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Fail to Rise
Automation & DevOps Stories
Soumya Mukherjee
Started my career as a Developer and then moved to QA
Love to work on complex problem statements
Creator of multiple QA products
Author of couple of automation books
Co-founder of a consulting company, product company & a certification company
Lead large QA transformation programs in investment banks
Expertise in reducing QA cycle time & Release Engineering
Loves to work for the Community & Open Source projects
Father of a lovely Daughter
About me
You can reach me on
bit.ly/twsoumya
bit.ly/lnsoumya
All my stories are linked with the
Delivery & Learning associated
with it
Java was my
primary coding
language but the
first production
level job was in
.NET
Continuous Learning
Exhaustive
Testdata was
prepared for all
combinations of
fields in the
application
Optimal Test Data
(test your field atleast once)
Poor code
coverage
Most of the production defects
come because of your uncovered
code
(Code instrumentation)
Automation
Scripts are only
executed in Local
Entire pack should run once a
week to ascertain stability
(scripts that runs always on local
are flaky)
In organizations
each team make
their own
framework
(tightly coupled)
Abstract Framework from
Implementation
In organizations
each team use
different tool for
automation
Standardize Tools & Frameworks
(end to end run)
No idea who all
are creating &
executing the test
scripts
(multiple browsers / platforms)
Central Logging & Reporting
1000 API tests
run 4 hours OR
1000 UI tests run
for 2 days
(multiple browsers / platforms)
Classic Problem - Scaling
Distribution of tests across containers, Dependency Management
Sequential
execution of tests
in the pipeline
(Api, UI, Perf, Security)
Parallelism Problem
No one stops to parallelize
Intelligent probes & checks are
required to manage pipeline
High build time
of the project
(45 min build/commit)
Build the code in chunks
Don't compile the pre-compiled
Building
containers each
time, porting the
code & store the
containers in
ECR
Underlying container not
changing deploy in the same
container (IAC)
No
Containerization
&
Headless
execution
Containerization save system
resources
&
Headless execution are faster
Thank you
bit.ly/twsoumya
bit.ly/lnsoumya

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Fail to Rise - Automation & DevOps Stories