Slides from the on-demand webcast (showcasing customer Bigelow Lab.) Learn how NetApp clustered Data ONTAP enables nondisruptive operations and eliminates IT downtime with a scalable, unified clustered infrastructure for business-critical applications such as Oracle database, SAP, and Microsoft® applications.

1. Maintain 24x7 Availability for
Your Enterprise Applications
Clustered Data
ONTAP 8.2
Webcast
1

2. Speakers
Host Guest Speakers
Mike McNamara
NetApp
Nathan Paquin
Bigelow Lab
Raymond Austin
NetApp
2

3. Agenda
 Storage Pain Points
 Nondisruptive Operations Overview
 Clustered Data ONTAP 8.2
and Nondisruptive Operations
 Use Cases: Enterprise Applications
 Success Story
 Additional Resources
3

4. Storage Pain Points
4
Source: 451 Research, 2012

5. Causes of Downtime
40%
40%
20%
Unplanned Outages
Operations
Errors
Application
Failure
HW, OS,
Security,
Power
Disasters
73%2%
5%
5% 15%
Planned Outages
Application &
Database
Physical Plant
Backup &
Recovery
Batch
Processing
HW, Network,
OS, SW
5
Source: Gartner 10/2011

6. Clustered Data ONTAP Benefits
6
 Perform lifecycle
operations without
interrupting business
operations
 Start small and grow big
in both SAN and NAS
environments
 Simplify, automate, and
increase productivity
while lowering IT costs
Nondisruptive
Operations
Seamless
Scalability
Proven
Efficiency

7. Nondisruptive Operations Overview
7
Infrastructure
Resiliency
Maintenance
Operations
Lifecycle
Operations
MeasureofNDO
100%
0%
Planned
Event
Unplanned
Event
Resiliency during
hardware and
software failure
Software upgrade,
hardware replacement
and upgrade
Capacity and
performance
management

8. Nondisruptive Operations
Product Overview
 Upgrade or repair
hardware while serving
data
 Move flexible volumes
and local interfaces
(LIFs) off the node to be
serviced
 Add new nodes and
shelves
 Move flexible volumes
and LIFs to the vacant
node
8
HA interconnects and disk shelf
connections omitted for clarity
LIF

9. Nondisruptive Operations
Product Overview
 Upgrade or repair
hardware while serving
data
 Move flexible volumes
and local interfaces
(LIFs) off the node to be
serviced
 Add new nodes and
shelves
 Move flexible volumes
and LIFs to the vacant
node
9
HA interconnects and disk shelf
connections omitted for clarity
LIF

10. Nondisruptive Operations
Product Overview
 Upgrade or repair
hardware while serving
data
 Move flexible volumes
and local interfaces
(LIFs) off the node to be
serviced
 Add new nodes and
shelves
 Move flexible volumes
and LIFs to the vacant
node
10
HA interconnects and disk shelf
connections omitted for clarity
LIF

11. Nondisruptive Operations
Product Overview
 Upgrade or repair
hardware while serving
data
 Move flexible volumes
and local interfaces
(LIFs) off the node to be
serviced
 Add new nodes and
shelves
 Move flexible volumes
and LIFs to the vacant
node
11
HA interconnects and disk shelf
connections omitted for clarity
LIF

12. Nondisruptive Operations
Product Overview
 Upgrade or repair
hardware while serving
data
 Move flexible volumes
and local interfaces
(LIFs) off the node to be
serviced
 Add new nodes and
shelves
 Move flexible volumes
and LIFs to the vacant
node
12
HA interconnects and disk shelf
connections omitted for clarity
LIF

13. Upgrading Controllers Nondisruptively
 Online upgrade of an
HA controller pair
without copying data
– Taking seconds vs.
days/weeks
 Continuous data access
when upgrading
controllers
13
LIFLIF
Cluster network omitted for
clarity
LUN
HA

14. Upgrading Controllers Nondisruptively
 Online upgrade of an
HA controller pair
without copying data
– Taking seconds vs.
days/weeks
 Continuous data access
when upgrading
controllers
14
LIFLIF
Cluster network omitted for
clarity
LUN
HA

15. Efficient Backup and Restore
with SnapVault
 Incremental, space-efficient backups
– Deduplication and compression preserved
– Physical storage usage and network utilization is reduced
 Reliable restore
 Simplified management
15
Backup
Data
SnapVault®
Primary
Data
WAN
Snapshot™ archive
SATA

16. Hyper-V
Continuous Availability for Microsoft
Environments
16
SQL A SQL B
Data Network
(SAN/CIFS/SMB 3.0)
 Nondisruptive to client applications during
a storage failover event
 Persistent open sessions during a
planned or unplanned failover
 Unique with Windows Server® 2012
Hyper-V™ and SMB 3.0
 Use cases
– SW upgrades
– Controller HW upgrades
– Hardware or software failure
– Maintenance

