Symantec Event Template - Veritas B03.pdf · VMAX ORACLE M5000 EMC VMAX SRDF ... Space Saved (GB)...

SYMANTEC VISION 2012

SYMANTEC VISION 2012 Symantec Storage and Availability Management Group 2 SA B03 – Management Strategy and Futures 2

Management Strategy and Futures

Tom Harwood Product Management Jeff New Technical Product Management John Dodds Technical Product Management Symantec

Björn Sobek Team Leader Storage & Backup ING DiBa

SYMANTEC VISION 2012 3

Legal Notice and Safe Harbor

APP7400 - Symantec HA/DR Futures and Roadmap

NEW FEATURE AHEAD

“This information is about pre-release software. Any unreleased update to the product or other planned modification is subject to ongoing evaluation by Symantec and therefore subject to change. This information is provided without warranty of any kind, express or implied. Customers who purchase Symantec products should make their purchase decision based upon features that are currently available.”

Copyright© 2012 Symantec Corporation. All rights reserved. Symantec and the Symantec Logo are trademarks or registered trademarks of Symantec Corporation or its affiliates in the U.S. and other countries. Other names may be trademarks of their respective owners.

SA B03 – Management Strategy and Futures


Data Centers Are Increasingly Difficult To Manage

SA B03 – Management Strategy and Futures 4

Stricter and Broader SLAs

•Online operations demanded

• Performance as relevant as availability

1

Infrastructure Outpaces Budget

• Storage costs ballooning

•Unfulfilled virtualization savings

Complexity Increasing

• Platform and VM proliferation

• Lack of visibility

3 Unstructured data = Unknown data

•Growing old and irrelevant data

•Unknown data owners

4

2


How Symantec Addresses Data Center Challenges


Eliminate Risk

Monitor, Report and Scan

Manage Complexity

Manage Across Platforms

Control Costs

Identify And Remediate Waste

Improve Data Governance

Manage Data Growth


Symantec Storage and Availability Management Solutions

SA B03 – Management Strategy and Futures6

Bas

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Off

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($)

Manage Across Platforms Identify and Remediate Waste Manage Data Growth Monitor, Report and

Scan

Veritas Operations Manager Single pane of glass for SFHA management

Veritas Operations Manager Advanced Storage optimization, showback and scalable reporting

Symantec Data Insight Unstructured data management


Eliminating Risks


1

Monitor Inspect Report SLA Predict

0001010001011110110101010011100101010111001101010010101101010000101011100110101001010110101000011011001111001010101000101001010101001011001010100101011010101010101010101010110101010110101000101000101111011010101001110010101101100111100101010100010100101010100101100101010010101101010101010101010101011010101011010100010100010111101101010100111001010101011100110101001010110101000011011001111001010101000101001010101001011001010100101011010101010101010101010110101010110101000101000101111011010101001110010101010111001101010010101101010000110110011110010101010001010010101010010110010101001010110101010101010101010101101010101101010001010001011110110101010011100101


SFHA Real Time Event Monitoring

Avoid Outages and Performance Degradations While Deploying Storage Foundation


Performance and Capacity

• CPU, Memory and Host I/O metering

• Files System and Thin Pool Usage

• Array I/O metering

End to End Monitoring

Early Stage Warning

• Dashboard and root cause analysis

• SF, VVR, VCS and VBS

• SNMP integration

Heat Map

End to End Monitoring

AHEAD

• Fabric I/O metering

• Auto-adjusting and seasonally corrected alert thresholds

New


Inspect and Identify Configuration Risks Before They Become Problems


• Optimization

• Data risk

Best Practices DG DG Replication or Mirroring

App

• Configuration drifts

• App location

Tracking

• Patch information

• Package anomalies

Patching

• Local HA FireDrill

• DR FireDrill

Readiness

AHEAD AHEAD


Report Availability and Go Back in Time to Understand Faults


SLA Reporting

• Use File llll

Topology at Fault

Global Level

Data Center Level

Management Server

Enterprise Server

ESX1

VM1 VM2 VM3

ORC AHEAD

AHEAD

• Availability

• Alerts History

• Bandwidth Usage 0

5

10

15

20

25

30

Memory CPU I/O


Predict Future Resource Needs and the Best Place to Allocate New Workloads


High

Mid

Low

When is Tier 1

running out?

