Deploy With Confidence Minimize risks Improve business output Optimize resources.

Deploy With Confidence

Minimize risks

Improve business output

Optimize resources

3 ©2002 Mercury Interactive Corporation www.mercuryinteractive.com

The Application Lifecycle

SYSTEM PERFORMANCE

O B J E C T I V E S

DEVELOP OPERATEDEPLOYTESTPLAN

IT GOVERNANCE

DEVELOPMENT

APPLICATION READINESS

BUSINESS AVAILABILITY


Deployment Complexity

DATABASEAPP SERVERWEB SERVERNETWORK

Sessions

Connection

DNS

Latency

Throughput

Virtual Machine

Customize Code

Indexes

SQL Call

SECURITY

Encryption

Firewall

LOAD BALANCER

Legacy

CRM

APPLICATION ERP

No system-wide perspectiveSignificant time pressure


of deployed applicationsare rolled back

Gartner

50%

Deployment Risks

40% of software projects fail to

meet business objectivesGiga

75% of new ERP/CRM rollouts use more

hardware to fix performance AMR


When to Optimize/Tune

Initial Rollout Projects

New Geographies

User Expansions

System Integrations

Shared Infrastructures

OS, App, System Updates

Optimization Methodology


Our Optimization Methodology

Phase-driven approach to Performance Optimization

Phase 4:Report

Phase 3:Optimize

Phase 2:Baseline

Phase 1:Plan & Organize

Fully Plan the projectOrganize the Team

Quantify the SystemPerformance

Iteratively Isolate andEliminate Performance

Bottlenecks

Assess the PerformanceImprovements

and Report


Determine Business Objectives

(Phase 1)

Business Objective System Metric Goal

Scale the system to additional users

Concurrent Users >5,000

Increase orders processed Transaction Rate >1000 TPS

Decrease User Wait time Response Time <10s

Decrease incomplete transactions

Error Rate <2%


Organize the Team (Phase 1)

• Most problems result from interactions between components

• Team structure streamlines analysis and diagnosis

Ap

plic

atio

n

Net

wo

rk

ProjectProjectManagerManager

DBA

Silo-centricCross Discipline Team

Sys Admin

NW Admin

AppArchitect

Dev QA

ProTuneSpecialist

Dat

a B

ase

Plan


Apply Controlled Load

ProTune

Baseline the System (Phase 2)

Application Tier

ApplicationServers

StreamingMedia Server

Infrastructure Tier

Firewall

Web Servers

Load Balancer

Firewall

Database Tier

DatabaseServers

Storage

Distributed System

Gather Metrics

Measure Performance …

~~~~~~

SelectBusiness Processes


Compare Results to Targets (Phase 2)

Business Objective System Metric Goal Baseline


Concurrent Users >5,000 1,000

Increase orders processed

Transaction Rate >1000 TPS 400 TPS

Decrease User Wait time

Response Time <10s 20 s


Error Rate <2% 5%


Optimize the System tier by tier (Phase 3)

• Diagnose by logical tiers

• Employ component library tests for infrastructure tiers

• Create specific tests for application and database tiers

ProTune

Application Tier

ApplicationServers

StreamingMedia Server

Database Tier

DatabaseServers

Storage

Infrastructure Tier

Firewall

Web Servers

Load Balancer

Firewall

GatherMetrics

Measure Performance …


Iteratively Analyze each Tier (Phase 3)

Infrastructure Tier

ApplicationTier

DatabaseTier

~~~~~~

Develop TargetedLoad Tests

Firewall

Web Servers

Load Balancer

Firewall

ProTune

Controlled Load to Isolate Component

~~~~~~

Analyze Results andRecommend Changes

Validate Fix

Client ExpertImplement Fix

Move to next

Constraint

Optimize


EJB - Latency Breakdown


EJB - Throughput Distribution


Re-run Baseline and Assess (Phase 4)

• Quantify improvements

• Deliver Executive and Detailed Reports

Business Objective System Metric Goal Baseline Final


Concurrent Users >5,000 1,000 5,000

Increase orders processed

Transaction Rate >1000 TPS 400 TPS 1,200 TPS

Decrease User Wait time

Response Time <10s 20 s 8s


Error Rate <2% 5% 1.5%


Introducing

ProTune

• Validate performance

• Optimize configuration

• Verify alignment with business objectives


Safe Deployment System™

(SDS)

Overload Protection

DB SERVERS

WEB SERVERS

APP SERVERSNETWORK SECURITY

Systematic Identification

Problem Isolation

Expert Recommendations

Automated Improvements and Validation

LOADBALANCER

Including


MONITOR MONITOR MONITOR

MONITOR MONITOR MONITORMONITOR

LO

AD

G

EN

ER

AT

OR

S

How It Works

CONSOLE

1. Mapped topology

2. Auto-Assigned monitoring

3. Business process emulation

4. System component validation

5. Problem detection

6. Recommended configuration

7. Automated checklist• Repeated validation• Audit trail


Our Experience and Track Record

• Over 3000 Optimization Engagements

• Average Results (performance improvements):

• ERP Systems – 100%

• CRM Systems – 150%

• Web andJ2EE – 400%

• Complex C/S – 200%


Electronic Ticketing System Improves Throughput by 10x…

The Case– E-ticket system required throughput of 400 tickets/hr

– Web-based application, Oracle database, SABRE system integration

The Findings– Infrastructure Configurations:

• Routers improperly configured, insufficient bandwidth, and insufficient file descriptors for Web Servers

– Application Code Defects• Isolated JAVA code null pointer exception

The Results– Increased system throughput by 10x from 270 to over

3000 transactions/hour

…and booked

over $1M per

day with no

down-time.

Deploy With Confidence Minimize risks Improve business output Optimize resources.

Documents

Transcript of Deploy With Confidence Minimize risks Improve business output Optimize resources.