Learn why a backup is only one part of a modern disaster recovery strategy. Discover the difference between backups and disaster recovery, why recovery speed matters and how organisations minimise downtime through planning, testing and resilient infrastructure.
Contents
Why Pay For A Modern System Your Teams Can’t Run Themselves?
The Infrastructure Mistakes Almost Everyone Makes First Time Round
“Don’t worry, we’ve got backups.”
It’s one of the most reassuring statements an organisation can make.
Whether I’m speaking to IT teams, senior leadership or business owners, hearing that backups are in place often creates a sense of confidence that the organisation is well protected against disruption. Until I ask my next question…
“How quickly could everyone be working again if your primary systems went offline?”
That’s usually where the conversation changes.
Backups are incredibly important. Every organisation should have them. They protect valuable data, help recover from accidental deletion, support compliance requirements and provide an essential safety net when things go wrong. Without reliable backups, recovering from a cyber-attack, hardware failure or human error becomes significantly more difficult.
The problem is that many organisations mistake having backups for having a disaster recovery strategy.
But they’re not the same thing at all.
A backup protects your information.
A disaster recovery plan protects your ability to operate.
#Backups-Are-Still-Essential
If your servers are unavailable, your applications won’t start, staff can’t log in or customers can’t access your services, successfully restoring yesterday’s data may only solve part of the problem. The wider challenge is restoring the technology, processes and services that allow your organisation to function.
Modern disaster recovery isn’t simply about getting data back.
It’s about getting your organisation back to work.
Before discussing what backups don’t do, it’s important to recognise just how valuable they are.
I’ve seen organisations recover from accidental deletions, failed software updates, ransomware attacks and hardware failures because they had reliable backups in place. In many cases, those backups prevented what could have become catastrophic data loss.
The purpose of this article isn’t to suggest backups are no longer important.
Far from it.
A strong backup strategy remains one of the foundations of good IT management.
The challenge comes when organisations believe backups alone provide everything they need to recover from a major incident.
They don’t.
Understanding where backups fit within a wider disaster recovery strategy is what separates organisations that simply protect their data from those that are genuinely prepared for disruption.
At its simplest, a backup is a copy of your information that can be restored if the original is lost, damaged or compromised.
That information could include documents, databases, emails, virtual machines or entire business applications.
Backups help organisations recover from a wide variety of situations, including:
Without backups, recovering from any of these situations becomes significantly more complex, expensive and, in some cases, impossible.
That’s why every organisation, regardless of size, should have a well-designed backup strategy.
The better question isn’t whether you need backups.
It’s whether your backups alone are enough to restore normal business operations.
Backup technology has evolved dramatically over the past decade.
Many organisations have moved away from relying solely on physical tapes or local storage and now benefit from cloud-based backup platforms that offer greater resilience, security and flexibility. Solutions such as Microsoft Azure Backup provide encrypted, off-site protection that helps safeguard data against hardware failures, accidental deletion and many forms of cyber-attack.
Features such as immutable backups, retention policies, geo-redundant storage and automated scheduling make today’s backup solutions significantly more robust than many organisations have relied upon in the past.
These advances are hugely valuable.
They improve reliability, reduce administration and make recovering information considerably easier.
However, even the most advanced backup solution still performs one primary role.
And it certainly doesn’t get hundreds or thousands of employees back to work by itself.
That’s where disaster recovery begins.
It’s easy to understand why organisations assume backups and disaster recovery are the same thing. After all, if your data is safely stored somewhere else, surely you can simply restore it and carry on?
Unfortunately, real-world incidents are rarely that straightforward.
When a major outage occurs, restoring the data is often the quickest part of the recovery process. The bigger challenge is rebuilding everything that allows that data to be used.
Applications need to start correctly. Servers need to communicate. Users need to authenticate. Networks need to route traffic. Security policies need to function. External integrations need reconnecting. Customers need access to the services they rely on.
In other words, your organisation doesn’t run on data alone.
It runs on an entire technology ecosystem.
That’s why disaster recovery focuses on restoring services rather than simply restoring files.
Imagine your finance server suffers a catastrophic failure.
