Backup and recovery is the process of duplicating data and storing it in a secure place in case of loss or damage, and then restoring that data to a location — the original one or a safe alternative — so it can be again used in operations. Ideally, this backup copy (often called a snapshot) is immutable —meaning it cannot be altered after it is created to protect against mutations such as ransomware. Backup and recovery is also a category of onsite and cloud-based technology solutions that automate and support this process, enabling organizations to protect and retain their data for business and compliance reasons.
What are the 3 Types of Backups?
Backups are often bucketed into three categories:
Full backups – Like filling up an extra tire at the service station, think of this process as pumping all of the data stored on a production system into a backup system for safe keeping. Full backups protect every bit of data from a single server, database, virtual machine (VM), or data source connected to the network. These backups can take many hours, even days, depending on the amount of data being saved. The more modern a data management solution is, the fewer full backups it must perform, and when it does, the faster it goes.
Incremental backups – Think of incremental backups as adding just a little more air each time you revisit the station — just in case — so you’re always ready to replace your tire. An incremental backup captures only new data since the last full incremental was performed. However, a full backup is required before a backup solution can perform its first incremental backup. Then it can automatically do them based on the last incremental taken.
Differential backups – Like incremental backups, these add more air but the delta is from the last full backup, not the last incremental. Think of this backup as what’s different from the last time you even filled the tire with air. Again, this can only happen if a full backup has been performed first. Organizations typically establish policies about how much data and when incremental or differential backups should occur.
What is the Difference Between Backup and Recovery?
The key difference between backup and recovery is that the backup process is how you save and protect your production data and safely store it away so you have it for a later time, when you might need to use it.
Recovery is the process whereby you retrieve and restore that backup data to your production systems to avoid downtime.
Reliable backups and fast recovery together ensure business continuity and business resilience.
What Are the Types Of Data Recovery?
The amount of data organizations create, capture, and store has skyrocketed over the last decade. And analysts anticipate the amount of new data generated will grow at more than 50% compounded annually.
Because enterprises and people are storing data in more places, new categories of data recovery have emerged. These include:
Granular recovery of files, folders and objects – Also known as file-level or object-level recovery, this is the process of quickly getting back one or just a few specific data sets from among many volumes
Instant mass restore – This process allows IT staff to recover not just files but hundreds of virtual machines (VMs) instantly, at scale, to any point in time, saving time and resources
Volume recovery – A process teams that need to recover an unlimited number of VMs at the same time use for faster recovery; for example, all VMs belonging to an application group
Virtual Machine Disk (VMDK) recovery – This recovery process ensures all data and apps on a VM are restored quickly
Bare machine recovery – The process of restoring an entire operating system (software, apps, and data) in one process
Instant volume mounts – Teams can save time using a backup solution as a target to restore an entire volume to a Windows VM
Instant restores of VMs – This process restores a large number of VMs to any previous recovery point with backup copies fully hydrated and available immediately
What Is Disaster Recovery Backup?
For enterprises, a disaster is when a catastrophic event occurs that negatively impacts your people and/or your data. The event can be natural — a hurricane taking down a data center, for example. Or a disaster can be human-made such as a ransomware attack.
Disaster recovery is the process your IT organization goes through to restore data. And increasingly, organizations are setting aside a complete or full backup of entire environments — either on-premises or in the public cloud — to ensure all of their data could be made available, quickly, in the event of a catastrophe.
What Types of Data Sources Typically Need to Be Recovered?
All of the data sources that your organization protects may at some time need to be recovered. These include:
VMs (VMware, Microsoft, Nutanix)
Physical servers (Windows, Linux)
Databases (RDBMs) and Distributed Databases (NoSQL, Hadoop, Mongo, Apache, etc.)
Containers (e.g. Kubernetes)
Applications (Microsoft Exchange, SAP HANA)
SaaS applications (Microsoft 365, Salesforce)
Why Do You Need a Data Backup and Disaster Recovery Plan?
Data is essential to organizations of all types and sizes. You need a robust data backup and disaster recovery plan because it provides a roadmap for the people responsible for taking charge in a disaster scenario to know who is doing what and in what sequence to restore operational functionality. Your DR plan should include both people and processes, serving as a guide for employees to follow as they bring your business back up.
A robust data backup and disaster recovery plan also should ensure that your data is always protected — as and after you move it from day-to-day, production systems for short- and long-term retention. And with the best backup and disaster recovery plan, you will always have your data readily available should you need it.
Imagine if the data needed to operate your business, department, or agency was unavailable, even for a few minutes, never mind hours, days, or weeks. Customers would be unhappy. Employees would be, too. And in the case of ransomware, your entire business might even cease to exist. Effective backup and recovery of important data prevents all of these scenarios.
Is Data Deduplication Important in Backups?
Yes, data deduplication is absolutely important in backups. Here’s why. Data is growing exponentially and organizations are retaining more data — for marketing, compliance, and more — than ever. Because of this, IT teams need to deploy techniques that will help their organizations reduce data footprints, keeping costs lower.
