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Back to the future

Understand and Optimize your IBM Notes/Domino infrastructure
Daniel Reimann
Introduction
• The goal: Thinking about going to the cloud, implementing Connections,
migrating, consolidating or growing your environment?

– Crucial data lives in various places in your IT infrastructure
– Doing any of the above projects requires you to look at this data in a “big picture”
view

• The challenge: How do you connect the various information silos?

– Knowledge is spread out in the environment in numerous repositories on several
servers
– In many situations, companies aren't even aware of the information available to
them

• How we can help: Going to back to the future to move forward

– Find out how your environment looks today and get surprising results
– Use these gathered results to solve existing issues and be well prepared for
implementing or connecting new services and optimizing or extending your
infrastructure
Session content:
(Some) results of a Domino Network Analysis Health Check
About DNA®
• Service Offering
• Unique multi dimensional Insight in Utilisation &
Configuration of IBM Notes/Domino
• Overall Health Check / SWOT of Customer Environment
• Data Collection -> Analysis -> Reporting
• IBM & Business Partners reselling DNA World Wide
• Executed remotely by panagenda/Trust Factory
ZEROImpact
Zero Impact: means:
Impact
means:
Nothing to Install
No Installation

Leaves No Footprint
Leave No Footprint
No Dependancy

Deliver in a Few Days
No Footprint
DNA® Service Modules
DNA® Health Check

Starting Point for
all DNA Services

Server Consolidation Support
Optional Service

Root Cause & Performance

See slides at the end of
this presentation

Optional Service

See slides at the end of
this presentation

Source Code Analysis
Optional Service

See slides at the end of
this presentation
What Results will it Provide?
• Reveales Realistic Ambitions for:
•
•
•
•

Cleanup & Optimization Opportunities
Server Consolidation & Network (Optional Module)
Application Migration (Optional Module)
Performance Optimization (Optional Module)

• Interactive Slide Deck
• Linked to Common Spreadsheets & Check Lists
• Recommendations

• Presented Live
• Along with Explanation & Interpretation of Analysis Results by Subject Matter
Expert
What can you do with the results?
• IT Director / CIO:
•
•
•
•

Executive Decision-Making Support
Validation of Business Case
Define Innovation & Cloud Strategy
Current State of Affairs

Each DNA

®

delivers:

Quick Wins
Project Wins
Strategic Wins

• Project Manager & Teams:

• DNA Facts & Findings Help Focus & Prioritize
• Detailed Helicopter View replaces Micro View
• Prepare any Scenario with DNA Data Points

• For Administration & Support:

• Cleanup & Optimize by Means of Actionable Check Lists
• Improve Service Levels
Scope
• Activity by Rich Clients
• Web users not included

• 7 days
• 26 Servers in Scope
Management Summary
• Today:
26 Domino Servers
4 Different Releases
22544, GB Storage

Databases:
102, Integrity Issues
1020, Open to Anonymous
Directories:
110, Conflicts/Duplicates
18 Weak Passwords

• Tomorrow:
6 Domino Servers *
1 Single 9.0 Release
8316, GB Storage

Issues solved

* Based on observed session concurrency of 2.167
(clustered, excl. special functions )
Domino Environment Overview
1 Domino Directory

2,806 Users Registered

2,064 Users Active

3,345 Databases Touched

2,055 Users sending email

46 Servers Registered

149,515 Views Indexed

26 Servers Analyzed

15,572 Databases Deployed

1,177,671 Views Defined

4 Domino Releases

176 View Storage (GB)

4 Operating Systems
144,164 ACL Entries

589 Groups Registered

22,594 Db Storage (GB)

23,605 Group Members
DNA Benchmark
Active versus Registered Users
100 %

2,064 active users

80 %

60 %

40 %

20 %

0%
Demo Inc

Lowest Customer

Unused Licenses, Web Users, Regular Absense

DNA Average

Highest Customer
DNA Bechmark
Time Online

50

20

40

15

30

10

20

5

10

-

Demo Inc.

Lowest Customer

DNA Average

Highest Customer

Session Duration

3

1

4

28

Online Time

37

5

17

44

-

Online Time
(hours per user)

60

25

Session Duration
(mins per session)

30
DNA Bechmark
Document Reads/Writes

750

2.000

500

1.000

250

-

Demo Inc.

Lowest Customer

DNA Average

Highest Customer

Document Reads

1.983

304

2.093

3.652

Document Writes

301

152

385

906

-

Document Writes

1.000

3.000

Document Reads

4.000
DNA Bechmark
Network Bandwidth Consumption

8

30

6

20

4

10

2

0

Demo Inc.

Lowest Customer

DNA Average

Highest Customer

server to clients

8,7

1,9

10,3

38,2

clients to server

1,6

0,5

2,1

8,1

0

clients to server
(kilobits per sec)

10

40

server to clients
(kilobits per sec)

50
User Demand Profiling
(Demo Company, 2064, active accounts)

20%

Remote Users <

> Of f ice Workers

System Accounts

15%

10%

5%

0%
2

4

6

8

10

12

14

Distinct Hours Online per Day

16

18

20

22

24
End User Demand Characteristics
Demo Company
100%

75%

50%

25%

0%

Notes Sessions

Document Reads

Document Writes

Db Transactions

Network Traffic

Session Duration

19%

0%

0%

4%

0%

3%

6%

5%

47%

8%

1%

1%

mail files

52%

69%

47%

62%

87%

89%

directories

17%

22%

2%

23%

6%

3%

applications

6%

4%

4%

3%

5%

4%

check new mail
system dbs
KiloBytes Sent to Server

User Demand on 3341, Databases
Demo Company
100.000.000

10.000.000

1.000.000

100.000

10.000

1.000

100

10

1

0

1

10

100

1.000

10.000

100.000

1.000.000

10.000.000

100.000.000

KiloBytes Read from Server
Application

Domino Directory

Mailfile

Mailin database

Server Mail Box

System database
End User Demand at Demo Company
Classified by Demand Level
Document
Writes

