DiscoverBest of Show 2016

2. - 3. März 2016, Düsseldorf

Backup- und Storageoptimierung mit Data Protector und Storage Optimizer

Claus NöskePresales Information Management & Governance

2. - 3. März 2016

Challenge accepted

Today‘s unstructured data challenges

How do I reduce cost associated with IT and information processes?

• Information footprint is growing exponentially along with costs to manage it

• Manual processes reduce staff efficiency and are error prone

• Storage is not optimized, data is not always stored according to value

How do I secure valuable business data and reduce risk?

• Dark data exists and is not being managed, retained or disposed appropriately

• Business critical and valuable data is not managed or secured according to its value ans sensitivity

• Classification and application of policy to data is piecemeal and often not enterprise wide

Managing storage is expensiveThe overall cost of storage is $25,000/TB

$128.000$640.000

$1.280.000

$2.560.000

$6.400.000

$12.800.000

$25.600.000

5 TB 25 TB 50 TB 100 TB 250 TB 500 TB 1000 TB

68% Operations

1%Policy Management

12%Backup

reduction

4%Regulatory

Compliance

14%Capex

Source: Enterprise Strategy Group, 2014

Why change now?

source: IDC, 2013

30% of typical IT budget is spent on data storage

60% of all enterprise space is

taken by copies

85% of storage spend is for

managing copies

8x morespent on copies as on storage

for data and analytics

We want to

OPTIMIZE storage

and help drive value

VALUE from data

Addressing issues with the Band-Aid approachFighting conventional wisdom: common symptoms and common responses

We are running out of capacity Let‘s add more disks

Upgrade infrastructur

Backup takes longer and longer Change backup infrastructure

We need to retain information

for a period of time

Keep backup tapes, keep

everything forever

Look into different resources,

recover tapesWe need to retrieve historical information

Applications are slowing down

costs€

Komplexität

Introducing HP Storage Optimizer

Policy-based storage tiering and information

optimization File analytics

An analytics-driven ‘All-HP’ storage optimization solution

that applies policy to unstructured information data, stub it, and then make it

seamless for an end user to retrieve this information as needed

Cost Containment

without Constraint

Manage unstructered dataHPE Storage Optimizer

10

HPE Storage OptimizerNo longer is storage optimization “blind.”

• Tiered Storage with stubbed documents to minimize change to business processes

• Apply complex policies to optimize storage consumption

• Manage data across different repositories and different storage tiers

• Review, approve and audit all manually and automatically applied actions

• Utilize fully integrated role based security in all processes

• Address compliance and legal concerns by converting to HPE Control Point

Remove

Retain

Optimize

Migrate

HPE Storage

Optimizer

Address multiple use cases of file analytics,

data cleanup and backup optimization, ...

HPE StorageOptimizerStorage optimization is no longer “blind.”

HPE StorageOptimizer:Filter by aged data, users and groups and decide upon corporate standards for deletion or migration

HPE Storage

Optimizer

Connect

Identify

Copy

Migrat

.. many more

Filesystems

Reduce

.. many more

Filesystems

Sources Targets

Policy based migrationReduce cost, manage risk and migrate with insight

ROT (Redundant, Obsolete, Trivia)

Lower cost

storage tier

HPE File Analysis Software

Valuable Data

Sensitive

Data

Collaborative Public

… and many more

Business value defines locality

Use Cases

14

HP Storage Optimizer use cases

Objective Results

Improve Infrastructure

Management

• Optimize storage with high levels of transparency and intelligence

• Get more life out of infrastructure without additional CapEx

Lower total IT spend • Materially lower cost on primary storage and backup-related storage

• More effectively tier storage for added cost savings

Enhance backup and

recovery

• Identify redundant, obsolete, and trivial data that is not required for

backup

• Speed-up backup up to 50% without impacting results by archiving

and stubbing files based on policies

Meet internal objectives • Increase application performance and uptime

• No noticeable impact to end users

Support information

governance initiatives

• Dispose of information that is no longer valuable or required

• Bridge gap between legal and IT

Improve infrastructure management

Business need:

– No visibility into the massive existing volumes of data

Advantages:

– No longer is storage optimization “blind.”

– Combines power of file analytics and prioritized backup in one cost-effective solution.

Business benefits:

– Optimize storage with high levels of transparency and intelligence

– Get more value out of infrastructure without additional Capex

Lower total IT spend

Business need:

– Reduce the total amount of storage needed for unstructured data

Advantages:

– Identify redundant, obsolete, and trivial data

– Move and delete selected data

– De-duplicate data across different repositories and different storage tiers

Business benefits:

– Lower the cost of primary storage and backup-related storage

– Make more effective and intelligent use of tiered storage for added cost savings.

