Managing Challenges In Your JDA Environment

1
Spinnaker Proprietary & Confidential 2015
All Rights Reserved
All Rights Reserved
1

2
All Rights Reserved 2
• Introductions
• Back to Basics: JDA SCM Solution Overview
• Common JDA Performance Challenges
• The Impact of Solution Maturity
• What If?
• Simple Techniques to Conquer Performance Challenges
• Advanced Approaches for Performance Improvement

3
All Rights Reserved
Speakers
Yannick Germain
• Founder of Germain Software and high
technology professional with over 15
years of experience in software
development, systems performance,
and scalability engineering.
• Spent eight years at Siebel Systems,
three of which were spent developing
application modules for the Siebel Field
Service and Call Center product lines,
and the remaining five of which were
spent on performance and scalability
engineering projects for the core Siebel
Enterprise product lines.
Ken Poore
• Supply chain professional with over 16
years of experience in systems design,
implementation, and performance
engineering working directly with
customers in a consulting capacity
through the full software cycle.
• Background as a technical lead,
technical developer, database
performance lead, support lead, and
project manager with supply chain
planning tools provides him with a
perspective uniquely suited to manage
cross-functional teams required to
deliver SCM solutions.

4
Back to Basics

5
• MultipleTier Architecture
– Allows for scalability
– Allows for disaster recovery
• Numerous Configuration Options
– Web ServerTier
• Load Balancer
– Application ServerTier
• Oracle Weblogic, IBMWebsphere
• Clustered and Non-Clustered
– DatabaseTier
• IO Configuration
– AlgorithmTier
– Network Tier
– Web ClientTier
JDA Architecture Overview
Web AccessTier
Load Balancer
Application Server 2
Application
Server Tier
Application Server
Administrative Node
Process
Execution
JDAEAS Algorithm Tier
DataBase
Oracle Database

6
• The JDA Application is often just one part of an ecosystem of planning and
execution systems
– ERP, TMS, BI,WMS, UPD, OTC
– Other Systems
• Performance problems and the need to monitor exists at every level
The Supply Chain System Ecosystem
JDAERP
BI
Reporting
TMS
WMS

7
Clients that own JDA often experience a host of common performance related
challenges
• Maintaining Performance across various levels of complex, multi-tiered deployments
• Providing consistent performance for batch and online processes even when volumes
change over time
• Identifying the source of performance issues when they occur and providing a
mechanism to clearly identify and quantify performance expectations
• Creating a mechanism to determine when performance maintenance is warranted for
the continuous care and feeding of the system
• Creating a methodology to quantify results to determine when and where incremental
resources may be required.
Common JDA Performance Challenges

8
As the solution grows, quite often so
does solution complexity and
performance requirements
• New Modules
• New Solution Enhancements and
Customizations
• New Data Structures and Custom
Objects
– Increased DataVolumes
– Increased Planning Horizons
– Obsolete Data
• Increased User Counts
• New and Competing Processes
The Impact of Solution Maturity
Solution Growth
Complexity

9
There is no performance Panacea, but what if?
 You had the power to determine the real performance of your JDA system?
 You had the ability to identify performance bottlenecks before they caused major issues?
 You had the foresight to know well in advance when additional hardware was needed?
 You had the ability to generate meaningful performance metrics to drive maintenance,
cleanup and future expansion investments?
 You had the ability to measure key business changes over time?

10
• Define a measurement infrastructure that extracts and maintains a history of
critical performance metrics
• Determine expected batch windows and performance expectations
• Understand the implications of the functional impact of technical processes
• Establish SLAs and maintenance processes to maintain optimal performance
• Optimize batch from the start: Archival and Maintenance, Imports, Exports,
Process Execution
• Include backup and recovery timeframes as a part of your performance design
Simple Techniques to Conquer
Performance Challenges
Design the Solution with Performance In Mind
Future Performance Requirements Should NEVER Be An Afterthought!