17. Lifecycle Operations for Enterprise
Applications
 Load balance multiple Oracle® DB
workloads without downtime
– Consolidate, scale, and increase
operational efficiencies
Manage for Peak Workloads Rather than Provisioning for Them
17
Oracle
Clustered Data ONTAP®
MSSAP®
Hypervisor

18. Lifecycle Operations for Enterprise
Applications
 Load balance multiple Oracle® DB
workloads without downtime
– Use management tools to determine
hot spots and “peak” I/O activity
Manage for Peak Workloads Rather than Provisioning for Them
18
Oracle
Clustered Data ONTAP®
MSSAP®
Hypervisor

19. Lifecycle Operations for Enterprise
Applications
 Load balance multiple Oracle® DB
workloads without downtime
– Volumes are nondisruptively moved
to higher performance storage
Manage for Peak Workloads Rather than Provisioning for Them
19
Oracle
Clustered Data ONTAP®
MSSAP®
Hypervisor

20. Lifecycle Operations for Enterprise
Applications
 Load balance multiple Oracle® DB
workloads without downtime
– Optimize to tiered storage and
efficiencies
Manage for Peak Workloads Rather than Provisioning for Them
20
Oracle
Clustered Data ONTAP®
MSSAP®
Hypervisor
SnapVault®
WAN

21. Lifecycle Operations for Enterprise
Applications
 Load balance multiple Oracle® DB
workloads without downtime
 Transparent, nondisruptive SAP®
landscape migration
 Seamless data migration across MS
application environments
 Secure isolation between tenants
and integrated data protection to
reduce risk
Manage for Peak Workloads Rather than Provisioning for Them
21
Oracle
Clustered Data ONTAP®
MSSAP
Hypervisor
SnapVault®
WAN

22. How Nondisruptive Operations Compare
Use Cases
Clustered
Data ONTAP
Alternative
Lifecycle
Operations
Capacity and
performance
rebalancing
Tech refresh and
expansion
Maintenance
Operations
Software and FW
upgrades
Break/fix maint ops
Infrastructure
Resiliency
Eliminate unplanned
downtime
22
Some
Most

23. Bigelow Laboratory for Ocean Sciences
 Founded in 1974
 Headquartered in East Boothbay, Maine, USA
 Independent, non-profit organization focused on research of microbial
processes affecting the productivity of the world's oceans, coastal seas,
and estuaries
 Mission is to advance society's understanding of the interactions
between marine ecosystems, global climate, and the environment
"Nothing in the sea falls haphazard; if we cannot predict, it is because we
do not know the cause, or how the cause works...” - H.B. Bigelow, 1929
23
Exploring the World’s Oceans – from Microbes to Global Ecosystems

24. Bigelow Lab Challenges
 Fragmented storage across multiple lab
environments
 Issues with management, backup, and
performance
 Dynamically growing number of labs
 Scalable upgrades with non-downtime
24

25. Bigelow Lab Solution
 Scale up capacity or
scale out capacity as
needed non-disruptively
 Proven NetApp
technology and a robust
platform
 Flexibility in both
protocols and storage
tiers
 No planned downtime
for HPC & business
apps including SQL
Server databases
25
FAS 3250 Cluster
Primary
Storage
SQL Server
De-Dupe
Thin
Provisioning
Amazon
BU&R/Archive
14+ Labs
HPC Data
Data Network
OpenStack
Financial System
iSCSIpNFS
…

26. Business Benefits Summary
 Rock solid stability
 No planned downtime for business critical
apps
 For Bigelow, superior improvements in:
– Backup and Recovery
– Ease of management
– Increased performance
26

27. Summary
27
Nondisruptive operations
Transparent upgrades and tech refreshes
Provision for normal operations
Manage for peak I/O events
No added downtime to meet SLAs

28. Resources
 Clustered Data ONTAP 8.2
http://www.netapp.com/us/campaigns/clustered-ontap.aspx
 NetApp Data ONTAP: Clustering to Achieve Enterprise Scale
http://www.netapp.com/us/products/platform-os/data-ontap-
8/enterprise-scale.aspx
 Technical Report: Clustered Data ONTAP 8.2 – An
Introduction
http://www.netapp.com/us/media/tr-3982.pdf
 NetApp Solutions for Enterprise Applications
http://www.netapp.com/us/solutions/applications/
 Solution Brief: NetApp Solution for Oracle Database
http://www.netapp.com/us/system/pdf-reader.aspx?m=ds-
2882.pdf&cc=us
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