Document
Reads

Database
Transactions

Network Traffic
(client to server)

Network Traffic
(server to client)

User Sessions

0%

25%
Extreme (,0)

50%
Intensive (2,0)

75%
Moderate (62,0)

100%
Light (2000,0)
User Activity by Top 10 Accounts
(Document Reads)

25.000

20.000
user_810
user_864
user_1831

15.000

user_1364
user_894
user_1950
user_2652

10.000

user_996
user_2243
user_657

5.000

18

12

6

DD-Okt-YY 0

18

12

6

DD-Okt-YY 0

18

12

6

DD-Okt-YY 0

18

12

6

DD-Okt-YY 0

18

12

6

DD-Okt-YY 0

18

12

6

DD-Okt-YY 0

18

12

DD-Okt-YY 0
6

0
Domino Servers at Demo Company
Classified by Maximum Session Concurrency

20
Redistributing the load can reduce nr. of
servers with up to 18,

15

10

5

0
Level
Servers

Very Low
< 50

Low
50 - 249

Average
250 - 749

Normal
750 - 1499

High
> 1500

18

6

0

2

0
20

16

12

08

04

2010-10-27 00

20

16

12

08

04

2010-10-26 00

20

16

12

08

04

2010-10-25 00

20

16

12

08

04

2010-10-24 00

20

16

12

08

04

2010-10-23 00

20

16

12

08

04

2010-10-22 00

20

16

12

08

04

2010-10-21 00

Concurrent User Session

End User Demand
Session Concurrency

2,500
Max Observed Maxim um : 2,167

2,000

1,500

1,000

500

0
20

16

12

08

04

2010-10-27 00

20

16

12

08

04

2010-10-26 00

20

16

12

08

04

2010-10-25 00

20

16

12

08

04

2010-10-24 00

20

16

12

08

04

2010-10-23 00

20

16

12

08

04

2010-10-22 00

20

16

12

08

04

2010-10-21 00

Avg per Hou

End User Demand
Document Reads

2,500
Max Observed Average: 1,911

2,000

1,500

1,000

500

0
20

16

12

08

04

2010-10-27 00

20

16

12

08

04

2010-10-26 00

20

16

12

08

04

2010-10-25 00

20

16

12

08

04

2010-10-24 00

20

16

12

08

04

2010-10-23 00

20

16

12

08

04

2010-10-22 00

20

16

12

08

04

2010-10-21 00

Avg per Hou

End User Demand
Document Writes

800
Max Observed Average: 678

700

600

500

400

300

200

100

0
20

16

12

08

04

2010-10-27 00

20

16

12

08

04

2010-10-26 00

20

16

12

08

04

2010-10-25 00

20

16

12

08

04

2010-10-24 00

20

16

12

08

04

2010-10-23 00

20

16

12

08

04

2010-10-22 00

20

16

12

08

04

2010-10-21 00

Avg per Hou

End User Demand
Database Transactions

16,000
Max Observed Average: 13,498

14,000

12,000

10,000

8,000

6,000

4,000

2,000

0
20

16

12

08

04

2010-10-27 00

20

16

12

08

04

2010-10-26 00

20

16

12

08

04

2010-10-25 00

20

16

12

08

04

2010-10-24 00

20

16

12

08

04

2010-10-23 00

20

16

12

08

04

2010-10-22 00

20

16

12

08

04

2010-10-21 00

Avg per Hour (kbps, to clien

End User Demand
Network Bandwidth Consumption

25,000
Max Observed Average: 23,616

20,000

15,000

10,000

5,000

0
Network Compression
How Much is Notes Network Compression Used?

Includes Traffic
from Users and
Servers

# Users making use of
Notes Network Compression

Disabled
99%

100%
Enabled
Disabled

75%

% Active User

Enabled
1%

50%

25%

0%
Persons

Servers
Deployment Integrity
Entries appearing in multiple documents
Integrity check
Duplicate Replica On Same Server
Duplicate Template on same Server

# Databases
80
0

Full Names

Name Variations

Group

0

2

Mailin / Resource

4

6

Document Type

Replicas Acting As Different Template

22

Person

0

95

Same Replica but Different Inheritance

0

Other

3

0

Grand Total

7

103

Grand Total

102

86 Group Cycles Detected
DB Storage Profile for Demo Company
Distributed by Size
25%
Dbs > 1 GB: 1,323
Dbs > 10 GB: 431

System database

15%

Mailin database
Mailfile
Domino Directory
Application

10%

5%

100.000

10.000

1.000

100

Size (megabytes)

10

0%

1

% of Total Storage

20%
Database Storage Consolidation Potential
Number of
Database Type
Domino Directory

Total

Unique

Consolidated

Storage

Databases

Storage

Replicas

Storage

Savings
100%

79

3

30

7,832

20,723

2,768

7,517

64%

Mailin database

261

107

144

53

50%

Server Mail Box

54

8

54

8

0%

QuickPlace

165

1

147

1

0%

BlackBerry

1,425

11

718

6

45%

Application

2,904

1,691

1,200

731

57%

12,720

22,544

5,061

8,316

63%

Mailfile

Grand Total

-

Top 10 databases ranked by size
Database Title

Db Type

Storage (GB)