11
Gather the Right Performance Metrics
• Categorize custom tables
• Categorize custom scripts
– Business purpose
– Technical (maintenance, daily, monthly)
• Table sizes over time
• Table/report usage
• Number of users actively on system (cluster)
• Individual script performance
• Script errors over time

12
Analyze the Metrics
• Experts
• Tools (Spinnaker Scorecard)
DevelopTask List
RankTasks
• Impact to business
• Implementation Duration
• Costs

13
Perform Routine Maintenance
• Daily
– Invalid data during loads / processing
• Weekly
– Script run time trends
– Monitor software vendor tickets
• Monthly
– Script run time trends
– Log file analysis
– Log file removal and growth
• Quarterly
– Online screen performance trends (base line updates)
– Data volume analysis (outliers)
– System support business goals analysis
– Software vendor patches
• Annually
– Data volume analysis (holistic)

14
• Spinnaker leverages Germain Software’s APM Suite with the JDA
plug-in to perform comprehensive supply chain application
performance monitoring across components, jobs, and scripts.
– Dashboard for the collection and analysis of JDA related performance data.
– Platform to get ahead of performance trends long before they affect the
business
– Pinpoints source of JDA performance issues in real-time
• Develop Performance Profiles for Key Processes including:
– How much CPU and memory specific processes tend to take during
execution?
– Where and how the application tends to conduct much of its processing?
• Is it within the database or process server during batch?
• Is it in the application server, database, process server, or even on the client for
online use
Advanced Approaches for Performance
Improvement

15
• Five Main Components Make Up Dashboard
– Executive Dashboard
– Batch Summary Dashboard
– Technical Trending Dashboard
– Table Fragmentation and Sizing Dashboard
– Business Intelligence Dashboard
Germain Software’s APM Suite with
the JDA plug-in

16
• Designed for upper level management to view the metrics in an
aggregate manner to show how the system is performing on a
weekly, monthly, quarterly, and annual basis.
Executive Dashboard

17
• Provides a comprehensive look at all current and historical batch
run times to perform real time performance analysis or review
performance trends over time.
Batch Summary Dashboard

18
• Designed to show useful metrics and statistics based on the
performance of your custom batch processes.This dashboard can
be utilized for daily operations as well as snap shot reporting.
• Other Related Metrics
• Total DFUS counts
• Discontinued DFUS
• DFUs with no Hist, Fcst, DFUMap,
• DFUtoSKUMapValidation
• Total SKUs counts
• Inactive SKUS
• DFU Stagnation - Last Model Date
• Fcst Overrides by Product group
• Schedrcpts < ohpost

19
• Designed to show useful metrics and statistics based on the
performance of your custom batch processes.This dashboard can
be utilized for daily operations as well as snap shot reporting.
• Batch Analysis
• Run time of base JDA jobs
• Run time of maintenance scripts
• Run time of custom scripts
• Daily start and finish performance against the SLA
• Daily Job Group SLA Performance
• Batch Snapshot to show percentage of job groups
• that comprise the batch
• Job Group runtime comparisons
• Top 10 Job Runtimes
• Percentage of job growth from one day to the next
• Batch Job Listing with runtimes

20
• Random performance of daily batch schedule solved
– Identified scripts with varying run times
– Identified scripts with sensitivity to data volume changes
– Addressed scripts with varying run times and sensitivity to data volume
changes
– Simplified the batch schedule
– Achieved stability and consistency
• Organizational Efficiency Improved
– Monitor system usage by planners
– Monitor overrides entered by brand
– Work collaboratively to build better business processes
– Adjust system to meet user needs
Performance Profiles

21
• 50+ pain points/performance issues impacting business
• Many integrated mission-critical apps (.Net, J2EE, SAP, Salesforce, Siebel CRM,…)
• Big Data, 50-150 Million real-time data points per day analyzed and
stored in Germain APM data mart, 6TB Hadoop
• Many monitoring tools (homegrown, and packaged)
Results: Pepsi, Nestle, Dell (..) chose Germain APM as global APM/
Application Performance Management/Monitoring tool because:
• End-to-end performance monitoring, root-cause analysis
• Code Review, Configuration Audit and tuning Recommendations
• Correlation Engines
• Operational and Management Performance Dashboards
• Unlimited configuration (add any performance analytics, monitoring points within
minutes using Wizards, Rule Editor, etc.)
Application Use Case

22
Business Impact analysis
Transaction breakdown Audit/Security
Code Analysis
SQL<->Transaction Lookup
TransactionTracking
Automated
ActionsEmail alerts
User Experience Monitoring (from Browser)
360 DegreeView

23
All Rights Reserved
Thank you!
Yannick Germain
• ygermain@germainsoftware.com
• 415-946-4048
Ken Poore
• Kpoore@spinnakermgmt.com
• 504-460-6751
For Inquiries
• Grant Goldberg
• Business Development Manager
• ggoldberg@spinnakermgmt.com
• 480-626-2728
23

Managing Challenges In Your JDA Environment

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Viewers also liked

Viewers also liked (14)

Similar to Managing Challenges In Your JDA Environment

Similar to Managing Challenges In Your JDA Environment (20)

Recently uploaded

Recently uploaded (20)

Managing Challenges In Your JDA Environment