Cloud BDR: 4 Factors for Gaining Executive Buy-In

Marc Goroff

If you've got a backup and disaster recovery system (BDR), you're likely facing some challenges with it. Maybe it's speed. Maybe it's security. Maybe your system isn't growing along with your organization. If you've looked into solving these challenges, you've probably considered cloud backup to protect your data, servers and applications.

Teams that are accustomed to handling other workloads in the cloud, virtualizing their BDR may seem like a no-brainer. The appeal of backing up to the cloud is obvious, with benefits like scalability, easier testing and even cost savings.

However, CIOs and IT managers question whether moving your BDR to the cloud really delivers the same benefits. Yes … sometimes. If you're contemplating a new cloud solution, keep these four factors in mind.

1. How Long are You Willing to be Down?

In the era of 24/7 uptime, even twenty minutes of downtime can outrage customers. When physical backups can't be retrieved quickly, the ensuing delay can make IT leaders look to the cloud. Complex failover processes can also hinder recovery. If your uptime depends on the availability of trained staff or a shipment of backup tapes, your mission-critical systems won't be available when needed.

A major value proposition for moving to the cloud should be the capability to boot up a clone of your environment in minutes. This eliminates the need to ship or retrieve physical backups. Some cloud solutions also feature simple failover processes, allowing your team to recover instantly instead of reading complicated instructions as crucial minutes tick away.

2. Is Cloud-Only BDR the Right Strategy?

Not always. Relying solely on cloud backup could lead to delayed recovery. While cloud solutions can accelerate recovery, they can also hinder it in some situations. Before making the jump to a cloud-only solution, you'll want to consider these possible delays:

■ Network speeds: Applications that rely on 100MB, 1GB, or more for connectivity will be challenged to match this to and from a cloud backup provider.
 
■ Network connectivity: You'll need to provide a path for external users, customers and production sites to your cloud backup provider, bridging the IP gap between what was once your LAN and now is a site in another data center.

■ Single server failure dependency: When you put your backups entirely in the cloud, failing over a single or small subset of servers to the cloud can break dependencies. Imagine running a small cluster with two out of three servers on the same LAN with 1GB+ speeds and the third member of the cluster sitting on a remote WAN link getting fair less access speeds.

3. How Does Bandwidth Affect Cloud BDR and Retrieval Speed?

While getting your data into the cloud is easy, retrieving it could be more complicated. Cloud backups are usually easy to create – just identify the servers and data to replicate, begin the sync, and off you go. However, keep in mind what you'll be able to recover and what it could cost you in terms of ingress/egress charges for data transfer.

While any modern LAN-based backup technology will perform file level restores at 1GB, cloud-based file level restores will rely on your Internet connection and your provider's bandwidth. If you have a 1TB volume to restore, this is how long it could take:

■ On-premise backup solution using 1GB LAN connection: approximately 18 minutes

■ Cloud backup solution using 10MB connection: approximately 32 hours

That's a big difference – and it will feel bigger if you're dealing with a Ransomware attack or other disaster.

4. What's the Real ROI with Cloud BDR?

When teams evaluate BDR solutions, they tend to calculate the savings realized by eliminating downtime. Automated testing and other features can improve operational efficiency, and backup encryption and improved security can reduce risk. Yet too often teams don't get the full pricing picture when it comes to software-only BDR solutions.

Remember to factor in costs for external appliances, firewalls, switches and other network hardware critical to your BDR ecosystem. Your production environment will have BDR needs that go beyond the demo the vendor showed you. If you don't account for those requirements and costs up front, your CFO could be displeased by the hidden costs that surface in the months following your initial cloud deployment. Demand transparent and predictable DR pricing.

Cloud BDR can offer speed and security when used in conjunction with other tools, such as a hybrid cloud solution. Keep the above four questions in mind and you'll be more likely to get executive buy-in and keep your critical resources protected.

Related Links

Hot Topics

The Latest

Observability Is Becoming the Grid That Powers AI - and It Isn't Ready

For fifteen years, observability lived downstream of everything else. Code shipped, something broke, an engineer went to the dashboards. The job was forensic. The pillars we built, such as logs, metrics, and traces, were designed for that role: tell a human what just happened, fast enough that they can make it stop. That role has quietly ended ...

Hybrid IT Dominates Enterprise Architecture, with Colocation Anchoring Critical Workloads

Hybrid IT has become the standard operating model for enterprises — but that companies are still looking for the right hybrid IT mix, according to the 2026 State of the Data Center Report from CoreSite. After years of cloud migration and hybrid adoption, organizations are shifting their focus from deciding whether to use cloud, colocation or on-premises infrastructure to determining which workloads belong in each environment ...

AI is Moving Fast, and Enterprise File Data Is Not Ready

Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Move Fast Without the Usual Quality Penalty

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

When the Observability Bill Arrives for Agentic AI

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

AI is Breaking Enterprise Log Management

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

How Edge Intelligence Will Redefine Secure Connectivity

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

Production Inference Shifts Decisively to Private Cloud

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

Why DevOps Teams Build GenAI Tooling While Most Organizations Still Rely on Manual Monitoring

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Why Cloud Reliability Comes Down to People and How to Improve It

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

Cloud BDR: 4 Factors for Gaining Executive Buy-In

Marc Goroff

If you've got a backup and disaster recovery system (BDR), you're likely facing some challenges with it. Maybe it's speed. Maybe it's security. Maybe your system isn't growing along with your organization. If you've looked into solving these challenges, you've probably considered cloud backup to protect your data, servers and applications.

