Cohesity Data Protection White Paper

Cohesity Data Protection

White Paper

Table of Contents

Executive Summary ………………………………….................................................................................................. Page 2

Challenges in data protection fueling the next wave of innovation ……………..........................…. Page 2

Introducing Cohesity next generation Hyperconverged solution for Data Protection …….... Page 4

Cohesity Technical Advantages …………………….................................................................................………. Page 6

Cohesity Performance Advantages.............................................................................................................Page 10

Cohesity is powering customers into a new era of data protection ………................................…..Page 11

Executive summary

Cohesity provides the only hyper-converged platform that eliminates the

complexity of traditional data protection solutions by unifying your end-

to-end data protection infrastructure – including target storage, backup,

replication, disaster recovery, and cloud tiering. Cohesity DataPlatform

provides scale-out, globally deduped, highly available storage to consolidate

all your secondary data, including backups, ﬁles, and test / dev copies.

Cohesity also provides Cohesity DataProtect, a complete backup and

recovery solution fully converged with Cohesity DataPlatform. It simpliﬁes

backup infrastructure and eliminates the need to run separate backup

software, proxies, media servers, and replication. This paper speciﬁcally

focuses on the business and technical beneﬁts of Cohesity DataPlatform for

the data protection use case. It is intended for IT professionals interested in

learning more about Cohesity’s technology dierentiation and advantages it

oers for data protection - (i) Eliminate complexity with a uniﬁed platform

for end-to-end data protection (ii) Ensure fast Recovery Points and near-

instantaneous Recovery Times (iii) Increase storage eciency with scale-out,

globally deduped storage (iv) Integrate seamlessly with all the leading cloud

providers to leverage economics of public cloud services.

Challenges in data protection fueling

the next wave of innovation

A robust data protection strategy must meet the following criteria: (i)

Provide local data protection from accidentally deleted ﬁles, application

crashes, data corruption, and viruses (ii) Enable fast recovery of individual

ﬁles and applications (iii) Retain data for long periods of time to satisfy

compliance and regulatory requirements (iv) Provide o-site data protection

and reliable Disaster Recovery.

Over the last two decades, we have experienced tremendous innovations in

data protection technology. Each innovation made huge advances in backup

& recovery SLAs with much greater simplicity when compared to previous

generations of products (Figure 1).

Figure 1: Evolution of data protection technologies. Cohesity is driving

innovation through a Hyperconverged Data Platform that improves the

Data protection metrics of speed and economics.

Tribune Media, a global media

company, had separate data

management, protection, and storage

solutions that resulted in integration

challenges and management

complexity. Tribune achieved the

following beneﬁts by deploying

Cohesity DataProtect

Key Beneﬁts

• Simplify data protection with

integrated backup and recovery

running directly on the Cohesity

DataPlatform

• Instantly search-and-recover data

with the Cohesity indexing engine

• Scale data protection across the

enterprise with Cohesity’s web-scale

DataPlatform architecture

– David Giambruno,

CIO and Senior VP of IT

Cohesity gives us

an easy way to manage,

store, and extract value

from our data — all from a

single platform that scales

as we need it. Cohesity is

dramatically simplifying the

way we do business.

“

”

Hyperconverged Data Platform

Operational simplicity

speed of backup and recovery

2016

1990’s

Mid 2000’s

Tape Archive

Dedupe Appliance

Early 2000’s

Disk-to-Disk-to-Tape

2010’s

Cloud

GS1, global logistics provider, had data

growth rates of 30% with stringent

retention requirements. With a limited

time window for completing backups,

they were using expensive primary

storage to accomplish this task. By

leveraging Cohesity, they were able to

• Achieve faster backup and restore

that has shrunk RTO and RPO

windows by over 90%

• Single pane of glass to manage

consolidated secondary storage

– Sase Janki, SVP of Technology

Faced with the complex

task of managing massive

amounts of data that

must be backed up and

secured, we are excited

about Cohesity’s vision for

converging data onto a

uniﬁed, scale-out solution.