What if we deploy that

new project that needs

TBs of storage?

Usage

Capacity

| | | | | | | | | | | Months

Tier

1 T

ota

l Sto

rage

Cap

acit

y T

B

New High

New Mid

New Low

4 months to run

out of Tier 1

storage

3 months to run

out of Tier 1

storage

The new project is Tier 1

and needs 4 vCpu and 24

GB RAM. Which cluster

provides this resilience

and performance?

AHEAD New


ING DiBA Customer Use Case

Björn Sobek

Using VOM with SFHA/DR at ING DiBa

Barcelona– 14.11.2012

www.ing-diba.de

Björn Sobek

Teamleader Storage & Backup Services

14 19.11.2012 Bitte Präsentationstitel über Menüpunkt "Ansicht", "Kopf- und Fußzeile" anpassen

■ Short introduction of ING DiBa

› Business

› Datacenter landscape

■ SFHA/DR at ING DiBa

› Operation area of SFHA/DR

› Main Concept › Diagram

› Why this concept? (Benefits)

■ VOM at ING DiBa

› Setup of VOM at ING DiBa?

› Which features do we use at ING DiBa?

› Our Wishes

Topics


■ Business

› German online bank with focus on private customers belonging to ING Direct

› Biggest european online bank

› ~ 3600 employees

› ~ 7 million customers

■ Datacenter landscape

› 2 datacenters in Frankfurt (active-active)

› Major applications › Oracle Databases an Oracle SPARC servers (running in Solaris containers)

› JBOSS Application Servers (running on Redhat Linux at VMWARE virtual maschines)

Short introduction of ING DiBa


■ Main product is Storage Foundation HA/DR

■ Standard cluster concept

› Production: is a 2-Node-Failover Cluster (one node per datacenter) (N+1 redundancy) › up to 25 oracle databases (containers) runnning on a 2-node-cluster

› Internal production: up to 4-Node-Failover-Cluster for our development- and testing-teams (N+1 redundancy in one datacenter to be more flexible) › up to 130 Oracle databases (containers) running on a 4-node-cluster

› 25 clusters (from 2- to 4 node-clusters)

■ Applications under SFHA control

› guarantee availability of Oracle single-instance databases

› guarantee availability of our backup solution FTS Networker

› guarantee availability of our document management system application and some other applications

SFHA/DR at ING DiBa - Operation area of SFHA/DR


SFHA/DR at ING DiBa - Main Concept (Example Oracle DB)

Oracle Solaris Container Oracle DB

zpool

for non DB Files

striped vxdg

for DB files

ORACLE M5000

EMC

VMAX

ORACLE M5000

EMC

VMAX

SRDF

replication

Oracle Solaris Container Oracle DB

zpool

for non DB Files vxdg for DB files

Failover/Switch of

SG controlled by

VCS to 2nd

datacenter

Heartbeat


■ Project for consolidating and optimizing the operation of Oracle databases

(2009)

› cost reduction with newer and less hardware (Oracle M5000)

› virtualization to seperate the databases (1 Oracle DB = 1 Oracle Containers)

■ Standard cluster product for failover clusters was and still is VCS

› flexibility, functionality

› exisiting knowledge and operating concepts

› other operating teams use VCS Java GUI (now VOM)

■ Storage Foundation (VXVM/VXFS) for database files

› performance and flexibility

■ ZFS for non database files

› liveupgrade compatibility

› integrated snapshot-features

› …

SFHA/DR at ING DiBa – Why this Concept? (Benefits)

VOM at ING DiBa – VOM Setup at ING


■ 2 independent VOM Servers

› Production systems Internal production systems › (development, test, preproduction)

› Advantages

› Same seperation like SAN-Infrastructure (ECC)

› Our own test environment for VOM updates and upgrades

› Redhat Linux on VMWare (2 CPU, 6 GB RAM, 20GB Filesystem)

› Addons: Storage Insight for our VMAX Systems

■ Security Groups for other application-teams to manage their

servicegroups (based on LDAP authentication)

■ Current 4.1 is installed, we plan to upgrade in Q1/2013


VOM at ING DiBa – Which features do we use?