061cc52a3244e8bad944519170c3ff06

Mailfile

42.2

96140ee5ec036ec69136a74647729a2a

Mailfile

32.2

cad93d0aa156514e70237f1b370cc9c5

Mailfile

31.9

cfef8f68b2847cdd2eea9dda44d94acc

Mailfile

30.5

861455d1d12b1b2d990fc9e7c41ceea7

Mailfile

28.9

5128de940e6d560d37723b6448d48e00

Mailfile

28.7

d6de2ffe48a037e2e93ff13c688df77c

Mailfile

28.3

490eeb54ce626d24d63d1038be4de073

Mailfile

28.0

928c35784596e9487a0db1304573a310

Mailfile

27.8

1ab2006c3ef8fe4ba6e7daca15ee29d6

Application

27.3
View Size Distribution for Demo Company

Views > 100 MB: 234,
Views > 1 GB: 8,

12%
Showing 148355, views

8%

System database
Mailin database
Mailfile
Domino Directory

6%

Application

4%

2%

10 GB

1 GB

100 MB

10 MB

1 MB

100 KB

0%

10 KB

% of Total View Storage

10%
View Size Distribution for Demo Company
End User Mail Files

25%

Views > 100 MB: 13,0
Views > 1 GB: ,0

Showing 7104, views

($Meetings)

15%

($ThreadsEmbed)
($All)
($Sent)
($Inbox)

10%

5%

100 MB

10 MB

1 MB

100 KB

0%

10 KB

% of Total View Storage

20%
Basic Security Checks
Internet Password Strength

Databases with Anonymous Access

Variations found

Accounts

Company Name

1

First Name

1

Last Name

1

Depositor

Short Name

7

'password'

8
18

Databases

Templates

0

28

Reader

262

80

Author

35

82

Editor
Grand Total

Access Level

2

0

Manager

0

21

Grand Total

299

211

Grand Total

598

422
Applications Touched by Users
Application Migration Effort
15,572

Databases on all Servers

5,507

Unique Replica IDs

1,349

Excl. mail and system files

193

Applications Used in past 7 days

Recoding Effort
Optimize Platform
Server Health Checks
The following Slides show several higlights of the
platform checks that were performed
Namelookup Cache Utilization
on server server_17
Set this cache higher to
prevent 100% utilization

2 other server(s) have sim ilar issues

100

%
75

50

25

18

12

6

27-Oct-10 0

18

12

6

26-Oct-10 0

18

12

6

25-Oct-10 0

18

12

6

24-Oct-10 0

18

12

6

23-Oct-10 0

18

12

6

22-Oct-10 0

18

12

6

21-Oct-10 0

0
NSF Events & Monitor Pool Size Utilization
on server server_17
Cache Size is Sufficient

No issues detected on other servers

100

%
75

50

25

18

12

6

27-Oct-10 0

18

12

6

26-Oct-10 0

18

12

6

25-Oct-10 0

18

12

6

24-Oct-10 0

18

12

6

23-Oct-10 0

18

12

6

22-Oct-10 0

18

12

6

21-Oct-10 0

0
Miss Rate on Database BufferPool
on server server_24

Longer periods of High
Miss Rate may indicate
Performance Constraint

%
5 other server(s) m ay have sim ilar issues

25

20

15

10

5

18

12

6

27-Oct-10 0

18

12

6

26-Oct-10 0

18

12

6

25-Oct-10 0

18

12

6

24-Oct-10 0

18

12

6

23-Oct-10 0

18

12

6

22-Oct-10 0

18

12

6

21-Oct-10 0

0
Database File IO in KBytes per Second
Read activity on server server_16
Show ing busiest server

3,500

3,000

2,500

2,000

1,500

1,000

500

18

12

6

27-Oct-10 0

18

12

6

26-Oct-10 0

18

12

6

25-Oct-10 0

18

12

6

24-Oct-10 0

18

12

6

23-Oct-10 0

18

12

6

22-Oct-10 0

18

12

6

21-Oct-10 0

0
Database File IO in KBytes per Second
Write activity on server server_26
Show ing busiest server

1,000
900
800
700
600
500
400
300
200
100

18

12

6

27-Oct-10 0

18

12

6

26-Oct-10 0

18

12

6

25-Oct-10 0

18

12

6

24-Oct-10 0

18

12

6

23-Oct-10 0

18

12

6

22-Oct-10 0

18

12

6

21-Oct-10 0

0
Full Text Index Utilization
Search activity on server server_17
Show ing busiest server

0:00:22

0:00:13

0:00:09

0:00:04

18

12

6

27-Oct-10 0

18

12

6

26-Oct-10 0

18

12

6

25-Oct-10 0

18

12

6

24-Oct-10 0

18

12

6

23-Oct-10 0

18

12

6

22-Oct-10 0

18

12

6

0:00:00

21-Oct-10 0

Hours:Minut

0:00:17
Mail Delivery Rates
Categorized by Msg Size
Msgs per Hour, Show ing all servers

30,000

25,000

20,000

15,000

10,000

5,000

under_1kb

1kb_to_10kb

10kb_to_100kb

100kb_to_1mb

1mb_to_10mb

10mb_to_100mb

18

12

6

27-Oct-10 0

18

12

6

26-Oct-10 0

18

12

6

25-Oct-10 0

18

12

6

24-Oct-10 0

18

12

6

23-Oct-10 0

18

12

6

22-Oct-10 0

18

12

6

21-Oct-10 0

0

over_100mb
Mail Transfer Rates
Categorized by Msg Size
Msgs per Hour, Show ing all servers