Cohesity provides simpler

data protection and

powerful insight, which is

what we want from our

next-generation solution

for storage and recovery.

We look forward to scaling

this environment as we

need, one node at a time,

so we can spend less

time managing our data

infrastructure.

“

”

Originally data protection focused on backing up data from internal hard

drives to tape drives and libraries. With advances in disk densities and

inevitable reduction in costs, backup broadened to include hard disk

drives (HDD) as the backup target. HDDs also improved the granularity of

allowing individual items to be recovered thereby improving restore times

and processes. The next wave of disk-based backup introduced a tiered

backup architecture that combined disk and tape leading to Disk-to-Disk-

to-Tape (D2D2T). The continued growth of disk as a backup target oered

new opportunities to exploit the advantages of disk over tape leading to

deduplication and compression technologies driving eciencies in physical

storage. Vendors began packaging purpose built backup appliances to

further simplify deployment and maintenance. In the last few years, external

cloud based storage as a backup target has entered the scene driving

cost optimization eorts through a shift from upfront capital investment

to an operational pay-as-you-grow model. Cohesity provides the next

revolutionary wave of innovation that combines the advantages of disk-

based deduplication, scale-out architecture, uniﬁed data protection, and

native cloud integration. The net result is that Cohesity can deliver very fast

SLAs while simplifying the end-to-end data protection environment, at a

substantially lower cost per protected TB.

Before we delve into the details of the Cohesity data protection solution,

it is important to understand the metrics across which these incumbent

technology advances fall short in meeting the rigors of data protection. IT

executives increasingly recognize that the key driver of exponential data

growth is redundant copies of primary corporate data created by the various

point-solution tools used to protect, share, and analyze information. IDC

quantiﬁes this as the copy data ratio which is measured as the total data in

the environment over the total amount of production data. The increase in

this ratio for enterprises stems from data residing in backup storage systems,

in disaster recovery environments, in test and development clusters, and

in archival for long term retention; all of which quickly multiplies across

all applications. Gaining visibility and control over these data copies is

becoming paramount to gaining operational eciency and agility. Figure 2

is an illustration of the data protection architecture that is common across

enterprises today. The challenge is that the dierent tiers of storage and

backup solutions work in siloed hardware and software form factors with

their corresponding data management and protection software. The solutions

are mostly passive in nature, becoming expensive insurance policies that sit

idle until a restore request is received. Also, in many cases customers only

test these data backup copies infrequently and long gaps between testing

increase the chance of issues being found when data needs to be actually

recovered – at which point it may be too late.

VM VM VM

vSphere

Data Protection

Proxies / Media Servers Test / Dev

Cloud Gateway

Files

Tape

Target Storage

Remote Replication

Secondary

Physical / Database

App Servers

Figure 2: Challenges with current data protection solutions include but

are not limited to multiple siloed hardware and software, heterogeneous

management tools, islands of storage subsystems, and complexity of

operational maintenance.

When we look further at the incumbent data protection solutions through the lens of speed, complexity and costs, the

assessment is as follows:

Speed of Backup & Recovery measured against delivery on SLAs: The 24/7 nature of enterprise is leading customers

to reduce Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) to a minimum – ideally in the order of

minutes, not hours or days. In spite of the high investment across various products, enterprises are still incurring downtime

leading to several million dollars in penalties and lost productivity. This business impact is exacerbated by loss of customer

and employee conﬁdence if the data protection plan for critical services does not achieve its objectives. In trying to reduce

RTO and RPO; customers and vendors create expensive, complex and one-o solutions that require ongoing maintenance

to deliver on the “always-on-enterprise” precept.

Complexity of data protection environments: The solutions used to protect the data were designed more than 10 years

ago, and haven’t kept up with today’s environments. Data protection typically consists of a complex patchwork of point

products for target storage, backup software, media servers, proxies, replication, and disaster recovery. The net result is

that organizations are spending a lot of resources on data protection, simply as an insurance policy – maintaining copies of

data that will be unproductive until a failure or disaster happens.