■ Standard monitoring für SFHA events is VOM

› no costs

› centralized monitoring (and management platform) for VX-based servers

› integrated monitoring rules › no dedicated scripts

› forwarding to our standard monitoring (ICINGA) via SNMP

■ Reporting

› Scheduled Reports for our admins and the management

› Standard Email-Reports (e.g. Servicegroup Activity, ...)

■ Performance Monitoring


SFHA/DR at ING DiBa – Wishes for VOM

■ From our point of view, VOM 4.1 is a centralized monitoring and reporting tool,

we need some features to use it as a real cluster administration tool.

› optimize cluster management implementation („rebuild java GUI“) › real time or refresh button

› Servicegroup tree view

› VOM users should only see what they need › not monitor-right for every user as standard

› Reports › Exporting scheduled reports as CSV

› Customized reports


Managing Complexity


Centralized Cross Platform

Management Smarter Operations Visibility

2


Multi-Tenancy, Multi-Role, Multi-Platform Management


Tree view for

easier navigation

and scoping

Quick links to

advanced

reports

Task list for

constant

monitoring

Perspectives

for operational

efficiency

AHEAD

Fast Filters

In context

operations

3 Pane View for

fast access to

detailed info

3 Pane View for

fast access to

detailed info

3 Pane View for

fast access to

detailed info


Trillium Beta Program

• Planned for December/January 2012

• Looking for VOM, VCS Java GUI, and/or VEA users who want to

– Download and try the new code for themselves

– Tour a demo system and be interviewed/answer questions

– Willing to see a demonstration

• Also looking more generally for Storage, Server, Switch, Virtualization administrators to test specific features

• Incentives available for customer participation

24


Automate Away Complexity with Smart Operations


• Service level based operations and template provisioning

• Online migration w/ auto reclaim

• Multi host workflow AHEAD

workflow

schedule

TIER 1

TIER 1

TIER 1 • Offline SG1_PRD

• Run do_something.pl

• Online VBS_PRD_DR

• Switch WSFC App1 to Site B

• Run SRM disaster_plan

• 3rd Party cluster support

• VMware SRM integration AHEAD

Recovery Plan

New

http://www.iconfinder.com/icondetails/40763/128/



Get the Visibility You Need to Make Informed Decisions


Applications in VMware Cluster 01

Application Location Status Protection

Oracle bc1 VM3 Online VCS

SAP CI3 VM4 Faulted AppHA

MySQL VM6 Offline None

Associations for Array Port: 5006016030207796

Consolidated Application View

Analyze Impact of Actions

Data Protection for: My_SAP

Clones

Replication

Topology and Data Protection Level

RAID

Backup

File System Checkpoints

Volume Snapshots

Volume Replication

Volume Mirror

Multi -Pathing

AHEAD

New


Quantify the Benefits of Optimization


Deduplication AHEAD

0 20 40 60 80 100

Thor_247

Sansol-03

uxrt32n-01

ccs-t5220

Space Saved (GB)

Top Hosts Benefited from Deduplication

Compression

0 1 2 3 4 5

Thor_247

Sansol-03

uxrt32n-01

ccs-t5220

Space Saved (GB)

Top Hosts Benefited from Compression

New Thin Reclamation

0 200 400 600 800 1000 1200

xiv_0123

3par_2340

emc1960

emc2345

Potential Savings (GB)

Top arrays which will benefit from reclamation

0 2 4 6 8

sansol-05

aix_04

rh-0454

su_987

Potential Savings (GB)

Top hosts which will benefit from reclamation

New


Controlling Data Center Costs


Report Waste Remediate Showback

3


Report Structured Data Usage


Block Excess

Database Storage Usage

Host Usage Analysis

Ap

p

Usa

ge

Excess Excess

Excess

Excess

Excess

Ph

ysic

al

Logi

cal

Cla

ime

d

Co

nsu

me

d

Ho

st

Usa

ge

32%

68%

Used Unused Database % Used

Ora10g 13%

Db2_prd 14%

SQL03 18%

SyB05 21%


Report Unstructured Data Usage


NAS Volume Usage

Unstructured Stale Data

Data Usage Analysis

25% 6%

7%

6%

56%

Data (Size) by Last Access Date 0-3 Months

3-6 Months

6-9 Months

9-12 Months

Older than 12 Months

File Group Type Space Used (MB)