7,000

6,000

5,000

4,000

3,000

2,000

1,000

under_1kb

1kb_to_10kb

10kb_to_100kb

100kb_to_1mb

1mb_to_10mb

10mb_to_100mb

18

12

6

27-Oct-10 0

18

12

6

26-Oct-10 0

18

12

6

25-Oct-10 0

18

12

6

24-Oct-10 0

18

12

6

23-Oct-10 0

18

12

6

22-Oct-10 0

18

12

6

21-Oct-10 0

0

over_100mb
DNA for Root Cause & Performance:
• Service Offering
• Assist Customers with Root Cause Analysis
» Application & Server Performance
» Server Stability and Complex Support Topics
» Network Latency Impact

• Data Collection -> Analysis -> Reporting
• Executed Remotely by panagenda/Trust Factory
ZEROImpact
Zero Impact: means:
Impact
means:

• Prerequisite
• DNA Health Check Performed

Nothing to Install
No Installation

Leaves No Footprint
Leave No Footprint
No Dependancy

Deliver in a Few Days
No Footprint
What Results will it Provide?
• Root Cause Analysis Report:

• Server & OS Configuration and Settings
• Application Performance
• Impact of Network Delay on Applications

• Interactive Slide Deck

• Linked to Common Spreadsheets & Check Lists
• Recommendations

• Presented Live

• Along with Explanation & Interpretation of Analysis Results
by Subject Matter Expert
What can you do with the results?
• Application Owners:
• Improve User Satisfaction

• Developers:
• Improve Source Code of Applications

• Adminstrators:
• Improve Server Performance
DNA Server Consolidation:
• Service Offering
• Multi Dimensional Insight into Network Demand,
Consolidation Potential & Data Center Scenarios
• Detailed Roadmap to Plan & Execute Server Consolidations
• Data Collection -> Analysis -> Reporting
• Executed Remotely by BP Trust Factory
ZEROImpactmeans:
Zero Impact:
Impact means:
Nothing to Install
No Installation

• Prerequisite

Leaves No Footprint
Leave No Footprint
No Dependancy

• DNA Health Check Performed
Deliver in a Few Days
No Footprint
What Results will it Provide?
•
•
•
•
•

Calculates Network Bandwidth Requirements
Consolidation Potential & Placement Scenarios
System & User Traffic Reduction & Optimization
Sizing Parameters for Servers, Storage & Network
Data Points for Cloud / Lotus Live

• Interactive Slide Deck

• Linked to Common Spreadsheets & Check Lists
• Recommendations

• Presented Live

• Along with Explanation & Interpretation of Analysis Results by Subject Matter Expert
What can you do with the results?
• IT Director / CIO:
• Executive Decision-Making Support
• Validation of Business Cases & Vendor Proposals
• Effective Realization of Cost Reduction

• Project Manager & Teams:
•
•
•
•

Input for Business Case & Project Proposal
DNA Facts & Findings Help Focus & Prioritize
Define Service Levels
Use Sizing Parameters for RFP’s
DNA Source Code Analysis:
• Service Offering
• Multi Dimensional Insight into Entire Application Landscape
» All Design Elements
» Source Code

• Real Impact of Application Landscape on Platform Migration
» Factual Quantification of Migration Effort for Redevelopment
» Identify Applications that Depend on Notes Mail

• Data Collection -> Analysis -> Reporting
• Executed Remotely by Trust Factory

• Prerequisite
• DNA Health Check Performed

ZEROImpactmeans:
Zero Impact:
Impact means:

Nothing to Install
No Installation

Leaves No Footprint
Leave No Footprint
No Dependancy

Deliver in a Few Days
No Footprint
What Results will it Provide?
• Complete Inventory of De-Duplicated Design & Source Code
• List of Applications that will Break after Migrating Notes Mail away
from Domino
• True Migration Effort based on Cocomo II
• Interactive Slide Deck
• Linked to Common Spreadsheets & Check Lists
• Recommendations

• Presented Live
• Along with Explanation & Interpretation of Analysis Results by Subject Matter
Expert
What can you do with the results?
• IT Director / CIO:
• Executive Decision-Making Support
• Validation of Business Cases & Vendor Proposals
• Develop Innovation Strategy

• Project Manager & Teams:
•
•
•
•

Input for Business Case & Project Proposal
Remediate Apps & Code Interacting with Notes Mail
DNA Facts & Findings Help Focus & Prioritize
Consolidate Source Code
Upcoming: panagenda iDNA
The In-house Version of Trust Factory‘s DNA Service

http://www.panagenda.com/en_uk/idna
Instant and Ongoing Analytics for Servers, Clients, Apps & More

• Unique Insights and Instant Value
• Executive Decision-Making Support
• Validation of Business Cases & Vendor Proposals
• Develop Innovation Strategy

• Turn Data into Knowledge
•
•
•
•

Hassle-free data collection from many different data sources
Instantly turns your data into meaningful reports
Move from reactive to proactive operations
Helps to fix, foresee and prevent problems with root cause
identification
• Gain answers to questions you never knew you could ask
Instant and Ongoing Analytics for Servers, Clients, Apps & More

• Facts and Architecture
• Up and running in half an hour - turnkey virtual softwareappliance
(Linux/VMWare)
• Non-intrusive, agent-less software - no installations required on
analyzed systems
• Data ware house access possible for data use with existing
reporting solutions
• HTML5 and PDF export for offline reports
Thank you!!!
How to Engage
• Master Agreement is in Place with IBM since 2003:
• Global Master Agreement Number:
• Trust Factory Supplier Number:

