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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 ...

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.

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Slides: Maintain 24/7 Availability for Your Enterprise Applications Environment Presentation Transcript

  • 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 28
  • 29. 29 © 2013 NetApp, Inc. All rights reserved. No portions of this document may be reproduced without prior written consent of NetApp, Inc. Specifications are subject to change without notice. NetApp, the NetApp logo, Go further, faster, Data ONTAP, SnapManager, SnapMirror, Snapshot, SnapVault, and WAFL are trademarks or registered trademarks of NetApp, Inc. in the United States and/or other countries. Microsoft, SQL Server, and Windows Server are registered trademarks and Hyper-V is a trademark of Microsoft Corporation. Oracle is a registered trademark of Oracle Corporation. SAP is a registered trademark of SAP AG. All other brands or products are trademarks or registered trademarks of their respective holders and should be treated as such.