1.
Graph QL for CICD Integration
Arunraj Karnam,
Performance Test Engineer,
Cognizant Technology Solutions.
© 2020 Cognizant
Authors:
Vivek Rajagopal,
Performance Test Engineer,
Cognizant Technology Solutions.

2.
© 2020 Cognizant
Contents
• Execution Challenges
• GraphQL
• Implementation
• Major Challenges addressed
• Other Benefits

3.
© 2020 Cognizant
Execution Challenges
“Stand alone executions will have problem of losing track
and make them accountable for either Shift Left or Shift
Right processes”
“Test data preparation took 1-2 hours per test based on
complexity and requires manual updates into the CICD
Pipeline.”
“Customer requirement kept changing and ~6 load tests per
day were executed. Manual intervention for test data has
actually delayed the whole CICD process”

4.
• A modern ways of building and
querying APIs
• It uses REST Technology
• It is String interpreted by a Server that
returns data in a specified Format
• GraphQL server Expose single
Endpoint
• Enables Declarative Data Fetching
GraphQL
© 2020 Cognizant

5.
Implementation
• Create a GraphQL
project
• Deploy it into a
Web server Via
Repo
• Verify the same
through browser
• Replicate the same
and integrate in
Jmeter
• Once execution is
started, Test data’s
will be extracted
from the GraphQL
response
© 2020 Cognizant

6.
© 2020 Cognizant
Major Challenges addressed
Running Performance tests
across various environments
Externalizing the environment
Clean up run
generated time
files
Building scalable data-driven script
without learning distributed systems
Accountable in Shift Right or
Shift Left model

7.
Other Benefits
• Increasing code quality and ensuring the performance is addressed at the
component level itself
• Reduction of 10-20% hours for test data preparation per test based on the
script complexity
• Using the Azure DevOps the nightly jobs can be executed
• No Over fetching or under fetching the data
• Number of JMeter code check-in's will be reduced, except script changes if
Required
© 2020 Cognizant

8.
Thank You