Data Protection Modernization: Meeting the Challenges of a … · 2017 Storage Developer...

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Data Protection Modernization: Meeting the Challenges of a Changing IT Landscape Tom Clark IBM Distinguished Engineer, Chief Architect Storage Software

Transcript of Data Protection Modernization: Meeting the Challenges of a … · 2017 Storage Developer...

Page 1: Data Protection Modernization: Meeting the Challenges of a … · 2017 Storage Developer Conference. © IBM. All Rights Reserved. 1 Data Protection Modernization: Meeting the Challenges

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Data Protection Modernization: Meeting the Challenges of a Changing IT Landscape

Tom ClarkIBM Distinguished Engineer, Chief Architect Storage Software

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Sensors & Devices

VoIP

Enterprise Data

Social Mediawe are

here

Growth of data from different sources

SOURCE: *2014 IBM Institute for Business Value Study on Infrastructure Matters; Gartner IT Metrics

Data growth is continuing to explode

2.5 Billiongigabytes of data per

day

90%of data created in

last two years

Data Explosion

6.75 TBs of data will be created per person per day by

2018

IoT will connect 30 billion devices

by 2020

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Storage trendsContinued dramatic growth in data driven by mobile, analytics, IoT, hybrid cloud, cognitive business and big data

Sources: ESG, IDC

“IDC predicts that over 80% of enterprise IT organizations will commit to hybrid cloud architectures by 2017.”

Transition of data types with new workloads, new applications

New storage deployment models powered by software

70% of clients deploying object storage or plan to within 24 months

By 2018, storage-rich servers are expected to account for

50%of new capacity purchases

60% of clients committed to SDS

23% interested

Transition to cloud models

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New generation application workloadsTraditional application workloads

Scale out infrastructure to support new workloads requires new approaches to management

Traditional workloads require further optimization, leveraging features in applications, hypervisors and storage

Traditional and New Generation Applications

Optimize here Extend here

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Traditional Data Protection Approach

Traditional Applications

• Deduplication/compression• Tiered storage• DR copy• Long term retention

Integration with APIs and CLIs

Incremental forever orPeriodic full + incremental copy

Client or Proxy Data Mover

Purpose• Recover from storage failure• Disaster recovery• Recover from application or

operator error• Recover from malware• Archive or regulatory copy

Integration with backup server

Hypervisors

Storage Systems

Disk/VTL

Tape

Object StorageBackup

Server

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Traditional Data Protection ChallengesBackup/restore are times too long for critical applications

Disk/VTL

Tape

Object StorageBackup

Server

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Traditional Data Protection ChallengesScale out applications don’t map well to traditional backup

infrastructures

Disk/VTL

Tape

Object StorageBackup

Server

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Traditional Data Protection ChallengesData protection for apps moving to cloud and cloud apps

On Premises

Cloud

IaaS, PaaS, SaaS

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Traditional Data Protection Challenges

It’s hard to reuse backup data for other purposes

Disk/VTL

Tape

Object StorageBackup

Server

Analytics

Dev-Ops

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Traditional Data Protection Challenges

“Forgetabout me”

Disk/VTL

Tape

Object StorageBackup

Server

Compliance with increasing regulations

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Traditional Data Protection Challenges

Air Gap?: Periodic Connectivity Replication

Disk/VTL

Tape

Object StorageBackup

Server

Backup

Avoiding and recovering from ransomware

Air Gap?: Periodic Connectivity Replication

Air Gap?

Air Gap

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Evolution of Data Protection:Storage Snapshot Backup

Snapshot Orchestration

Optional Periodic Backup

Advantages:• Fast backup, fast recoveryChallenges:• End to end orchestration• Complexity• The old way works (or used to)

Disk/VTL

Tape

Object StorageBackup

Server

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Evolution of Data Protection:Self-Protecting Storage

Snapshot or Differential Backup

Direct Copy to Storage

Advantages:• Fast backup, fast recoveryChallenges:• End to end orchestration, reporting• Data movement for large backups

Disk/VTL

Tape

Object Storage

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Evolution of Data Protection:Scale-out Application BackupSelf-protecting Applications, Self-service

Application Snapshot and

Replication

Scale-out Storage Snapshot and

Replication

Advantages:• Operates at scaleChallenges:• End to end management, reporting• Lack of capability in current applications• App developer expertise

Object Storage

Copy to Object

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Evolution of Data Protection:Data Protection in Clouds

On Premises

Cloud

IaaS, PaaS, SaaS

Disk

Object StorageBackup

Server

Traditional Backup Snapshot or

Application-driven

Advantages:• Similar operations to on premisesChallenges:• Centralized hybrid management• Lack of capability or APIs in cloud *aaS

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Evolution of Data Protection:Data Reuse

Snapshot or Differential Replication

Advantages:• Leverage collected data• Immediate data availabilityChallenges:• End to end orchestration• Performance of mounted data

Disk/VTL

Tape

Object StorageBackup

Server

Direct Mount

DevOps and Analytics

Backup

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What We Need in Data Protection

Traditional Apps

Hypervisors

Storage Systems

Disk/VTL

Tape

Object Storage

Backup Server

Scale-out Apps

App Instance

Storage Systems

Data Mover

Application or Storage Replication

Data Sources Data Sinks

Data Functions

Key Capabilities• Software-defined solutions• Simplicity• Orchestration• Central catalog• Central reporting• Self-service• Complete data functions

IaaS, PaaS, SaaS

Integration

Mount/Re-use

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Thank You!