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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.

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The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

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.

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...