Fortunately, you have a complete backup from the previous evening. That’s excellent news!
But restoring that backup is only the beginning.
The server itself may need rebuilding. The operating system may need reinstalling. Business applications must be configured correctly. User permissions need restoring. The server must reconnect to databases, authentication services and the wider network before anyone can actually use it.
If that finance system also integrates with your CRM, ERP platform, payroll software or reporting tools, those connections need to be working too. Only then can users log in and continue doing their jobs.
The same principle applies across almost every modern organisation. A backup protects the information. It doesn’t automatically recreate the environment that information depends upon.
Today’s technology estates are highly interconnected. Microsoft Dynamics 365 may integrate with Microsoft 365, the Power Platform, Azure services, third-party applications and on-prem infrastructure. Losing one critical component can have a ripple effect across multiple business systems. That’s why recovering an individual server is very different from recovering an organisation.
The question shouldn’t simply be…
“Can we restore the data?”
It should be…
“Can we restore the service that people rely upon?”
Those are two very different objectives.
One of the biggest shifts I’ve seen in disaster recovery over the years is the move away from thinking purely about infrastructure. Successful recovery isn’t measured by how quickly an IT team restores a server. It’s measured by how quickly the organisation can resume normal operations.
Ultimately, technology exists to support people.
If employees are still unable to work, customers can’t access services or key business processes remain unavailable, then the organisation hasn’t truly recovered, regardless of how many successful restores have taken place behind the scenes. That’s why modern disaster recovery planning begins with understanding the organisation rather than the technology.
Answering these questions allows recovery efforts to focus on restoring business capability, not simply rebuilding infrastructure.
I’ve sometimes heard disaster recovery described as “recovering IT systems“, but personally I think that’s too narrow. The real objective is restoring the services those systems provide.
Employees don’t care whether a virtual machine has successfully booted. They care whether they can log in and do their jobs.
Customers don’t measure recovery by how many databases have been restored. They measure it by whether your website, portal or support service is available when they need it.
That distinction might seem subtle, but it fundamentally changes how organisations approach resilience.
Instead of asking, “How do we restore this server?”, the conversation becomes, “How do we restore the business service that this server supports?”
That’s a much more valuable question.
Very few technology environments are made up of isolated systems. Almost everything depends on something else.
A business application might rely on a database server. That database depends on storage. User authentication depends on Microsoft Entra ID or Active Directory. Remote workers may rely on VPN connectivity, whilst external integrations connect through APIs or secure gateways.
Trying to restore these components in the wrong order can dramatically increase downtime.
For example, there’s little value restoring an application server if users can’t authenticate, or bringing a reporting platform online before the database it depends upon has been recovered.
An effective disaster recovery plan identifies these dependencies in advance.
It establishes priorities, defines recovery sequences, allocates responsibilities and ensures everyone understands their role should a major incident occur.
Without that planning, recovery quickly becomes reactive, with technical teams making critical decisions under pressure.
That’s rarely when organisations do their best work.
Disaster recovery can’t rely on one experienced engineer remembering a series of commands from memory at three o’clock in the morning. It needs to be structured, documented and, wherever possible, repeatable.
Consistency reduces mistakes. Repeatability reduces stress.
That’s one reason automation is becoming increasingly important in modern infrastructure. Configuration management tools such as Puppet, Ansible and Chef, alongside Infrastructure as Code approaches, allow organisations to rebuild environments using predefined, tested configurations rather than relying on manual intervention.
The result is faster, more predictable recovery and fewer opportunities for human error during an already stressful situation.
Technology will almost always fail eventually.
The organisations that recover most effectively aren’t necessarily the ones that experience the fewest incidents. They’re the ones that have already planned exactly how recovery will happen long before they ever need it.
If you ask most organisations whether they could recover from a major IT incident, the answer is usually yes. Ask how long recovery would take, however, and the conversation often becomes far less certain.
Would critical systems be back online within fifteen minutes? A few hours? Several days?
Would yesterday’s data be acceptable, or would losing even thirty minutes of transactions have serious consequences?
These are the questions that separate backups from disaster recovery planning.