• panagenda:
•
•
•
•

4902NL0239
1000216663

Schreyvogelgasse 3/10 :: 1010 Vienna :: Austria
Web: http://www.panagenda.com
Email: office@panagenda.com
Fax: +43 1 89 012 89 – 15

• Our business partners in Italy:

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Back to Future: Optimize IBM Notes Infrastructure

  • 1. Back to the future Understand and Optimize your IBM Notes/Domino infrastructure Daniel Reimann
  • 2. Introduction • The goal: Thinking about going to the cloud, implementing Connections, migrating, consolidating or growing your environment? – Crucial data lives in various places in your IT infrastructure – Doing any of the above projects requires you to look at this data in a “big picture” view • The challenge: How do you connect the various information silos? – Knowledge is spread out in the environment in numerous repositories on several servers – In many situations, companies aren't even aware of the information available to them • How we can help: Going to back to the future to move forward – Find out how your environment looks today and get surprising results – Use these gathered results to solve existing issues and be well prepared for implementing or connecting new services and optimizing or extending your infrastructure
  • 3. Session content: (Some) results of a Domino Network Analysis Health Check
  • 4. About DNA® • Service Offering • Unique multi dimensional Insight in Utilisation & Configuration of IBM Notes/Domino • Overall Health Check / SWOT of Customer Environment • Data Collection -> Analysis -> Reporting • IBM & Business Partners reselling DNA World Wide • Executed remotely by panagenda/Trust Factory ZEROImpact Zero Impact: means: Impact means: Nothing to Install No Installation Leaves No Footprint Leave No Footprint No Dependancy Deliver in a Few Days No Footprint
  • 5. DNA® Service Modules DNA® Health Check Starting Point for all DNA Services Server Consolidation Support Optional Service Root Cause & Performance See slides at the end of this presentation Optional Service See slides at the end of this presentation Source Code Analysis Optional Service See slides at the end of this presentation
  • 6. What Results will it Provide? • Reveales Realistic Ambitions for: • • • • Cleanup & Optimization Opportunities Server Consolidation & Network (Optional Module) Application Migration (Optional Module) Performance Optimization (Optional Module) • Interactive Slide Deck • Linked to Common Spreadsheets & Check Lists • Recommendations • Presented Live • Along with Explanation & Interpretation of Analysis Results by Subject Matter Expert
  • 7. What can you do with the results? • IT Director / CIO: • • • • Executive Decision-Making Support Validation of Business Case Define Innovation & Cloud Strategy Current State of Affairs Each DNA ® delivers: Quick Wins Project Wins Strategic Wins • Project Manager & Teams: • DNA Facts & Findings Help Focus & Prioritize • Detailed Helicopter View replaces Micro View • Prepare any Scenario with DNA Data Points • For Administration & Support: • Cleanup & Optimize by Means of Actionable Check Lists • Improve Service Levels
  • 8. Scope • Activity by Rich Clients • Web users not included • 7 days • 26 Servers in Scope
  • 9. Management Summary • Today: 26 Domino Servers 4 Different Releases 22544, GB Storage Databases: 102, Integrity Issues 1020, Open to Anonymous Directories: 110, Conflicts/Duplicates 18 Weak Passwords • Tomorrow: 6 Domino Servers * 1 Single 9.0 Release 8316, GB Storage Issues solved * Based on observed session concurrency of 2.167 (clustered, excl. special functions )
  • 10. Domino Environment Overview 1 Domino Directory 2,806 Users Registered 2,064 Users Active 3,345 Databases Touched 2,055 Users sending email 46 Servers Registered 149,515 Views Indexed 26 Servers Analyzed 15,572 Databases Deployed 1,177,671 Views Defined 4 Domino Releases 176 View Storage (GB) 4 Operating Systems 144,164 ACL Entries 589 Groups Registered 22,594 Db Storage (GB) 23,605 Group Members
  • 11. DNA Benchmark Active versus Registered Users 100 % 2,064 active users 80 % 60 % 40 % 20 % 0% Demo Inc Lowest Customer Unused Licenses, Web Users, Regular Absense DNA Average Highest Customer
  • 12. DNA Bechmark Time Online 50 20 40 15 30 10 20 5 10 - Demo Inc. Lowest Customer DNA Average Highest Customer Session Duration 3 1 4 28 Online Time 37 5 17 44 - Online Time (hours per user) 60 25 Session Duration (mins per session) 30
  • 13. DNA Bechmark Document Reads/Writes 750 2.000 500 1.000 250 - Demo Inc. Lowest Customer DNA Average Highest Customer Document Reads 1.983 304 2.093 3.652 Document Writes 301 152 385 906 - Document Writes 1.000 3.000 Document Reads 4.000