Teams that are accustomed to handling other workloads in the cloud, virtualizing their BDR may seem like a no-brainer. The appeal of backing up to the cloud is obvious, with benefits like scalability, easier testing and even cost savings.

However, CIOs and IT managers question whether moving your BDR to the cloud really delivers the same benefits. Yes … sometimes. If you're contemplating a new cloud solution, keep these four factors in mind.

1. How Long are You Willing to be Down?

In the era of 24/7 uptime, even twenty minutes of downtime can outrage customers. When physical backups can't be retrieved quickly, the ensuing delay can make IT leaders look to the cloud. Complex failover processes can also hinder recovery. If your uptime depends on the availability of trained staff or a shipment of backup tapes, your mission-critical systems won't be available when needed.

A major value proposition for moving to the cloud should be the capability to boot up a clone of your environment in minutes. This eliminates the need to ship or retrieve physical backups. Some cloud solutions also feature simple failover processes, allowing your team to recover instantly instead of reading complicated instructions as crucial minutes tick away.

2. Is Cloud-Only BDR the Right Strategy?

Not always. Relying solely on cloud backup could lead to delayed recovery. While cloud solutions can accelerate recovery, they can also hinder it in some situations. Before making the jump to a cloud-only solution, you'll want to consider these possible delays:

■ Network speeds: Applications that rely on 100MB, 1GB, or more for connectivity will be challenged to match this to and from a cloud backup provider.
 
■ Network connectivity: You'll need to provide a path for external users, customers and production sites to your cloud backup provider, bridging the IP gap between what was once your LAN and now is a site in another data center.

■ Single server failure dependency: When you put your backups entirely in the cloud, failing over a single or small subset of servers to the cloud can break dependencies. Imagine running a small cluster with two out of three servers on the same LAN with 1GB+ speeds and the third member of the cluster sitting on a remote WAN link getting fair less access speeds.

3. How Does Bandwidth Affect Cloud BDR and Retrieval Speed?

While getting your data into the cloud is easy, retrieving it could be more complicated. Cloud backups are usually easy to create – just identify the servers and data to replicate, begin the sync, and off you go. However, keep in mind what you'll be able to recover and what it could cost you in terms of ingress/egress charges for data transfer.

While any modern LAN-based backup technology will perform file level restores at 1GB, cloud-based file level restores will rely on your Internet connection and your provider's bandwidth. If you have a 1TB volume to restore, this is how long it could take:

■ On-premise backup solution using 1GB LAN connection: approximately 18 minutes

■ Cloud backup solution using 10MB connection: approximately 32 hours

That's a big difference – and it will feel bigger if you're dealing with a Ransomware attack or other disaster.

4. What's the Real ROI with Cloud BDR?

When teams evaluate BDR solutions, they tend to calculate the savings realized by eliminating downtime. Automated testing and other features can improve operational efficiency, and backup encryption and improved security can reduce risk. Yet too often teams don't get the full pricing picture when it comes to software-only BDR solutions.

Remember to factor in costs for external appliances, firewalls, switches and other network hardware critical to your BDR ecosystem. Your production environment will have BDR needs that go beyond the demo the vendor showed you. If you don't account for those requirements and costs up front, your CFO could be displeased by the hidden costs that surface in the months following your initial cloud deployment. Demand transparent and predictable DR pricing.

Cloud BDR can offer speed and security when used in conjunction with other tools, such as a hybrid cloud solution. Keep the above four questions in mind and you'll be more likely to get executive buy-in and keep your critical resources protected.

Related Links

Hot Topics

The Latest

Observability Is Becoming the Grid That Powers AI - and It Isn't Ready

For fifteen years, observability lived downstream of everything else. Code shipped, something broke, an engineer went to the dashboards. The job was forensic. The pillars we built, such as logs, metrics, and traces, were designed for that role: tell a human what just happened, fast enough that they can make it stop. That role has quietly ended ...

Hybrid IT Dominates Enterprise Architecture, with Colocation Anchoring Critical Workloads

Hybrid IT has become the standard operating model for enterprises — but that companies are still looking for the right hybrid IT mix, according to the 2026 State of the Data Center Report from CoreSite. After years of cloud migration and hybrid adoption, organizations are shifting their focus from deciding whether to use cloud, colocation or on-premises infrastructure to determining which workloads belong in each environment ...

AI is Moving Fast, and Enterprise File Data Is Not Ready

Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Move Fast Without the Usual Quality Penalty

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

When the Observability Bill Arrives for Agentic AI

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

AI is Breaking Enterprise Log Management

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

How Edge Intelligence Will Redefine Secure Connectivity

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

Production Inference Shifts Decisively to Private Cloud

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

Why DevOps Teams Build GenAI Tooling While Most Organizations Still Rely on Manual Monitoring

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Why Cloud Reliability Comes Down to People and How to Improve It

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...