A backup tells you that a copy of your data exists. A disaster recovery strategy defines how quickly systems should be restored and how much data loss the organisation can tolerate.
Those objectives should never be guessed during an incident. They should be agreed long before anything goes wrong.
Recovery Time Objective, often shortened to RTO, is simply the maximum amount of downtime an organisation is prepared to accept before a service is restored.
Every system has an RTO, whether it’s been formally defined or not.
For some organisations, an internal HR portal being unavailable until the following morning may have very little impact. A few hours of downtime are inconvenient, but manageable.
A customer-facing website processing online sales however is a very different story. Every hour offline could mean lost revenue, frustrated customers and damage to the organisation’s reputation.
Likewise, a hospital’s clinical systems or a manufacturing company’s production environment may require recovery within minutes rather than hours. That’s why recovery objectives should always be driven by business priorities rather than technical capability alone.
Not every system needs to be restored immediately. The key is knowing which ones do.
Once those priorities have been established, the technology strategy can be designed to support them.
Recovery Point Objective, or RPO, focuses on something slightly different.
Rather than asking “How quickly can we recover?”, it asks: “How much data could we afford to lose?”
Imagine your organisation performs backups every evening at midnight.
If a critical server fails at 4:00 pm the following day, everything created since that backup may be lost. For some organisations, losing sixteen hours of work would be unacceptable.
For others, it may be an acceptable trade-off when balanced against cost and complexity.
That’s why backup schedules shouldn’t simply be based on convenience. They need to reflect the value of the information being protected.
Critical financial transactions, healthcare records or customer orders may require near-continuous replication, whilst archived information or historical records can often tolerate longer recovery points.
And let’s be clear, there isn’t a universal answer.
The right RPO depends entirely on the organisation’s operational and commercial requirements.
This is one of the biggest misconceptions I encounter. An organisation proudly tells me they have successful backups every night.
That’s excellent.
But successful backups don’t automatically mean the organisation can recover within its required RTO or RPO.
Imagine restoring several terabytes of data from backup.
The data may be perfectly intact, but downloading, validating and rebuilding the surrounding infrastructure could take many hours or even days.
By the time users regain access, the agreed recovery window has already passed.
Equally, if backups only occur once every twenty-four hours but the business can only tolerate losing fifteen minutes of data, then the backup strategy simply doesn’t align with the organisation’s needs.
That’s why disaster recovery starts with business objectives and works backwards.
The technology should support the organisation’s recovery requirements, not define them.
As organisations have become increasingly dependent on technology, disaster recovery has evolved alongside it.
The traditional approach of restoring servers from backup after an incident is still valid in many situations, but it’s no longer the only option. Modern infrastructure is increasingly designed to minimise disruption rather than simply recover from it afterwards.
Cloud platforms, automation and intelligent replication have transformed what’s possible.
Instead of asking, “How do we rebuild everything?”, organisations can increasingly ask, “How do we keep critical services running?”
That shift fundamentally changes how resilience is designed.
One of the biggest advances in disaster recovery is the ability to replicate systems continuously to another location. Rather than waiting for an incident before beginning recovery, critical workloads can already exist elsewhere, ready to take over if required.
Services such as Microsoft Azure Site Recovery allow organisations to replicate virtual machines and workloads into Microsoft Azure, providing the ability to fail over to a secondary environment when a primary site becomes unavailable.
That doesn’t eliminate the need for backups though. Instead, it complements them.
Replication helps minimise downtime. Backups protect data and provide longer-term recovery options.
Together, they create a far more resilient recovery strategy than either could achieve alone.
Anyone who has rebuilt a complex infrastructure manually knows how time-consuming the process can be.
Every server configuration, firewall rule, network setting and application dependency introduces another opportunity for delay or human error. Automation removes much of that uncertainty.
Using Infrastructure as Code alongside configuration management platforms such as Puppet, Ansible and Chef, organisations can deploy consistent environments repeatedly using predefined templates and automated workflows.
Instead of rebuilding infrastructure piece by piece, much of the recovery process can be performed automatically, reducing recovery times whilst improving consistency.
The faster recovery becomes, the less disruption the organisation experiences.
