top 15 key performance indicators for emc documentum

Post on 18-Dec-2014

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Learn the top 15 server health, performance and processing metrics to monitor to gain an overall picture of the health and performance of your Documentum environment including: Performance Metrics 1. End-User Response Times: Gain objective SLA information 2. Content Repository Transaction Performance: Know if repository operations are performing at peak levels 3. Database Query Performance: Understand performance level of database 4. Application Interface Transaction Performance: Know if DFC/DFS /REST/CMIS operations are at peak performance Processing Stats Metrics 5. End-User Transaction Counts: Understand application use by knowing distribution and frequency 6. Application JVM Session Counts: Determine load across application instances 7. Repository Session Counts: Ensure proper operating levels 8. Process Queue Levels: Understand server load to identify potential processing bottlenecks 9. Process Results: Identify problems with workflow 10. Transaction Queue Levels: Understand server load to identify potential processing bottlenecks 11. Rendition Processing : Verify successful transformation of test documents 12. Indexing Queue Levels: Understand server load to identify potential processing bottlenecks 13. Process Results: Identify problems with indexing processes Server Health Metrics 14. Available Repository Storage: Ensure continuous document storage 15. CPU and Memory Usage: Track over time; gain insight into server capacity and performance Application Performance Management helps by discovering performance issues before user community productivity is affected and reducing MTTR and automating remediation. Combined, this ensures continuous availability, user productivity and that SLAs are met. Reveille for Documentum improves service levels by reducing support and management costs, increasing end-user productivity and ensuring regulated and document production. Learn more. Take a Product Tour: http://reveillesoftware.com/product-tour/

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Top 15 KPIs for… EMC® Documentum

user/ReveilleSoftware

@ReveilleSoftwre

company/Reveille-Software

First… What Do You Know About YOUR

Documentum System?

3

• Do you have insight into processor load, memory consumption and disk space?

• Can you determine overall server health?

• Do you know if your Documentum system is available?

• How many users are actively using the system?

• What transactions are they running?

• Is your system operating at its peak?

• How long does it take for a user to check out a document?

• Are you meeting end customer SLAs?

Without Deep Documentum Insight...

Significant time is spent

troubleshooting and firefighting

and….

fines and lost revenue can result

and….

Capacity planning/chargeback is subjective

4

Top 10: Server, Processing & Performance

KPIs for Documentum

Keep Your Documentum Environment

Healthy with these 3 types of metrics

Performance

Processing Stats

Server Health

6

7

Performance

KPIs 1-4

End-User Response Times

Gain objective SLA information

Content Repository Transaction Performance

Know if repository operations are

performing at peak levels

Database Query Performance

Understand performance level

of database

Application Interface

Transaction Performance

Know if DFC/DFS /REST/CMIS

operations are at peak performance

8

Processing Stats

(Client Application)

KPIs 5-7

End-User Transaction

Counts

Understand application use by

knowing distribution and frequency

Application JVM Session Counts

Determine load across application

instances

Repository Session Counts

Ensure proper operating levels

Indexing

KPIs 12-13

Indexing Queue Levels

Understand server load to identify potential processing

bottlenecks

Process Results

Identify problems with indexing processes

Trans-formation

KPIs 10-11

Transaction Queue Levels

Understand server load to identify potential processing

bottlenecks

Rendition Processing

Verify successful transformation of test documents

Workflow

KPIs 8-9

Process Queue Levels

Understand server load to identify potential processing

bottlenecks

Process Results

Identify problems with workflow

Pro

cessin

g S

tats

10 10

Available Repository

Storage Ensure continuous document storage

Server Health

KPIs 14-15

CPU and Memory Usage

Track over time; gain insight into server capacity

and performance

How APM Can Help

11

Discover performance issues before

user community productivity is

affected

Reduce MTTR & automate

remediation

Continuous availability,

user productivity & SLA’s met

APM =

Application Performance Management

How Reveille for Documentum Can Help

12

Improved Documentum

Service Levels

Reduced Support and Management Costs

•Reduce issue resolution times (MTTR)

•Boost application uptime

•Objective KPI’s for capacity planning / chargeback

Increased End-User Productivity

•Understand service level baselines

•Ensure end customer SLA’s

•Accurate, objective SLA reporting for IT and business stakeholders

Ensure Regulated Document Production

•Reduce potential for fines due to system downtime

Thank You

Take a Product Tour:

http://reveillesoftware.com/product-tour/

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