Enhance backup and recovery

Business need:

– Backup more data in less time while reducing the cost of storage

Advantages:

– Reduce backup times by up to 50%

– Increase application performance

– No impact on end users

Business benefits:

– Speed-up backup without impacting results by archiving and stubbing files based on policies

– Identify redundant, obsolete, and trivial data that is not required for backup

Meet internal objectives

Business need:

– Meet recovery point and time objectives (RPO/RTO)

Traditional shortcomings:

– Impaired availability and performance of data center environments

– Internal demand for better and faster services

– Backup takes way to long due to volume of data

Business benefits:

– Increase application performance and uptime

– No noticeable impact to end users

– Lower backup times without impacting results

Support information governance initiatives

Business need:

– Getting more from existing infrastructure while laying future foundation in order to meet regulatory mandates

Traditional shortcomings:

– Limited or no visibility into actual usage of existing infrastructure

– No operating standards in place to optimize provisioning, backup, replication, and archiving

– No visibility into what type of data is being stored now

Business impact:

– Dispose of information that is no longer valuable or requires

– Bridge gap between legal and IT

Architecture

What differentiates us?Advanced policy definition – more than HSM or simple delete

What do I have?

Where does it live?

What should I do with it?

Is it active or inactive?

How does it relate to other information &

process

What policy applies to it?

Manage-in-place or Migrate?

Retain or Dispose?

What is its value to the business?

Simple file analysis Advanced file analysisWe can base policies on ANY of

the metadata used or created:

• Access dates

• Path ACLs (security groups)

• Titles

• Dates

• Manual tags

• Application tags

ANY metadata

• App Server / Console• Configuration / Administration• Scheduler• Policy Management• Monitoring and Auditing

File analysis platform (Windows OS)

File Archiving and Retirement Platform

Sources

– Windows NTFS

– CIFS/NFS Dateisystem

– Hadoop

– Exchange

– Sharepoint

– …

Targets

– Filesystems through CIFS/NFS connector

– Hadoop

– Sharepoint

– Exchange

– ...

Purge Archive Recall*

Metadata Index

Connector Framework

*Note: Connector functionality related to source

HPE Control Point

HPE Storage Optimizer

MS SQL

ContentIndex

Connectors & Analyse

– Exchange

– SharePoint

– Filesystem

– Hadoop

– Lotus Notes

– StoreAll

26

OpenStack API

File analytics to properly archive, protect & deleteHP Storage Optimizer

– Connectivity to large number of sources

– Scalability to 100+ TB

– Analyse and manage with actionnable actions

– Security by role, reviewprocess, audit

FileSystem

Hadoop

SharePoint

HPE RM

Exchange

…

MoveDeleteFilter SliceMetadata

Redundant, Obsolete,

Trivial

Stub

Redundant Obsolete Trivial

ROT

– Redundant

– File exists more then once in the analyzed repository

– Obsolete

– File was last accessed or modified five years ago

– Trivial

– File is an image, audio, video or system file

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Analysis example: How much aged-data is present

Analysis example: Assuming a user left the department or company… easy to combine and understand how much aged data is available for a specific user?

Seamless Archiving and Stubbing of Filesystem Documents

Multiple archiving locations provide flexibility for automatic Disaster Recovery and High Availability

In depth analysis capability to determine which data to archive

HPE Storage Optimizer

+

HPE Data Protector

35

HPE Data Protector + HPE Storage Optimizer

– ROT Analyse

– Delete Files

– Move Files

– Stub Files

36

Reduce total amount of storage

Backup more data in less time

HPE Storage Optimizer launchable from DP GUI

The Storage Optimizer ServerName needs to be specifiedin the Global Options file.

HPE Storage Optimizer canbe launched from: Backup-> Actions -> Storage Optimizer

Backup less

– Backup files (follow stub)

– Backup nothing

39

Summary

40

SO and Empowering the Data Driven OrganizationA Gateway Application

–Storage Optimizer offers:

• Easy metadata based analysis (Create date, location title, last modified)

• Familiar application platform – IIS, SQL

• Light footprint (Compared to ControlPoint and IDOL)

– Offers rapid TTV for ROT data ID and cleanup

– Storage Optimizer is expandable

• Upgrade to ControlPoint

– Add IDOL for document conceptual analysis

• Add additional governance/analytics applications

– Records Manager

– HAVEN – Find that disruptive data

Transformto a hybrid

infrastructure

Enableworkplace

productivity

Protectyour digitalenterprise

Empowerthe data-drivenorganization

Challenge accomplished

Thank youclaus.noeske@hpe.com