Cloud platforms such as Microsoft Azure have changed disaster recovery from something many organisations viewed as prohibitively expensive into something that’s far more flexible and achievable.
Rather than maintaining duplicate physical infrastructure that may never be used, organisations can take advantage of cloud services that scale when they’re needed. Features such as Availability Zones, regional redundancy and cloud-based recovery environments allow organisations to build resilience in ways that would previously have required significant investment.
Of course, moving to the cloud doesn’t remove the need for disaster recovery planning.
Applications still need priorities. Dependencies still exist. Recovery still needs testing.
The difference is that organisations now have significantly more options available to help them recover quickly, efficiently and with far less disruption than was possible just a few years ago.
There’s a phrase that’s often repeated in IT… “Your backups are only as good as your ability to restore them.”
However, I’ve always felt that’s still only half the story.
A backup isn’t truly valuable because it completed successfully overnight. It’s valuable because, when disaster strikes, it allows your organisation to recover quickly, predictably and with confidence.
Unfortunately, many organisations regularly monitor whether backups complete successfully, but rarely test what happens afterwards.
The first time they attempt a full recovery is often during a real incident. That’s a risky time to discover something doesn’t work as expected. Testing transforms disaster recovery from hope into confidence.
Most backup platforms will happily tell you whether last night’s backup completed successfully.
That’s useful information. What they can’t tell you is whether that backup will restore exactly as you expect, within the timeframe your organisation requires.
I’ve seen situations where backups existed, but applications no longer functioned correctly after restoration because of configuration changes, missing dependencies or software versions that no longer matched the production environment.
In other cases, organisations discovered that recovery took far longer than expected because they’d underestimated how much data needed restoring, how quickly it could be transferred or how many interconnected systems had to be rebuilt before users could log in.
Even something as simple as recovering a virtual machine doesn’t necessarily mean the wider service is operational.
These are the kinds of questions that successful backups alone can’t answer.
Only testing can.
Disaster recovery testing doesn’t have to mean shutting down your production environment for a weekend. There are many ways organisations can validate their recovery strategy without disrupting day-to-day operations.
Tabletop exercises allow technical teams and business stakeholders to walk through a disaster scenario, identifying gaps in responsibilities, communication and decision making.
Test restores verify that backups can actually be recovered and that the restored data is complete and usable.
More mature organisations may perform full disaster recovery exercises, validating failover processes, recovery times and the performance of critical applications in alternative environments.
Each of these exercises provides valuable insight. They identify weaknesses before they become business problems. They expose assumptions that may no longer be true.
Perhaps most importantly, they build confidence.
When a genuine incident occurs, your teams aren’t attempting recovery for the first time under pressure.
They’re following a process they’ve already rehearsed, refined and improved.
That’s exactly how disaster recovery should work.
No two organisations are identical.
A charity, a manufacturer, a university and a professional services firm will all have different systems, different priorities and different recovery objectives.
Because of that, there’s no universal disaster recovery template that fits every organisation.
There are, however, a number of common principles that consistently underpin successful recovery strategies.
Rather than relying on a single technology or product, modern disaster recovery combines planning, resilient infrastructure and regular validation to ensure the organisation can continue operating when disruption occurs.
Every recovery strategy starts with dependable backups.
Data should be protected, encrypted and stored securely, with appropriate retention policies that reflect both operational needs and compliance requirements.
Equally important is ensuring backups are monitored and reviewed regularly. A failed backup that goes unnoticed offers little protection when it’s needed most.
Reliable backups remain the foundation of disaster recovery.
They’re simply not the whole building.
Technology should support business priorities, not dictate them. Understanding which services are most critical, how quickly they need to be restored and how much data loss is acceptable allows organisations to make informed decisions about investment, resilience and recovery technologies.
Without clearly defined recovery objectives, it’s impossible to know whether a disaster recovery strategy is truly fit for purpose.
Modern infrastructure should be designed with resilience in mind from the outset.
That may include cloud platforms such as Microsoft Azure, replicated environments, resilient networking, high availability services or secondary recovery locations.