File Count

VMware 117536.6 19

Backup and Archive 7286.5 23

Executable 2217.8 28

Graphics 34.3 120

Inferred User Space Used (GB)

File Count

John Dodds 745 120

Caio Milani 653 450

Ketan Shah 455 234

• Identify data owners through activity monitoring

NAS Volume Array Used

Dcslice01 NS210 19%

F_vol02 FAS3170-C1 23%

Dvol01 C2107 28%

appvol03 NSX-03 45%

New


No Downtime for Remediation Operations


Disks/LUNs

File System

Volumes Volume

SERVER

Deport unused LUNs

Migrate to Lower Tier

Compress Deduplication

Reclaim Shrink

Reallocate

Relayout

Online Operations

Real Time File System Scanning AHEAD

• Monitor File Usage

• Recommend Compression and Deduplication

http://www.iconfinder.net/icondetails/32667/128/



http://www.iconfinder.com/icondetails/27832/128/archive_compress_zip_icon



http://www.iconfinder.com/icondetails/49360/64/arrow_down_download_icon







Drive Accountability with Showback


0% 10% 20% 30% 40% 50% 60%

Small Business

Home Loans

Credit Cards

Retail

Utilization

Division Allocated Capacity (GB)

Total Charge ($USD)

Retail 8,652 $ 165,963

Home Loan 5,889 $110,414

Credit Cards 3,472 $ 65,092

Small Biz 57 $ 1,070

Total 18,070 $ 342,539

Structured Data Unstructured Data

Division Files Capacity (GB)

Total Charge ($USD)

Retail 10,345 $51,725

Home Loan 7,345 $44,070

Credit Cards 4,532 $27,192

Small Biz 150 $900

Total 22,372 $123,887

0% 20% 40% 60% 80% 100%

Small Business

Credit Cards

Retail

Home Loans

% Last Access > 12 Months

AHEAD



33

Data Owner remediation Integration Usage analytics


4


Remediation – Data owners inform policy/decisions

SYMC CONFIDENTIAL

Data Owners

34

Rapidly Growing Unstructured Data Review/Control Access

Sensitive Data Cleanup

Archive with Retention

Delete or Move to Cloud


Important Data

Inactive Data

AHEAD


Actionable Analytics – Archive Inactive Data

SYMC CONFIDENTIAL

35 SA B03 – Management Strategy and Futures


Actionable Analytics – Archive Inactive Data

SYMC CONFIDENTIAL



Actionable Analytics – Archived Data

SYMC CONFIDENTIAL



Actionable Analytics – Archived Data in Enterprise Vault

SYMC CONFIDENTIAL



Usage Analytics: Data Growth Alerts

SYMC CONFIDENTIAL


1 Alert on excessive create activity that represents data growth

2 Alert if file share size exceeds threshold (soft quota)

3 Track what activity (user/department) is responsible

AHEAD


Usage Analytics: Permissions Lockdown

SYMC CONFIDENTIAL


1 A sensitive data store has an ACL applied for all Finance users

2 Over time, only a small cross-functional project team is accessing the data

3 Data Insight makes recommendations to align access to business need

Sensitive Data

Currently applied

ACL = All Finance

Project Team

Revoke Access to

Lockdown

AHEAD


Recap: Management Strategy


Eliminate Risk

Monitor, Report and Scan

Manage Complexity

Manage Across Platforms

Control Costs

Identify And Remediate Waste


Manage Data Growth

Earn 200 Symantec Connect points for a blog about your experience with Veritas Operations Manager or Veritas Operations Manager Advanced Submit your blog at: symantec.com/connect/vom-contest by 16th of December

42


Thank You!

Symantec Event Template - Veritas B03.pdf · VMAX ORACLE M5000 EMC VMAX SRDF ... Space Saved (GB)...

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