Total cost of ownership: Organizations have invested in multiple solutions across backup, replication, DR, and archival to

create and manage multiple copies of their data. This leads to expensive data migrations, forklift upgrades, and sub-optimal

capacity planning strategies to accommodate future growth. In addition to the complexities associated with managing the

independent hardware and multiple software elements, data protection solutions often have dierent procurement methods

and licensing terms, making it extremely dicult for organizations to budget and procure. Even as customers are juggling

with all these elements, they are also looking at cloud services as an extensible part of an overall storage solution because

of the promise of economic and scalability advantages.

Introducing Cohesity DataPlatform for data protection

Cohesity was founded on the core vision of eliminating the fragmentation in data protection and putting an end to the

above mentioned shortcomings that plague incumbent solutions. Cohesity DataPlatform is the only hyper-converged

platform designed to manage all your secondary data. Inspired by web scale architectures, Cohesity provides a scale-

out, globally deduped, highly available platform to consolidate all your secondary data, including backups, ﬁles and test/

dev copies. Cohesity DataProtect provides a complete backup and recovery solution, fully converged with Cohesity

DataPlatform. It simpliﬁes backup infrastructure and eliminates the need to run separate backup software, proxies, media

servers, and replication.

VM VM VM

vSphere

Data

Protection

3rd party backups,

ﬁles, test / dev

Tape Remote Replication

Secondary

Physical / Database

App Servers

Cohesity Data

Protect

DataPlatform

Figure 3: Cohesity data protection for virtual and physical environments with integrated, policy-driven backup

and recovery. The solution also supports native cloud integration for tiering, archival, and replication to public

cloud services such as Google Cloud Storage Nearline, Microsoft Azure and Amazon S3/Glacier.

The Cohesity Data Platform and Cohesity Data Protect provides the following beneﬁts for data protection:

Eliminate complexity with a uniﬁed platform for end-to-end data protection: Cohesity provides an end-to-end backup

and recovery solution that is fully converged on the Cohesity platform. The Cohesity solution integrates backup, restore,

replication, DR and failover/failback orchestration, and eliminates the need for complicated point products. Data protection

is managed through a set of policies that specify application SLA requirements including RPO, retention policies, o-

site replication and cloud or tape archival. Managing data protection becomes as simple as assigning policies to Virtual

Machines and applications based on business requirements. Data can also be replicated across Cohesity clusters in multiple

sites to oer protection from disaster scenarios. This is all achieved with a single click user interface, drastically reducing the

time and overhead when compared with traditional data protection solutions.

Ensure fast Recovery Points and near-instantaneous Recovery Times: Cohesity supports zero-cost, highly scalable

snapshots and clones. Businesses can take a large number of clones at any time interval with uncapped retention policies,

without ever aecting performance or consuming additional space. Leveraging the Cohesity snapshots and fast, parallel

data ingest, businesses can protect applications as often as desired and reduce RPOs to as low as 15 minutes. Virtual

Machines can be recovered instantly by creating a clone of the backup VM and running that clone directly on the Cohesity

platform. If needed, the clone can be moved back to primary storage using Storage vMotion. Data protection is further

enhanced through an indexing engine that rapidly indexes all the VMs being backed up, the ﬁles within the VMs, and all

associated metadata. This has the beneﬁt of easily mining backup data with a simple text-based search and restore to

quickly ﬁnd VMs and ﬁles. This restore can also place the ﬁle(s) in the original source location further reducing the burden

associated with managing restore processes.

