track 2, session 3, business continuity and disaster recovery in the virtualized world sreenandan
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Cloud Meets Big Data1
17-18 November 2011. Grand Hyatt - Mumbai
Business continuity and Disaster
recovery in the Virtualized world
Business continuity and Disaster
recovery in the Virtualized world
Cloud Meets Big Data2
17-18 November 2011. Grand Hyatt - Mumbai
2011 CIO Top Technology Priorities
Source: Top 10 Technology Priorities for 2011, Gartner
Cloud Meets Big Data3
17-18 November 2011. Grand Hyatt - Mumbai
Disaster Recovery: Top Virtualization Priority
Cloud Meets Big Data4
17-18 November 2011. Grand Hyatt - Mumbai
EMC Advanced Replication Technologies
Storage Replication
Adapter
RecoverPointNetwork-based, Heterogeneous Host and array
• continuous data protection (CDP)
• continuous remote replication (CRR)
• concurrent local and remote (CLR) data protection
VNX Replicator
IP replication with Quality of Service to optimize LAN/WAN bandwidth utilization
VNX MirrorView
Sync/Async replication for flexible recovery-point and recovery-time objective requirements
SRDF Family
The ultimate business continuity and disaster recovery solution for the broadest range of use cases
Cloud Meets Big Data5
17-18 November 2011. Grand Hyatt - Mumbai
Clicker Question 1
Most DR solutions today provide peer to peer replication between primary and DR sites. One of the challenges here is that logical corruptions at Primary also get replicated to DR and render the DR copy unusable. Would it be useful if there is a DR solution which works across heterogeneous platforms and provides DVR style roll back.• Yes• No
Cloud Meets Big Data6
17-18 November 2011. Grand Hyatt - Mumbai
A Case Study…
CUSTOMER PROFILEBanking and Financial Services
Cloud Meets Big Data7
17-18 November 2011. Grand Hyatt - Mumbai
Customer – Challenges in Virtualized Environment
– Multi-vendor environment with growing Virtual infrastructure
– Management pain - Three different disaster recovery
solutions adding to the complexity of management - Lack of single integrated management - Lack of integration with Vmware Infrastructure and
No VM level protection– Increasing client data and aggressive RPO
requirements– No flexibility of different RPO/RTO based
on application SLAs– Unable to meet defined recovery
requirements due to complexity and Low bandwidth between Primary and DR site
CUSTOMER PROFILEBanking and Financial Services
Cloud Meets Big Data8
17-18 November 2011. Grand Hyatt - Mumbai
How do I protect both?
How do I recover both?
How can I afford both?
What if you
had
one way to protect everything you have…better
Virtualization Raises Important Questions
Virtual
Transition toPrivate Cloud
Physical
Cloud Meets Big Data9
17-18 November 2011. Grand Hyatt - Mumbai
Clicker Question 2
How many of you have a single solution which provides Local Recovery as well as Remote Protection capabilities with a single pane of management?