Advanced data reduction through deduplication enables more data to fit into the same hardware space — helping to reduce cost.
The most powerful and flexible global deduplication architecture is variable-length data deduplication technology that spans an entire cluster across various data sources rather than simply a single node, resulting in significant savings across the entire storage footprint.
With variable-length deduplication, the size is not fixed. Instead, the algorithm divides the data into chunks of varying sizes based on the data characteristics. The chunks are cut in a data-dependent way that results in variable sized chunks and results in greater data reduction than fixed-size deduplication. The efficiency benefit of variable-length deduplication compounds over time, as additional data is retained.
Integrated data compression adds a boost. Compression works well on a single file, but across files, there is a need for some macro-level data compression. Why? Because when two identical copies of a file are stored, compression can individually compress the files while deduplication can completely eliminate the need to store any data for the second copy. So adding compression to the deduped data further reduces data size.
This works by finding small byte patterns common between the deduplicated blocks. Based on the type of data being ingested, compression can provide no benefit for encrypted or random data or up to 5–10x compression for common log files. Deduplication ratios for VMs, databases, file shares all lie somewhere in between that range.
Why is Backup and Recovery Important?
Data powers your organization and your competitive advantage. That’s why backup and recovery is important. With a robust backup and recovery strategy — and technology solution — in place, your organization can:
Prevent data loss – The fallout from lost or compromised data ranges from irritating to costly. Businesses can suffer financial penalties as well as loss of customer trust and brand reputation. The main role of backup and recovery is to preserve critical data in case of loss or damage
Sustain operations – In face of disaster — natural or manmade including a ransomware attack — businesses keep functioning
Maintain a good customer experience – Lost customer records create business challenges such as reduced customer satisfaction and revenue as well as non-compliance with regulations. Alternatively, rich always-available customer datasets drive greater customer loyalty and, consequently, higher profits
Keep employees productive – Effective data backup and recovery eliminates wasted time employees must spend rewriting reports, rekeying data, or recalculating spreadsheets when data and files go missing
Retain historical records – Backing up data allows businesses to build corporate archives of their operations, and in some cases is mandated by industry or government regulations
Satisfy auditors – Laws differ from one jurisdiction to another, but having important accounting and other financial records backed up, recoverable, and easily accessible for both tax reasons and audits is critical to business operations
Achieve peace of mind – Whether a hurricane, cybercrime, or system failure, bad things can happen to even the most well-managed companies. Having a robust data backup and recovery strategy, supported by the right technology solution means that your organization can be resilient and weather even the most difficult circumstances
Modern, Comprehensive Backup and Recovery Versus Traditional Backup and Recovery
Modern, Comprehensive Backup and Recovery
Traditional Backup and Recovery
Low (or no) capital costs. Modern backup solutions are typically a single platform with low or no on-prem infrastructure footprint, keeping backup and recovery costs low.
High capital costs. Often IT must cobble together multiple, costly infrastructure point products for data backup which raises costs.
Fast, accurate backups. Modern backup eliminates data silos and automates operations for faster, more accurate backups than traditional approaches.
Slow, error-prone backups. Traditional backup contributes to mass data fragmentation — having siloed data that requires manual operations and leads to greater backup errors than modern approaches.
Set and forget policies. Once IT staff creates and approves policies, they are easily and automatically added to data sources as servers join the network.
Tedious policy setting. IT staff must create and manage a unique policy for each data source as it is added to the network. And if a server is added without IT being notified, the business risks data not being backed up.
Instant and predictable recovery. Modern backup minimizes data loss and provides predictable recovery assurance with restores at scale, and to any point in time.
Unpredictable recovery. Traditional backup can be slow and error-prone, often bleeding into production time.
Unlocks business value through complete data visibility. Because there are no longer data silos and all backups are completed on one platform, IT can see and gain insights from all of enterprise data and apps.
No access to business insights because data is dark or hidden. Because backups are completed using many products and data can easily be lost, IT has dark data that makes it impossible to use for business insights.
Ransomware protection. Modern backups feature immutable snapshots and have minimal data center footprints, reducing attack surfaces.
Ransomware protection. Traditional backups do not include immutable snapshots and have large data center footprints, widening attack surfaces.
Cohesity’s Modern Approach to Backup and Recovery
The single biggest challenge with trying to put an enterprise-wide backup and recovery strategy in place is that data typically resides in numerous places: in on-premises systems, clouds, and at the edge. Mass data fragmentation from siloed hardware and software and incomplete visibility into enterprise data means that time that should be spent on business innovation is wasted managing and maintaining disconnected point solutions.
Cohesity provides a backup and recovery solution that converges multiple point products and backs up data whether it is stored on-prem, at the edge, or in the public cloud on a single multicloud data platform. By taking a complex operation and simplifying it for businesses, Cohesity ensures business continuity, minimizes data loss, and reduces the total cost of ownership (TCO).