Con-way Case Study: Optimizing Application Integration Software Development Lifecycle

Ram Vittal

DOX05S @ramgvittal #CAWorld

Con-way Principal Enterprise Architect

DevOps

Optimizing Application

Integration SDLC

Presented by – Ram Vittal

Principal Enterprise Architect

App Integration SDLC History

• 10+ years app development

• 100+ apps in production

• Manual testing results in outages

• Test Automation tool selection

• Test Automation Pilot

• Recognizing SDLC Constraints

• Service Virtualization Pilot

Agenda

• About Con-way

• IT App Overview

• IT App Integration Overview

• App Layers and SDLC

• App Dev/Test Constraints

• Pilot Project Use Case

• Pilot Project Benefits

• Q & A

About Con-way

About Con-way

Freight IT App Overview

Freight IT App Integration Overview

Rules and

constraints

TIBCO business

events (BE)

Event cloud

TIBCO

BE Views

Application Layers

SDLC – Dev/Test

App Dev/Test Constraints

• Time for test automation

• System availability

• Test data management

• Limited capacity

• High complexity

Pilot Project Use Case

• On-demand inspection planning (ODIP)

• Shippers often incorrectly classify shipments resulting in

revenue loss for Con-way.

• ODIP solution will predict which shipments are most likely to

be misclassified and yield additional revenue.

Classifying Freight

Freight classification

• 18 freight classes

• Weight

• Length

• Height

• Density

• Ease of handling

• Value

• Liability from theft,

damage, break-ability

or spoilage.

Freight class 50

Freight class 500

Incorrect Freight Classification

Classified as 50

Sample rate = $47.98

20 CWT x 47.98 = 959.60

Should be 500

Sample rate = $409.32

20 CWT x 409.32 = 8186.40

2000 lb. Shipment

20 CWT (hundredweight)

7226.80

ODIP and System Dependencies

ODIP

CIS LOC

Rating SCO SMART

CORR

Billing Shipment

VS SCO VS

Shipments

SHM EQP

Shipment VS

Linehaul VS

Model X Model Y Model Z

Pkup rqst

Pickup VS

CIS

SHM

Shipment

Java Service

Shipment

inspection

Java service

FBES

CORR

SMART

SCO

Shipment

canonical

service

Shipment

event

publisher

Navigator

Mobile

Shipment

event VS

Shipment

VS

Canonical

Shipment

Java VS

ODIP System Under Test ODIP System Dependencies

ODIP SDLC – Shifting Left

CA Application Test for ODIP

• Unit testing TIBCO and Java Services

• Integ. testing TIBCO BE w/ virtual services

• Perf. testing TIBCO BE w/ virtual services

• Perf. testing critical components w/ live sys

• Virtual services uses custom framework

• Setup scenarios on-demand/state mgmt.

Shipment Event Virtual Service

Con-way CA Service Virtualization Manager

Con-way CA Service Virtualization Manager

ODIP Functional Test with VS

ODIP Performance Test with VS

Benefits

Saved two months of development/testing

Reduced complexity for development/testing

Identifying and fixing bugs became easier

Provided high-availability for constrained services

Achieved component level performance testing

Eliminated capacity constraints for performance testing

Identified performance issues earlier in SDLC

Repeated performance test several times

Reusable virtual services for other projects

ODIP Pilot Project Scorecard

Metric Pre Post Benefits

Service Virtualization

Integration test system availability Low High • Direct dependencies are virtualized provided

very high system uptime

• Test data scenarios were setup in spreadsheets

and Oracle DB improving coverage and

accuracy.

Integration test data coverage and accuracy Low High

Integration Testing

Scenarios validated during development Low High • “Shift left” of testing

• Better code quality/lower bugs

• Increased developer productivity

• Released with confidence Phase in which all systems get tested SIT Development

Load and Performance Testing

Throughput achieved 100 bills/hour 50,000 bills/hour • Performance issues identified during

development phase

• Cost savings in resolving issues identified

earlier in cycle

• Ability to test through various load scenarios

• Ability to test performance at a component level

Number of cycles executed 1 10/on-demand

Number of issues identified Small Large

SDLC phase in which L&P testing done Post SIT Development

Service

Virtualization

CA Technologies

DevOps

Simulation

Experience

CA Technologies

Related Technologies

Parallel

Application

Development

CA Technologies

DevOps

Assessment

CA Technologies

For More Information

To learn more about DevOps, please visit:

http://bit.ly/1wbjjqX

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ensure it links to correct page DevOps

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