  • 14. DNA Bechmark Network Bandwidth Consumption 8 30 6 20 4 10 2 0 Demo Inc. Lowest Customer DNA Average Highest Customer server to clients 8,7 1,9 10,3 38,2 clients to server 1,6 0,5 2,1 8,1 0 clients to server (kilobits per sec) 10 40 server to clients (kilobits per sec) 50
  • 15. User Demand Profiling (Demo Company, 2064, active accounts) 20% Remote Users < > Of f ice Workers System Accounts 15% 10% 5% 0% 2 4 6 8 10 12 14 Distinct Hours Online per Day 16 18 20 22 24
  • 16. End User Demand Characteristics Demo Company 100% 75% 50% 25% 0% Notes Sessions Document Reads Document Writes Db Transactions Network Traffic Session Duration 19% 0% 0% 4% 0% 3% 6% 5% 47% 8% 1% 1% mail files 52% 69% 47% 62% 87% 89% directories 17% 22% 2% 23% 6% 3% applications 6% 4% 4% 3% 5% 4% check new mail system dbs
  • 17. KiloBytes Sent to Server User Demand on 3341, Databases Demo Company 100.000.000 10.000.000 1.000.000 100.000 10.000 1.000 100 10 1 0 1 10 100 1.000 10.000 100.000 1.000.000 10.000.000 100.000.000 KiloBytes Read from Server Application Domino Directory Mailfile Mailin database Server Mail Box System database
  • 18. End User Demand at Demo Company Classified by Demand Level Document Writes Document Reads Database Transactions Network Traffic (client to server) Network Traffic (server to client) User Sessions 0% 25% Extreme (,0) 50% Intensive (2,0) 75% Moderate (62,0) 100% Light (2000,0)
  • 19. User Activity by Top 10 Accounts (Document Reads) 25.000 20.000 user_810 user_864 user_1831 15.000 user_1364 user_894 user_1950 user_2652 10.000 user_996 user_2243 user_657 5.000 18 12 6 DD-Okt-YY 0 18 12 6 DD-Okt-YY 0 18 12 6 DD-Okt-YY 0 18 12 6 DD-Okt-YY 0 18 12 6 DD-Okt-YY 0 18 12 6 DD-Okt-YY 0 18 12 DD-Okt-YY 0 6 0
  • 20. Domino Servers at Demo Company Classified by Maximum Session Concurrency 20 Redistributing the load can reduce nr. of servers with up to 18, 15 10 5 0 Level Servers Very Low < 50 Low 50 - 249 Average 250 - 749 Normal 750 - 1499 High > 1500 18 6 0 2 0
  • 21. 20 16 12 08 04 2010-10-27 00 20 16 12 08 04 2010-10-26 00 20 16 12 08 04 2010-10-25 00 20 16 12 08 04 2010-10-24 00 20 16 12 08 04 2010-10-23 00 20 16 12 08 04 2010-10-22 00 20 16 12 08 04 2010-10-21 00 Concurrent User Session End User Demand Session Concurrency 2,500 Max Observed Maxim um : 2,167 2,000 1,500 1,000 500 0
  • 22. 20 16 12 08 04 2010-10-27 00 20 16 12 08 04 2010-10-26 00 20 16 12 08 04 2010-10-25 00 20 16 12 08 04 2010-10-24 00 20 16 12 08 04 2010-10-23 00 20 16 12 08 04 2010-10-22 00 20 16 12 08 04 2010-10-21 00 Avg per Hou End User Demand Document Reads 2,500 Max Observed Average: 1,911 2,000 1,500 1,000 500 0
  • 23. 20 16 12 08 04 2010-10-27 00 20 16 12 08 04 2010-10-26 00 20 16 12 08 04 2010-10-25 00 20 16 12 08 04 2010-10-24 00 20 16 12 08 04 2010-10-23 00 20 16 12 08 04 2010-10-22 00 20 16 12 08 04 2010-10-21 00 Avg per Hou End User Demand Document Writes 800 Max Observed Average: 678 700 600 500 400 300 200 100 0
  • 24. 20 16 12 08 04 2010-10-27 00 20 16 12 08 04 2010-10-26 00 20 16 12 08 04 2010-10-25 00 20 16 12 08 04 2010-10-24 00 20 16 12 08 04 2010-10-23 00 20 16 12 08 04 2010-10-22 00 20 16 12 08 04 2010-10-21 00 Avg per Hou End User Demand Database Transactions 16,000 Max Observed Average: 13,498 14,000 12,000 10,000 8,000 6,000 4,000 2,000 0
  • 25. 20 16 12 08 04 2010-10-27 00 20 16 12 08 04 2010-10-26 00 20 16 12 08 04 2010-10-25 00 20 16 12 08 04 2010-10-24 00 20 16 12 08 04 2010-10-23 00 20 16 12 08 04 2010-10-22 00 20 16 12 08 04 2010-10-21 00 Avg per Hour (kbps, to clien End User Demand Network Bandwidth Consumption 25,000 Max Observed Average: 23,616 20,000 15,000 10,000 5,000 0
  • 26. Network Compression How Much is Notes Network Compression Used? Includes Traffic from Users and Servers # Users making use of Notes Network Compression Disabled 99% 100% Enabled Disabled 75% % Active User Enabled 1% 50% 25% 0% Persons Servers
  • 27. Deployment Integrity Entries appearing in multiple documents Integrity check Duplicate Replica On Same Server Duplicate Template on same Server # Databases 80 0 Full Names Name Variations Group 0 2 Mailin / Resource 4 6 Document Type Replicas Acting As Different Template 22 Person 0 95 Same Replica but Different Inheritance 0 Other 3 0 Grand Total 7 103 Grand Total 102 86 Group Cycles Detected
  • 28. DB Storage Profile for Demo Company Distributed by Size 25% Dbs > 1 GB: 1,323 Dbs > 10 GB: 431 System database 15% Mailin database Mailfile Domino Directory Application 10% 5% 100.000 10.000 1.000 100 Size (megabytes) 10 0% 1 % of Total Storage 20%