The goal isn’t simply to rebuild infrastructure after failure. It’s to minimise disruption in the first place.
The more resilient the underlying platform becomes, the simpler recovery often becomes too.
Manual recovery processes are rarely fast, and they’re even less reliable when people are working under pressure.
Automating repetitive deployment and configuration tasks helps reduce human error whilst ensuring environments can be rebuilt consistently every time. Whether that’s through Infrastructure as Code, configuration management platforms or automated recovery workflows, reducing manual intervention almost always improves recovery outcomes.
Perhaps the most overlooked component of disaster recovery is recognising that it’s never truly finished.
Technology changes. Applications evolve. Infrastructure grows. New integrations are introduced.
Every significant change has the potential to affect recovery.
That’s why disaster recovery plans should be reviewed, tested and refined regularly.
Each exercise provides an opportunity to improve documentation, update recovery procedures and strengthen organisational resilience.
A disaster recovery plan shouldn’t sit untouched in a folder until it’s needed.
It should evolve alongside the organisation it protects.
Backups are one of the most valuable investments an organisation can make.
Without them, recovering from data loss, cyber-attacks or hardware failures becomes significantly more difficult. But it’s important to recognise what backups are designed to do.
They protect your information.
A disaster recovery plan does something much bigger. It protects your ability to continue operating.
The organisations that recover most effectively aren’t necessarily those with the largest backup repositories or the most expensive technology. They’re the ones that understand their business priorities, design resilient infrastructure, define realistic recovery objectives and regularly test the processes they’ll rely on when disruption occurs.
In my experience, successful disaster recovery isn’t about reacting well when something goes wrong. It’s about making so many good decisions beforehand that recovery becomes a planned process rather than a crisis.
Because when the unexpected happens, your organisation won’t be judged by whether yesterday’s backup completed successfully. It will be judged by how quickly your people, your systems and your services are back up and running.
Written By:
VMware And The Vendor Lock-In Wake-Up Call
What Is IAC (Infrastructure-As-Code)?
Although they’re closely related, they solve different problems.
High availability is designed to keep systems running during smaller failures by reducing or eliminating downtime. Disaster recovery focuses on restoring services after a more significant incident, such as ransomware, hardware failure, flooding or the loss of an entire site. Many organisations use both as part of a wider resilience strategy.
A disaster recovery plan should be reviewed whenever significant changes are made to your IT environment, such as introducing new applications, migrating to the cloud or changing critical infrastructure. Even without major changes, most organisations should carry out a formal review at least once a year to ensure the plan remains accurate and effective.
The 3-2-1 backup rule is a widely recognised best practice for protecting business data. It recommends keeping at least three copies of your data, stored on two different types of media, with one copy held off site. This approach reduces the risk of data loss caused by hardware failure, cyber-attacks or site-wide incidents.
An immutable backup is a backup that cannot be changed, encrypted or deleted for a defined period. This provides an additional layer of protection against ransomware and malicious activity, helping ensure a clean recovery point is available if production systems become compromised.
Not necessarily. Both approaches can provide excellent resilience when they’re designed and managed correctly. Cloud platforms such as Microsoft Azure offer greater flexibility, scalability and geographic redundancy, but the effectiveness of any disaster recovery solution ultimately depends on planning, configuration, testing and ongoing management rather than where the infrastructure is hosted.
The length of a disaster recovery test depends on its scope. A simple backup restoration may take only a few hours, whilst a full disaster recovery exercise involving multiple systems and business teams could take several days to plan and complete. The important thing is that testing is carried out regularly and the results are reviewed to identify opportunities for improvement.
Yes. Whilst the scale and complexity will vary, every organisation relies on technology to some extent. Even small businesses can experience significant disruption following cyber-attacks, hardware failures or accidental data loss. A disaster recovery plan helps reduce downtime, minimise business disruption and improve confidence when responding to unexpected incidents.
A disaster recovery plan typically includes an inventory of critical systems, recovery priorities, roles and responsibilities, recovery procedures, communication plans, recovery objectives, contact information and details of how the plan will be tested and maintained. The exact contents will vary depending on the organisation’s size, infrastructure and business requirements.
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