations eliminate guesswork and ensure compatibility during the restoration process.
  • Dedicated Recovery Environment Setup: Having a dedicated space for recovery minimizes interruptions to live systems and facilitates efficient testing and implementation.
  • Clear Team Roles and Responsibilities: Defined roles streamline operations and prevent confusion during high-pressure recovery scenarios.
  • Well-Laid-Out Communication Protocols: Communication plans ensure everyone involved is informed, aligned, and ready to act promptly.
  • Post-Restore Evaluation Process: A thorough evaluation after restoration identifies any gaps or areas for improvement, enhancing future readiness.

FAQs

1. Is bare metal backup better than full backup?

Bare metal backup is more comprehensive and suited for disaster recovery, while full backup focuses on files and folders.

2. What is the difference between bare metal backup and system state backup?

System state backup captures critical OS components, while bare metal backup includes the entire system.

3. What is the purpose of bare-metal backup?

To enable a complete system recovery on new or existing hardware without additional setup.

4. What are common challenges in bare metal recovery?

Challenges include hardware compatibility, backup size, and ensuring data integrity.

5. What are a few security considerations for bare metal recovery?

Ensure backup images are encrypted to prevent unauthorized access. Furthermore, restrict who can access backup locations.

Periodically test backup and recovery processes to identify vulnerabilities.


Conclusion

Bare metal backup is an essential component of any disaster recovery strategy. By capturing the entire system it minimizes downtime and maximizes flexibility during restoration. Selecting the right tools, addressing security concerns, and following best practices empower organizations to protect their bare metal and dedicated servers effectively.

When implementing a recovery plan, it is a must for any organization to establish a dedicated recovery environment that mirrors its production setup. This will help test hardware compatibility and prevent configuration conflicts during restoration procedures.

Clear assignments of responsibilities within recovery teams are crucial. Team leads oversee the entire process, while system administrators manage the operating system restoration, and network engineers handle connectivity settings. Teams should conduct regular restore drills to identify potential issues before they impact actual recovery situations.

Documentation plays a vital role in successful bare metal recovery. Organizations should maintain detailed records of hardware specifications, software licenses, and installation procedures. This approach allows teams to follow straightforward instructions rather than facing confusing processes when a disaster occurs.

Finally, a post-restore review is essential. This process helps organizations evaluate their restoration procedures’ effectiveness and identify areas for improvement. Organizations can enhance their bare metal restore capabilities by gathering feedback from recovery teams and stakeholders.

Resources and References

[1] - https://en.wikipedia.org/wiki/Bare-metal_restore
[2] - https://www.dell.com/support/kbdoc/en-us/000019782/deployment-kb-how-to-perform-a-networker-bare-metal-recovery-bmr-recovery-procedure
[3] - https://www.acronis.com/en-us/blog/posts/bare-metal-restore/
[4] - https://documentation.n-able.com/covedataprotection/USERGUIDE/QSG/Content/advanced-recovery/bare-metal-recovery/reqs.htm
[5] - https://helpcenter.xopero.com/xopero-one-en/backup-plan-possibilities-and-the-data-solutions/backup-and-recovery/workstations-and-servers/recovery/drive-image-backup-recovery/image-level-backup-recovery-as-a-bmr-recover-the-entire-os-data-and-applications
[6] - https://www.techtarget.com/searchstorage/definition/bare-metal-restore
[7] - https://www.baculasystems.com/blog/bare-metal-backup-recovery/
[8] - https://www.zmanda.com/blog/bare-metal-restore/
[9] - https://cloud.google.com/bare-metal/docs/bms-security
[10] - https://phoenixnap.com/blog/bare-metal-restore

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About the authors
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Technical Writer

With a strong background in data science and over six years of experience, I am passionate about creating in-depth content on technologies. Currently focused on AI, machine learning, and GPU computing, working on topics ranging from deep learning frameworks to optimizing GPU-based workloads.

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