Threats to data have never been greater or more sophisticated. From ransomware attacks and a dizzying array of unmanaged endpoints to simple human error, enterprises must do more to ensure the availability of their missioncritical data when and where it is required.The regulatory, legal, operational and financial implications of lost or compromised data are staggering.

As a result, more time and money are being poured into new data protection solutions. Data protection is expected to become a $120 billion global market by 2022, growing by 16% on a compound annual basis since 2016. And privacy initiatives such as the Global Data Protection Regulation (GDPR) are key drivers in making data protection a top priority for enterprise IT organizations and their business counterparts.

Unfortunately, there’s a catch: Legacy backup point solutions are fragmented, inefficient, difficult to manage, and can’t keep up with the stringent recovery point objectives (RPOs) and recovery time objectives (RTOs) associated with service-level agreements (SLAs) and user requirements. Legacy data protection systems also are hampered by the reality that most were designed and implemented for a far different age—years before the advent of cloud computing and the software-defined paradigm.

A new philosophy about how to deploy and manage data protection that handles essential functions such as backup, archiving and data recovery is needed. This is causing innovative IT leaders to reimagine and rearchitect their secondary data infrastructure to simplify enterprise data protection, maximize storage capacity, reduce total cost of ownership (TCO), provide near-instant recovery and natively integrate with the public cloud providers. This paper looks at a new breed of modern, web-scale data protection solution—and examines how it makes data protection more manageable, more reliable and more affordable than legacy approaches.

The problems with Legacy Data Protection

Today’s data protection threat landscape must account for and address a wide range of factors, from data breaches, configuration errors, and technology refresh cycles to more stringent SLAs and plain old user error. Although these challenges may not be new, the frequency and impact of such threats have increased dramatically.

Additionally, organizations now need to meet much stricter SLAs and compliance requirements, which is exacerbated with rapidly growing data volumes. Legacy data protection solutions, therefore, no longer are efficient or effective in dealing with rapidly evolving and high-impact threats.

The result is a cascade of drawbacks and limitations, each with significant implications for the enterprise. For instance:

  • Highly fragmented data protection environments
  • The need to manage multiple product vendors
  • Storage inefficiency
  • Data protection processes and systems that are not optimized for modern architectures.
  • Expensive insurance policy
  • A need for forklift upgrades to accommodate evolving business requirements and new technologies and ensure that IT modernization keeps pace with digital transformation.
  • Longer backup windows and slow recovery

How a modern, web-scale solution changes the game in data protection

So, if traditional approaches are inefficient and don’t do nearly enough to ensure the very high levels of data protection required in today’s demanding business environment, what kinds of changes are needed in order to change the rules of the game?

It is essential to architect your data protection environment with a modern, web-scale approach. This not only accommodates the massive increase in data—especially unstructured data—experienced by all enterprises, but also supports hyperscaled workloads that require high performance, resiliency, storage capacity, cost efficiency, rock-solid security, easy management and agility.

A modern, web-scale data protection infrastructure for today’s demanding IT environment ideally must support:

  • Elimination of multiple, disconnected hardware and software silos that have often sprung to accommodate different data protection functions.
  • Tightly converged infrastructure design that integrates everything from storage hardware and software (backup, deduplication and compression) to cloud gateways and tape libraries.
  • Faster backups for near-instant RTOs.
  • Unlimited snapshots and clones for short RPOs—ideally as short as 5 minutes.
  • Cloud-native, software-defined architecture that offers customers increased flexibility and choice.
  • Scale-out architecture for improved performance at web scale.
  • Non-disruptive online upgrades to eliminate planned downtime.
  • Web-scale expandability with greater resiliency, higher storage efficiency and near-instant recovery.
  • Improved storage capacity and performance utilization, which reduces the likelihood of overprovisioning.
  • Cost-efficient commodity hardware, rather than proprietary, specialized infrastructure. Reduced Capex but also lower Opex from lower management costs, smaller footprint, and reduced power and cooling requirements—all of which result in lower TCO and faster time to value.

The growing importance—and complexity—of data protection means old approaches no longer will get the job done in an era of exploding data volumes and ever-changing business requirements. It’s time to re-imagine and re-engineer your IT infrastructure for a more efficient, affordable and manageable data protection framework.

This whitepaper should help you learn:

  • The problems with legacy data protection
  • How a modern, web-scale solution changes the game in data protection
  • How Cohesity’s solution improves on manageability, scalability, storage and cost efficiency, and improved recovery times

To read full download the whitepaper:
Taking a Modern Approach to Data Protection for Web-Scale Infrastructure

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