• Yes, I have a single solution• No, I have different solutions for local protection
and remote protection
Cloud Meets Big Data10
17-18 November 2011. Grand Hyatt - Mumbai
Array
Resides on storage frame
Environment
Resides on server
Host
Homogenous storage only No server performance impact Performance depends on array type
Attributes
Small environments. Limited functionality and O/SNo-cross host consistencyHost performance impact
DR options and EMC Approach
Resides in storage network, typically on appliances
High performance and scalabilitySupports heterogeneous host/arrays No host or array performance impact RecoverPoint
Network
RecoverPoint
Cloud Meets Big Data11
17-18 November 2011. Grand Hyatt - Mumbai
Nightly Backup: Recovery once every 24 hours
RECOVERY GAP
Scheduled Snapshots: Recovery once every 3 hoursRECOVERY
GAPRECOVERY
GAPRECOVERY
GAP
RecoverPoint: Instant recovery to any point in time
Check-point
Patch Post-Patch
Cache Flush
QtrlyClose
HotBackup
Check-point
Pre-Patch
UNLIMITED RECOVERY POINTS, APPLICATION BOOKMARKS
Time
Synchronous mirroring between local arrays: Recover image, but susceptible to logical
corruption
EMC Approach - Any Point-in-Time Recovery
Traditional recovery methods• Nightly backups, snapshots,
mirrored images plagued by time gaps, corruption
RecoverPoint recovery method• Recovery to any point in time– Mount image to any host in SAN– Full read/write access to image
without protection loss
• Use recovered image for a variety of purposes
– Operational recovery– Backup, testing, or decision support– Reporting
Cloud Meets Big Data12
17-18 November 2011. Grand Hyatt - Mumbai
Recoverpoint Local and Remote Protection
SAN
DISASTER RECOVERY SITEPRODUCTION SITE
Prod
LUNs
FC/WAN
Local copy
Application servers
SAN
RecoverPointappliance
RecoverPoint bi-directional replication/recovery
Remote copy
Standby servers
RecoverPointappliance
Local journals
Remote
journal
Storagearrays
Storagearrays
Local protection for operational recovery
Journal based architecture, any point in time
Replicate between heterogeneous storage
VMware vCenter API integration
Remote replication for disaster recovery
Dynamic sync and async replication
Bandwidth reduction with de-dupe and compression
VMware SRM failover/failback automation
Cloud Meets Big Data13
17-18 November 2011. Grand Hyatt - Mumbai
RecoverPoint for VMware
Virtual machine replication at its best• Scale to thousands
of virtual machines (VMs)
• Sync or async replication of any mix of physical and virtual machines
• Restore individual or multiple VMs
• Automated VM failover and failback support
• Monitor and alert on VM protection status
vCenter Site Recovery Manager
Servers
Heterogeneous Storage
Production
VMware Infrastructure
SRASRMvCenter
Virtual Machines
Servers
Heterogeneous Storage
Disaster Recovery
VMware Infrastructure
SRA SRM vCenter
Virtual Machines
Replicated Data
Cloud Meets Big Data14
17-18 November 2011. Grand Hyatt - Mumbai
Overview on Data Consistency
• Applications and data are interrelated (federated)
• All data movement must be stopped/ started at the same point in time
• To restart applications, you must have all the data—not parts of it
• Recovery requires dependent-write consistency across all volumes and systemsSystems share information…
RecoverPoint captures a consistent view
Order Entry
SCM
CRM
DB DB
DB
Cloud Meets Big Data15
17-18 November 2011. Grand Hyatt - Mumbai
Recoverpoint Consistency Groups (CG)
• Ensures consistency across production and targets
• Application recovery can be independent of SLAs
• Enables independent replication of various applications
• Utilizes consistency groups to organize data
CG 3
CG 1
CG 2
E-mail CRR
CRRCDPSCM
CRROE
CRRCRM CDP
Cloud Meets Big Data16
17-18 November 2011. Grand Hyatt - Mumbai
EMC Replication ManagerAutomate application recovery
• Single console– Point-and-click replica
management – Easy-to-use wizard
interface requires no scripting
• Automated – VM consistent replicas– Application-consistent
replicas for backup and testing
– Application and storage discovery
ExchangeSharePoin
tSQL
ServerDB2 UDB
Oracle Database
SAP
EMC SnapSure
EMC Replicator
EMC TimeFinder
family
EMC RecoverPoint
family
EMCSnapView
Virtual InfrastructureEMC Replication Manager