Leverage favorable economics of public cloud services: The Cohesity solution supports long term data retention to external

tape and public cloud services such as Google Cloud Storage Nearline, Microsoft Azure and Amazon S3/Glacier. Customers

can leverage the public cloud as an extension of the on-prem Cohesity infrastructure in one of three ways (i) CloudArchive–

archiving the older local snapshots in the Cohesity cluster to cloud for long-term retention. As restores from archivals are

typically few and far apart, the cost associated to recover data from the cloud can be kept under check. (ii) CloudTier

– using cloud as an extension to Cohesity’s built-in storage tiers provides the ability to algorithmically decide when to

down-tier or up-tier the data between Cohesity cluster and the Cloud. (iii) CloudReplicate – Replicating the latest data to a

Cohesity cluster in the cloud to provide Disaster Recovery and o-site data protection.

Increase storage eciency with scale-out, globally deduped storage: Cohesity provides a scale-out, globally deduped

storage platform. With the ability to add or remove individual nodes at any time, the Cohesity cluster automatically scales

Secondary

Traditional Secondary Storage

Cohesity DataPlatform

Data Protection

Test / DevFiles

Proxies / Media Servers

Target Storage

Cloud gateway

Data Platform

Cohesity

DataProtect

Cloud integration

DataPlatform

vSphere

3rd party backups,

ﬁles, test / dev

Integrated data protection

Secondary

Traditional Secondary Storage

Cohesity DataPlatform

Data Protection

Test / DevFiles

Proxies / Media Servers

Target Storage

Cloud gateway

Data Platform

Cohesity

DataProtect

Cloud integration

DataPlatform

vSphere

3rd party backups,

ﬁles, test / dev

Integrated data protection

Figure 4: Cohesity DataPlatform and DataProtect for virtual and physical environments with integrated,

policy-driven backup and recovery. The solution also supports native cloud integration for tiering, archival,

and replication to public cloud services such as Google Cloud Storage Nearline, Microsoft Azure and

Amazon S3/Glacier.

up or down by rebalancing the data and its associated metadata to ensure redundancy. The shared-nothing scale-out

model eliminates the cost and complexity associated with individual dedupe appliances. Cohesity enables a pay-as-you

grow, linear scaling model and increases space eciency by deduplicating across an entire Cohesity cluster – not just one

appliance. The platform increases availability by maintaining data availability even in the event of a complete node failure.

Finally, the Cohesity approach eliminates the need to perform data migrations for forklift upgrades.

Provide tight integration with VMware vSphere: Cohesity’s native data protection software enables businesses to easily

protect data for virtual and physical environments, dramatically reducing cost and complexity for businesses. Cohesity

DataProtect is tightly integrated with VMware vCenter for businesses to instantly see a full list of the virtual environment

and choose which virtual machines to protect. These virtual machines can then be protected with easy-to-use protection

proﬁles that can be customized based on SLA, retention period, or application group. The process leverages available

VMware APIs for Data Protection (VADP), eliminating the need to install in-guest agents across the virtualized infrastructure.

As new virtual machines are added, they are auto discovered and included in the protection policy that meets the desired

SLAs. Easy and intuitive policy administration through a single pane of glass provides a plug-and-play experience for

managing daily operations.

Support physical applications and custom backup scripts: In addition, Cohesity provides out-of-the-box adapters for

physical applications including SQL, Windows, Linux and other widely used enterprise applications. Customers also have the

option to supply custom backup scripts that leverage native APIs (such as Oracle RMAN, rsync for physical server, dumpbin

for MySQL) to move the backup ﬁle onto the Cohesity platform. Such broad support for virtual and physical environments

has the beneﬁt of having Cohesity schedule, report, replicate, and archive the backup datasets across heterogeneous

applications.

Support for 3rd party backup applications: Cohesity provides customers with choice of backup software. Cohesity

DataProtect provides the fully integrated backup and recovery solution on Cohesity DataPlatform. But Cohesity also

presents itself as an NFS target and integrates seamlessly with all the existing backup products. This gives customers

a choice of deploying the Cohesity solution in either of two modes (Figure 4): (i) Using Cohesity DataProtect or (ii)

Leveraging its highly ecient, web-scale storage capabilities as a backup target in conjunction with third-party data

protection software (such as Veeam, Commvault, NetBackup). In either mode, you can buy what you need today and scale

up as your data grows with the beneﬁt of leveraging the latest hardware technology in the market.