  • 29. Database Storage Consolidation Potential Number of Database Type Domino Directory Total Unique Consolidated Storage Databases Storage Replicas Storage Savings 100% 79 3 30 7,832 20,723 2,768 7,517 64% Mailin database 261 107 144 53 50% Server Mail Box 54 8 54 8 0% QuickPlace 165 1 147 1 0% BlackBerry 1,425 11 718 6 45% Application 2,904 1,691 1,200 731 57% 12,720 22,544 5,061 8,316 63% Mailfile Grand Total - Top 10 databases ranked by size Database Title Db Type Storage (GB) 061cc52a3244e8bad944519170c3ff06 Mailfile 42.2 96140ee5ec036ec69136a74647729a2a Mailfile 32.2 cad93d0aa156514e70237f1b370cc9c5 Mailfile 31.9 cfef8f68b2847cdd2eea9dda44d94acc Mailfile 30.5 861455d1d12b1b2d990fc9e7c41ceea7 Mailfile 28.9 5128de940e6d560d37723b6448d48e00 Mailfile 28.7 d6de2ffe48a037e2e93ff13c688df77c Mailfile 28.3 490eeb54ce626d24d63d1038be4de073 Mailfile 28.0 928c35784596e9487a0db1304573a310 Mailfile 27.8 1ab2006c3ef8fe4ba6e7daca15ee29d6 Application 27.3
  • 30. View Size Distribution for Demo Company Views > 100 MB: 234, Views > 1 GB: 8, 12% Showing 148355, views 8% System database Mailin database Mailfile Domino Directory 6% Application 4% 2% 10 GB 1 GB 100 MB 10 MB 1 MB 100 KB 0% 10 KB % of Total View Storage 10%
  • 31. View Size Distribution for Demo Company End User Mail Files 25% Views > 100 MB: 13,0 Views > 1 GB: ,0 Showing 7104, views ($Meetings) 15% ($ThreadsEmbed) ($All) ($Sent) ($Inbox) 10% 5% 100 MB 10 MB 1 MB 100 KB 0% 10 KB % of Total View Storage 20%
  • 32. Basic Security Checks Internet Password Strength Databases with Anonymous Access Variations found Accounts Company Name 1 First Name 1 Last Name 1 Depositor Short Name 7 'password' 8 18 Databases Templates 0 28 Reader 262 80 Author 35 82 Editor Grand Total Access Level 2 0 Manager 0 21 Grand Total 299 211 Grand Total 598 422
  • 33. Applications Touched by Users Application Migration Effort 15,572 Databases on all Servers 5,507 Unique Replica IDs 1,349 Excl. mail and system files 193 Applications Used in past 7 days Recoding Effort Optimize Platform
  • 34. Server Health Checks The following Slides show several higlights of the platform checks that were performed
  • 35. Namelookup Cache Utilization on server server_17 Set this cache higher to prevent 100% utilization 2 other server(s) have sim ilar issues 100 % 75 50 25 18 12 6 27-Oct-10 0 18 12 6 26-Oct-10 0 18 12 6 25-Oct-10 0 18 12 6 24-Oct-10 0 18 12 6 23-Oct-10 0 18 12 6 22-Oct-10 0 18 12 6 21-Oct-10 0 0
  • 36. NSF Events & Monitor Pool Size Utilization on server server_17 Cache Size is Sufficient No issues detected on other servers 100 % 75 50 25 18 12 6 27-Oct-10 0 18 12 6 26-Oct-10 0 18 12 6 25-Oct-10 0 18 12 6 24-Oct-10 0 18 12 6 23-Oct-10 0 18 12 6 22-Oct-10 0 18 12 6 21-Oct-10 0 0
  • 37. Miss Rate on Database BufferPool on server server_24 Longer periods of High Miss Rate may indicate Performance Constraint % 5 other server(s) m ay have sim ilar issues 25 20 15 10 5 18 12 6 27-Oct-10 0 18 12 6 26-Oct-10 0 18 12 6 25-Oct-10 0 18 12 6 24-Oct-10 0 18 12 6 23-Oct-10 0 18 12 6 22-Oct-10 0 18 12 6 21-Oct-10 0 0
  • 38. Database File IO in KBytes per Second Read activity on server server_16 Show ing busiest server 3,500 3,000 2,500 2,000 1,500 1,000 500 18 12 6 27-Oct-10 0 18 12 6 26-Oct-10 0 18 12 6 25-Oct-10 0 18 12 6 24-Oct-10 0 18 12 6 23-Oct-10 0 18 12 6 22-Oct-10 0 18 12 6 21-Oct-10 0 0
  • 39. Database File IO in KBytes per Second Write activity on server server_26 Show ing busiest server 1,000 900 800 700 600 500 400 300 200 100 18 12 6 27-Oct-10 0 18 12 6 26-Oct-10 0 18 12 6 25-Oct-10 0 18 12 6 24-Oct-10 0 18 12 6 23-Oct-10 0 18 12 6 22-Oct-10 0 18 12 6 21-Oct-10 0 0
  • 40. Full Text Index Utilization Search activity on server server_17 Show ing busiest server 0:00:22 0:00:13 0:00:09 0:00:04 18 12 6 27-Oct-10 0 18 12 6 26-Oct-10 0 18 12 6 25-Oct-10 0 18 12 6 24-Oct-10 0 18 12 6 23-Oct-10 0 18 12 6 22-Oct-10 0 18 12 6 0:00:00 21-Oct-10 0 Hours:Minut 0:00:17
  • 41. Mail Delivery Rates Categorized by Msg Size Msgs per Hour, Show ing all servers 30,000 25,000 20,000 15,000 10,000 5,000 under_1kb 1kb_to_10kb 10kb_to_100kb 100kb_to_1mb 1mb_to_10mb 10mb_to_100mb 18 12 6 27-Oct-10 0 18 12 6 26-Oct-10 0 18 12 6 25-Oct-10 0 18 12 6 24-Oct-10 0 18 12 6 23-Oct-10 0 18 12 6 22-Oct-10 0 18 12 6 21-Oct-10 0 0 over_100mb
  • 42. Mail Transfer Rates Categorized by Msg Size Msgs per Hour, Show ing all servers 7,000 6,000 5,000 4,000 3,000 2,000 1,000 under_1kb 1kb_to_10kb 10kb_to_100kb 100kb_to_1mb 1mb_to_10mb 10mb_to_100mb 18 12 6 27-Oct-10 0 18 12 6 26-Oct-10 0 18 12 6 25-Oct-10 0 18 12 6 24-Oct-10 0 18 12 6 23-Oct-10 0 18 12 6 22-Oct-10 0 18 12 6 21-Oct-10 0 0 over_100mb
  • 43. DNA for Root Cause & Performance: • Service Offering • Assist Customers with Root Cause Analysis » Application & Server Performance » Server Stability and Complex Support Topics » Network Latency Impact • Data Collection -> Analysis -> Reporting • Executed Remotely by panagenda/Trust Factory ZEROImpact Zero Impact: means: Impact means: • Prerequisite • DNA Health Check Performed Nothing to Install No Installation Leaves No Footprint Leave No Footprint No Dependancy Deliver in a Few Days No Footprint