Application Intelligence and Automation
EMC Unified Storage EMC Symmetrix Family
Cloud Meets Big Data17
17-18 November 2011. Grand Hyatt - Mumbai
Perform VM Recovery DR drills With Recoverpoint performing DR drills is a matter of point and click
Cloud Meets Big Data18
17-18 November 2011. Grand Hyatt - Mumbai
Customer Key Benefits with EMC Solution• Single solution to protect virtualized applications
• Improved Service level Management
• Exceed defined recovery objectives
• Dynamic QoS policies
• Variable SLAs and RPOs
• Automated replica management
Cloud Meets Big Data19
17-18 November 2011. Grand Hyatt - Mumbai
EMC Solution Additional Benefits Total Cost of Ownership Savings
Cloud Meets Big Data20
17-18 November 2011. Grand Hyatt - Mumbai
RECOVERY TECHNOLOGY
RecoverPoint
Application Hours/Days
RETURN TO OPERATIONS
RecoverPoint instant recovery brings data online faster so that business applications resume sooner
Rapid Restore = Time SavingsCustomer was able to Get back to business faster
Notes:
Time required to restore latest point in time from snapshot
Time required to return to operation (roll logs, restart applications, log in clients)
Time required to re-create missing data between RPO points
Array snaps/clones
Seconds/Minutes
Minutes/Hours
TIME
Cloud Meets Big Data21
17-18 November 2011. Grand Hyatt - Mumbai
Recoverpoint Journal = Space SavingsCustomer was able to save additional space compared to other technologies
RecoverPoint
Host-based application
Array snaps/clones
SPACE CONSUMED
RECOVERY TECHNOLOGY
100 Blocks
28 Blocks
59 Blocks
2–3.6x
1.7x
Cloud Meets Big Data22
17-18 November 2011. Grand Hyatt - Mumbai
20 Mb/s
50 Mb/s
10 Mb/s
REQUIREDBANDWIDTH
OC1
Fractional T3
DS3
2x
3x
Array replication(2:1 compression)
Application/Host Replication(2.5:1 compression)
RecoverPoint Replication(>3:1 dedupe with compression)*
Replicated data
0
15
1
22
3
13
9
24
0
15
1
22
3
13
9
24
0
15
1
22
3
139
24
0
15
1
22
3
139
24
Bandwidth Reduction = Cost SavingsCustomer could save significantly on Bandwidth
Cloud Meets Big Data23
17-18 November 2011. Grand Hyatt - Mumbai
Site BSite A
Go from:Go from: To:To:
With EMC RecoverPoint The Customer Could…
Physical Virtual PhysicalVirtual …One solution to protect any host, any application, on any array
EMC to EMC
EMC to third party
Third party to third party
Use different tools for every platform, physical and virtual...
HDS IBMEMC EMCRecoverPoint“Work with what you have!”
UP TO 1 HOURFROM A COPY
UP TO 24 HOURSFROM A BACKUP
Costs limit what they can afford to protect...
…Protect everything needed, not just what they could afford!
5-10x bandwidth reduction
Journal compression
Snapshot consolidation
Snaps only Snaps &
tape
Tapeonly
Protected Protecte
d
Protected
“Protect more with less costs!”
…Recover to any point and get their business back online faster
Continuous data protection
Application consistent bookmarks
Let their best recovery be defined by their last backup or copy...
UNLIMITED RESTORE POINTSNO GAPS
“Match recovery to requirements!”
Cloud Meets Big Data24
17-18 November 2011. Grand Hyatt - Mumbai
Integration with other Virtualization Technologies
Cloud Meets Big Data25
17-18 November 2011. Grand Hyatt - Mumbai
EMC Business Continuity for Microsoft Hyper-V
• Ensure availability of Microsoft Hyper-V servers• Automates failover of virtual machines
- Eliminates errors associated with manual processes
• Ensure employee productivity
- End-users experience no interruption of application or data availability
Cloud Meets Big Data26
17-18 November 2011. Grand Hyatt - Mumbai
EMC Leads the Industry in Business Continuity and Disaster Recovery
• Proven solutions for physical, virtual, and private cloud
• Any host, any application, any array
• Best practices for deploying replication—into application environments
Cloud Meets Big Data27
17-18 November 2011. Grand Hyatt - Mumbai
Lets Change the way we protect with…
• Heterogeneous Virtual and physical infrastructure protection
• Single Data Protection and DR Solution
• Application Consistent DR• Continuous Data Protection and
any point-in-time recovery• Bandwidth reduction• Dynamic Sync/Async Replication
Cloud Meets Big Data28
17-18 November 2011. Grand Hyatt - Mumbai
THANK YOU