Cohesity Technical Advantages

Cohesity DataPlatform is a scale-out, hyperconverged platform for secondary data. It is deployed on Hyperconverged

Nodes – each one providing a combination of compute, SSDs and HDDs. Cohesity DataPlatform provides built-in dedupe,

compression, SnapTree snapshots, data indexing, replication, encryption, and cloud integration. Cohesity DataProtect is

fully integrated on the platform and provides an end-to-end backup and recovery suite.

Figure 5: Cohesity Architecture

Cohesity

DataProtect

Gain visibility

in dark data

Simplify data

protection

Extend data

to the public

cloud

Consolidate

backups and ﬁles

DataPlatform

Dedupe Snapshots Indexing Replication Cloud Encryption

Cohesity DataPlatform: Cohesity Data Platform is the scale-out, hyperconverged operating environment that provides

the storage target for data protection. Cohesity DataPlatform is deployed on Cohesity Hyperconverged Nodes -

hyperconverged x86 servers that provide compute and storage. Customers can start with as low as a three-node cluster and

scale out one-node-at-a-time, to accommodate future capacity and performance requirements.

Cohesity DataPlatform includes a true distributed ﬁle system with a shared-nothing architecture, inspired by web-scale ﬁle

systems (Google File System). The data is split into chunks and spread out across the nodes, with 2 copies of each chunk

for redundancy and availability. The ingest engine ensures that data is optimally placed onto the SSD or spinning disk tier

that best suits the proﬁle of the incoming data stream. In order to ensure that performance of the primary datastore is

impacted minimally, the ingest engine oers adaptive data throttling that modulates the backup ingest performance over

the production workloads at the vCenter or datastore level.

Global deduplication and compression: Data deduplication is a storage eciency feature that frees up storage capacity

by eliminating redundant data blocks. Dierent vendors implement deduplication at a ﬁle-level and/or a block-level of

dierent sizes, which only works well across a single storage pool or within a single object (e.g. application or VM). Cohesity

leverages a unique, variable-length data deduplication technology that spans an entire cluster, resulting in signiﬁcant

savings across a customer’s entire storage footprint (Figure 7). 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 chunk size is

varied in real time in response to the incoming data which results in greater data reduction than ﬁxed-size deduplication.

The eciency beneﬁt of variable-length deduplication compounds over time as additional backups are retained. Cohesity

also allows customers to decide if their data should be deduplicated in-line (when the data is written to the system) or

post-process (after the data is written to the system) to optimize the backup protection jobs against backup time windows.

Cohesity also provides compression of the deduped blocks to further maximize space eciency.

Figure 6: Cohesity’s global deduplication across all nodes in a cluster results in less storage

consumed compared to just node level deduplication used in several other in market data

protection solutions

Traditional dedupe implementation Cohesity dedupe implementation

Node level deduplication only maintains 1 copy of block

D; D2 is a pointer to D1. No dedupe is achieved for blocks

A & B.

Traditional dedupe implementation Cohesity dedupe implementation

Cluster level deduplication only maintains 1 copy of

blocks A, B & D. A2, B2 & D2 are just pointers to A1, B1 & D1.

This results in greater eciencies in terms of utililzation.

Node 1

Node 2

Node 3

Node 4

Node 5

Node 6

Node 1

Node 2

Node 3

Node 4

D1 D2

Node 5

Node 6

D1 D2

Cohesity SnapTree™ for managing data copies: In legacy storage solutions, snapshots (of a ﬁle system at a particular

given point in time) form a chain, tracking the changes made to a set of data and form the basis for organizing and storing

copies of data. Every time a change is captured, a new link is added to the chain. As these chains grow with each and every

snapshot, the time it takes to retrieve data on a given request grows because the system must re-link the chain to access

that data. Cohesity’s patented SnapTree™ technology creates a tree of pointers that limits the number of hops it takes to

retrieve blocks of data, regardless of the number of snapshots that have been taken. SnapTree uses a B+ tree data structure

such that access to any point in the tree takes a ﬁxed number of hops no matter how many snapshots there are, without

having to rebuild any chain linkage. Because SnapTree is implemented on a distributed ﬁle system, every node sees the

same nested structure of the chain with a ﬁxed depth independent of where the actual data is stored in the cluster. Keeping

the snapshots fully hydrated improves the recovery times of any snapshot from t0 to tn because it does not incur the time

penalty of traversing the entire chain of changes (Figure 6). This capability is available with the Integrated Cohesity data

protection.

Cohesity indexing engine for rapid search and recovery: Cohesity DataPlatform includes an indexing engine that enables

rapid search-and-recover capabilities. This allows users to quickly ﬁnd and restore ﬁles stored within higher-level data

objects such as VMs. This indexing engine automatically and rapidly indexes an entire vCenter cluster and all its associated

metadata. As virtual machines become protected, Cohesity’s indexing engine cracks open the underlying ﬁles and indexes

the metadata; enabling extremely fast, wild-card search results that are then used for instantaneous granular restores. As

organizations scale-out, this indexing engine spans across all nodes in the cluster, leveraging the aggregate power of all

CPUs and available memory to rapidly recover ﬁles or virtual machines. This greatly improves the RTO and RPO objectives

compared to traditional data protection architectures. This capability is available with the integrated Cohesity DataProtect.

Cohesity replication: The backups that are generated in one Cohesity cluster can be replicated to one or more target

Cohesity clusters on multiple sites. The ability to replicate backups from primary Cohesity cluster to multiple secondary

Cohesity clusters across various geographical sites, helps facilitate disaster recovery needs. The technology supports (i)

One-to-one model - A single production cluster can back up to a disaster recovery site (ii) One-to-many model - A single

production cluster can backup to multiple disaster recovery sites (iii) Many-to-one model - Multiple Cohesity clusters

can back up to a remote cluster (iv) Many-to-many model - Multiple Cohesity clusters can backup to multiple remote

clusters across several sites. This technology works in conjunction with global data deduplication to greatly reduce storage

requirements across several sites and as such the network bandwidth required for replication of data for DR purposes.

Figure 7: Cohesity SnapTree technology helps create large number of snapshots without

incurring the penalty of traversing the entire snapshot chain seen in traditional snapshot

architecture

Dataﬁle reconstruction using Conventional Snapshot images

Dataﬁle reconstruction using Cohesity SnapTree images

Unbounded

accumulated

traverses (n) to

reconstruct

A, B, Cn

Always ﬁxed traverses

(2 in this example) to

reconstruct

A, B, Cn

Time

C1 C2 C3 Cn

Cohesity CloudTier, CloudArchive, and CloudReplicate: Cohesity DataPlatform integrates natively with all the leading public

cloud providers. Cohesity can tier data to the cloud to extend storage capacity of the cluster for colder data. Cohesity can

also use the cloud as a replication destination for disaster recovery. And ﬁnally, Cohesity can archive data in the cloud for

long-term retention.

Cohesity encryption engine: Cohesity DataPlatform also provides encryption of data at rest and in transit over the network

with AES 256-bit encryption to secure data. Encryption in ﬂight is applicable to data that is replicated to a remote Cohesity

cluster or when data is tiered/archived to the cloud from the Cohesity platform. This ensures that data stored on the

Cohesity cluster is protected well from malicious attacks.

Role-based access control: Administration of the cluster can be achieved through roles assigned within the cluster or can

be integrated with Windows Active Directory domains. Default roles exist that provide access for dierent Cohesity cluster

users including Admin, Operator, Viewer, Self Service and Data Security. Each role provides access to cluster workﬂows

such as read-only views and data restore or self service administrators that are only allowed to access speciﬁc objects like

VMs or physical hosts.

Custom roles can also be created and assigned to users and groups such as cluster Access, Clone, Data Protection,

Recovery , Storage and Analytics management.

Figure 8: View of Cohesity User Interface and Data Protection

10.

Cohesity Performance Advantages

Fast backups with highly granular RPOs and instantaneous RTOs

With the unique scale-out architecture, hyperconverged nodes, and SnapTree technology, Cohesity provides signiﬁcant

performance advantages compared to traditional backup and recovery solutions.

Fast backups with parallel ingest: Traditional target storage consists of stand-alone dedupe appliances. These appliances

have only one active controller assigned to data ingest. With the Cohesity scale-out architecture, backup jobs and backup

tasks can be parallelized across the multiple scale-out nodes of the Cohesity cluster, signiﬁcantly increasing the ingest

throughput.

Workload-optimized ingest: The Ingest Engine ensures that data is optimally placed onto the SSD or spinning disk tier

that best suits the proﬁle of the incoming data stream. This is called the Tier-Optimized Write Scheme (TOWS) wherein

spinning disks that prefer sequential I/O write data out-of-place; while SSDs are used for random I/O such that the writes

are in-place and committed straight away. This engine provides the basis to interoperate with VMware VADP, physical

servers and application connectors; to provide end-to-end data protection for customer environments. In order to ensure

that performance of the primary datastore is impacted minimally, the Ingest Engine oers Adaptive data throttling that

modulates the backup ingest performance over the production workloads at the vCenter or Datastore level.

Incrementals forever with 15-minute RPOs: Cohesity provides the SnapTree technology for zero-cost, unlimited snapshots

and clones. Cohesity maps each incremental backup to an incremental snapshot. This enables highly granular, unlimited

snapshots with RPOs as short as 15 minutes, with no negative performance impact and high storage eciency.

All incrementals available instantly: Each snapshot in SnapTree is instantly available as a fully hydrated copy. With

SnapTree, each incremental backup becomes instantly available as a full image, eliminating the need to perform periodic

full backups.

Traditional Secondary Storage Architecture

Traditional dedupe appliance

Single controller choke point

Target Storage

Cohesity

Parallelized backup jobs / tasks

DataPlatform

Backup Jobs

Target Storage

Backup Jobs

Figure 9: Parallel ingest on Cohesity DataPlatform

11.

Instant restore: Cohesity enables instant VM restore to any point-in-time copy. Upon restore, Cohesity creates an

instantaneous clone of the snapshot. The Virtual Machine can be launched directly from the clone, with storage running

directly from the Cohesity cluster. This eliminates the need to move data from secondary to primary prior to initiating a

restore. If needed, after restore the data can be moved to primary using Storage vMotion.

Cohesity is powering customers into a new era of

data protection

Cohesity DataPlatform is helping customers usher in new technology to achieve their data protection business objectives.

Customers such as Tribune Media and GS1 had disparate data management, protection, and storage solutions that resulted

in integration challenges and management complexity. With Cohesity, they have been able to shrink their RTO and RPO

windows by over 90% and have greatly reduced the time spent on managing the infrastructure. In conclusion, organizations

can use the integrated data protection capabilities of Cohesity DataPlatform for physical and virtual environments to

consolidate disparate hardware and software elements. It is also possible to leverage the highly ecient, web-scale storage

capabilities of Cohesity in conjunction with third-party data protection software. The move to Cohesity DataPlatform can

provide a robust data protection strategy that delivers improvement in backup/recovery speed and better economics than

incumbent solutions.

For more information about Cohesity, please visit www.cohesity.com

Cohesity, Inc.

Address 451 El Camino Real, Santa Clara, CA 95050

Email contact@cohesity.com www.cohesity.com

@cohesity