  • 44. What Results will it Provide? • Root Cause Analysis Report: • Server & OS Configuration and Settings • Application Performance • Impact of Network Delay on Applications • Interactive Slide Deck • Linked to Common Spreadsheets & Check Lists • Recommendations • Presented Live • Along with Explanation & Interpretation of Analysis Results by Subject Matter Expert
  • 45. What can you do with the results? • Application Owners: • Improve User Satisfaction • Developers: • Improve Source Code of Applications • Adminstrators: • Improve Server Performance
  • 46. DNA Server Consolidation: • Service Offering • Multi Dimensional Insight into Network Demand, Consolidation Potential & Data Center Scenarios • Detailed Roadmap to Plan & Execute Server Consolidations • Data Collection -> Analysis -> Reporting • Executed Remotely by BP Trust Factory ZEROImpactmeans: Zero Impact: Impact means: Nothing to Install No Installation • Prerequisite Leaves No Footprint Leave No Footprint No Dependancy • DNA Health Check Performed Deliver in a Few Days No Footprint
  • 47. What Results will it Provide? • • • • • Calculates Network Bandwidth Requirements Consolidation Potential & Placement Scenarios System & User Traffic Reduction & Optimization Sizing Parameters for Servers, Storage & Network Data Points for Cloud / Lotus Live • Interactive Slide Deck • Linked to Common Spreadsheets & Check Lists • Recommendations • Presented Live • Along with Explanation & Interpretation of Analysis Results by Subject Matter Expert
  • 48. What can you do with the results? • IT Director / CIO: • Executive Decision-Making Support • Validation of Business Cases & Vendor Proposals • Effective Realization of Cost Reduction • Project Manager & Teams: • • • • Input for Business Case & Project Proposal DNA Facts & Findings Help Focus & Prioritize Define Service Levels Use Sizing Parameters for RFP’s
  • 49. DNA Source Code Analysis: • Service Offering • Multi Dimensional Insight into Entire Application Landscape » All Design Elements » Source Code • Real Impact of Application Landscape on Platform Migration » Factual Quantification of Migration Effort for Redevelopment » Identify Applications that Depend on Notes Mail • Data Collection -> Analysis -> Reporting • Executed Remotely by Trust Factory • Prerequisite • DNA Health Check Performed ZEROImpactmeans: Zero Impact: Impact means: Nothing to Install No Installation Leaves No Footprint Leave No Footprint No Dependancy Deliver in a Few Days No Footprint
  • 50. What Results will it Provide? • Complete Inventory of De-Duplicated Design & Source Code • List of Applications that will Break after Migrating Notes Mail away from Domino • True Migration Effort based on Cocomo II • Interactive Slide Deck • Linked to Common Spreadsheets & Check Lists • Recommendations • Presented Live • Along with Explanation & Interpretation of Analysis Results by Subject Matter Expert
  • 51. What can you do with the results? • IT Director / CIO: • Executive Decision-Making Support • Validation of Business Cases & Vendor Proposals • Develop Innovation Strategy • Project Manager & Teams: • • • • Input for Business Case & Project Proposal Remediate Apps & Code Interacting with Notes Mail DNA Facts & Findings Help Focus & Prioritize Consolidate Source Code
  • 52. Upcoming: panagenda iDNA The In-house Version of Trust Factory‘s DNA Service http://www.panagenda.com/en_uk/idna
  • 53. Instant and Ongoing Analytics for Servers, Clients, Apps & More • Unique Insights and Instant Value • Executive Decision-Making Support • Validation of Business Cases & Vendor Proposals • Develop Innovation Strategy • Turn Data into Knowledge • • • • Hassle-free data collection from many different data sources Instantly turns your data into meaningful reports Move from reactive to proactive operations Helps to fix, foresee and prevent problems with root cause identification • Gain answers to questions you never knew you could ask
  • 54. Instant and Ongoing Analytics for Servers, Clients, Apps & More • Facts and Architecture • Up and running in half an hour - turnkey virtual softwareappliance (Linux/VMWare) • Non-intrusive, agent-less software - no installations required on analyzed systems • Data ware house access possible for data use with existing reporting solutions • HTML5 and PDF export for offline reports
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  • 67. How to Engage • Master Agreement is in Place with IBM since 2003: • Global Master Agreement Number: • Trust Factory Supplier Number: • panagenda: • • • • 4902NL0239 1000216663 Schreyvogelgasse 3/10 :: 1010 Vienna :: Austria Web: http://www.panagenda.com Email: office@panagenda.com Fax: +43 1 89 012 89 – 15 • Our business partners in Italy: