This presentation focuses on the concepts around Capacity Management. Capacity Management is a process whose objective is to ensure availability of infrastructure at the right price, at the right time at the right cost to ensure the system delivers performances as documented in the Non Functional Requirements.

1. Fundamentals of Capacity Management
Practical Performance Analyst – 5th August 2012
http://www.practicalperformanceanalyst.com

2. Agenda
Performance Engineering Life Cycle
What is Proactive Performance Management
Holistic View of Performance
What is Capacity Management
Capacity Management Process Input & Output
On-going Capacity Management Process
Why is Capacity Management Important
Capacity Management Process
Challenges involved in setting up Capacity Management
Deliverables for the Capacity Management process
Resources & tools for Capacity Management

3. Performance Engineering Life Cycle
Software Development Life Cycle
Functional Requirements Gathering
Architecture & Design
Build Application
System Test,
System Integrated Test & UAT
Deploy Into Production
Performance Engineering Life Cycle
Non Functional Requirements Gathering
Design for Performance &
Performance Modelling
Unit Performance Test &
Code Optimization
Performance Test
Monitoring & Capacity Management

4. Proactive Performance Management
Performance Requirements Analysis
Performance Modelling & Capacity Planning
Build & Optimization
Performance Testing
Performance Monitoring
Capacity Management
Proactive Performance Management helps by –
Identifying performance issues early in the design
Validate suitability of your application architecture for your documented NFR’s
Validate your application capacity requirements for the documented NFR’s
Advocates early SVT to identify potential bottlenecks early in the build and development cycle
Reduces potential for major rework later in the program
Advocates using modelling techniques to predict performance impact for growing workload

5. Txn Performance
- Response Times, etc.
Application Performance – Operations/Sec, Messages/Sec, Transactions/Sec, etc.
Infrastructure Performance – CPU Utilization, Memory Utilization, Disk IOPS, etc.
Network Performance – Packet Loss, Jitter, Packet Re- ordering, Delay, etc.
Holistic View of Performance

6. What Is Capacity Management
Capacity Management is a process whose objective is to:
Ensure optimal utilization of underlying application infrastructure
Plan and procure appropriately sized infrastructure at the right time and the right price
Recommend additional Infrastructure requirement to meet growth in Business Workload
Capacity Management is a functional generally provided by the IT team within the enterprise with input from business on upcoming business initiatives and growth in user volumes (Business Workload)
Capacity Management uses a combination of different modelling techniques (Statistical, Analytical, Simulation) to model performance of the application and predict infrastructure impacts
Capacity Management recommends proactive review of Business & Infrastructure Workload proactively so as to recommend the right amount of infrastructure required to meet the NFR’s & SLA’s
Capacity Management has traditionally been performed using Excel sheets. For complex multi-tier applications with large volumes of Workload Data (collected over weeks and months) Excel breaks down. COTS and home grown tools are generally recommend in this case.
Management is generally performed using sophisticated tools which allow for modelling of Workload data (Business & Infrastructure) using a combination of different modelling techniques to forecast performance and capacity impacts

7. Process Input
Process Output
Sub Process
•Business Workload (Txns/Hour, Msgs/Hour, Workflow/Hour, etc.)
•Infrastructure Workload (CPU Utilization, Memory Utilization, etc.)
•Application Architecture
•Performance & Scalability Challenges
•Business Growth Forecast
•Resource Capacity Management
•Service Capacity Management
•Business Capacity Management
•Application Performance Models
•Capacity Management Reports
•Application tuning and optimization recommendations
•Infrastructure recommendations
Capacity Management Process Input & Output

8. Plan
Model
Analyse
Optimize
Monitor
On Going Capacity Management Process
Ongoing Capacity Management requires:
Planning the whole process, identifying and collecting relevant workload data
Creating relevant Performance Models for your different applications and application tiers
Analysis of the modelling results and prediction based on growth in business workload
Tweaking & optimizing your models based on learning from Performance Test and data obtained from production
Monitoring application performance, capacity utilization based on growth in workload

9. Why Is Capacity Management Important
Capacity Management is important for the following reasons –
Ensures IT sizes & procures the right amount of infrastructure at the right time at the right price
Ensures that applications have the infrastructure & computational resources required to meet their NFR’s
Ensures that Infrastructure Capacity is optimally utilized across the different business critical applications
Ensures that IT is proactively monitoring Growth in Business Workload with the objective of identifying potential Infrastructure Capacity impacts
Ensures that Business has a scalable platform in place to meet growth in customer volumes and allows for short time to market for new business initiatives
Prevents fire fighting caused due to lack of required infrastructure capacity in production possibly caused due to a surge in Business Workload and customer volumes
Ensures that IT and Business are able to deliver the expected end user experience

10. Capacity Management Process
Understand Non Functional Requirements
Understand Service Level Agreements
Identify Business Workload for your Applications
Identify relevant Infrastructure Workload for your applications
Extract Business Workload Data for your Application from Production
Extract Infrastructure Workload Data for your Application from Production
Determine Modelling Approach (Statistical, Analytical, Simulation)
Create Performance Models for your Application
Obtain Business Workload Forecasts
Forecast Infrastructure & Performance Impacts for increase in Business Workload
Provide Recommendations. Measure, Monitoring, Predict & Manage.

11. Challenges involved in Capacity Management
Challenges understanding Business Workload
Challenges extracting Business Workload data from Applications in production
Challenges extracting Infrastructure Workload data from Monitoring tools
Challenges obtaining clean Workload data in a format that can be used for purposes of modelling
Challenges obtaining Capacity Management solutions that can be used for on-going Capacity Management
Challenges convincing clients on the usefulness and reliability of the modelling techniques
Challenges obtaining data on a regular basis for purposes of Modelling & Capacity Management

12. Deliverables – Capacity Management
Following would be the deliverables for Capacity Management -
Non-Functional Requirements Document
Workload Models – Business Workload & Infrastructure Workload
Performance Models for your production applications
Capacity Management Report

13. Resources & Tools
BMC Capacity Management - http://www.bmc.com/products/product-listing/capacity-optimization.html
CA Capacity Manager - http://www.ca.com/us/capacity-manager.aspx
TeamQuest Capacity Management - http://www.teamquest.com/products-services/teamquest-performance- software/index.htm

14. Thank You
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