The need to build a strong automation strategy to meet DevOps objectives
Enterprises
have taken to digital transformation in a big way in order to meet the rising
customer demand for better products and services. The need of the hour for them
is to remain competitive by reaching the market faster with quality products.
In fact, pursuing the latter objective holds much more significance in meeting
customer expectations. Given the plethora of choices customers have they may
like to expand the product range and try out new offerings.
However,
the products they are likely to stick with will be the ones that are well
tested and quality assured. The advent of DevOps has been to address the twin
supposedly opposite objectives of ensuring faster product cycles and quality.
The thought process behind DevOps is to include all the stakeholders in an
enterprise, namely Development and Operations to include ‘quality’ into their
rigmarole. As a successor to Agile, DevOps goes a step further in following testing
as a part of the development sprint.
DevOps
talks about continuous integration and delivery of products through continuous
testing. According to this approach, a product needs to be evaluated on the
yardstick of quality throughout its usage cycle. Thus, not only a product
should go through rigorous quality testing during its development phase but
even when it is being used by the customers. As applications become more
complex they are needed to be updated from time to time. And carrying out such
upgrades in real time is one of the crucial features of continuous testing a la
DevOps.
The
demands of faster release cycles and continuous testing have necessitated the
use of DevOps test automation.
However,
DevOps test automation can go
wrong as well if not followed through by using the right automation strategy.
Besides, the initial costs of automated DevOps
testing can be intimidating for enterprises. Many organizations end up
spending a considerable amount of time, money and effort in implementing the
automation of DevOps quality assurance. However, when it comes to realizing the
fruits of DevOps they often end up getting scalded. The objective should be to
build a strong automation strategy to address the need for continuous
integration and delivery.
Why is a strong automated DevOps quality assurance strategy
needed?
Realize CI/CT goals: To achieve a faster product development cycle, the code must be
tested throughout the SDLC phase and beyond. Only test automation can achieve
repetitive testing of variables across systems, platforms, frameworks,
browsers, geographies and networks.
Reduces QA costs: Notwithstanding the high initial cost of deploying a suite of test
automation software, it can have myriad advantages. These range from the reuse
of scripts and the requirement of fewer testers to a better identification and
elimination of glitches, and increasing the throughput.
To set the right test cases: It is not possible to automate every single
process. The key is to identify the areas and processes where the automation of
DevOps software testing can bring viable results. Moreover, keyword based tests
can work better and faster as opposed to a complex script based test automation
software. The areas that are needed to be chosen as test cases can cover
repetitive tests, high risk, large data sets, and testing across browsers,
platforms, and environments.
Early testing: DevOps testing specialists can write test scripts
alongside developers. This results in an early detection of bugs and subsequent
cost savings due to the absence of any rework. On the other hand, the late
detection of bugs can result in significant cost escalation in altering the
code from scratch.
Future proofing: Many times, DevOps testing
specialists change the testing architecture or the tool to meet the
testing requirements of the day. This can have an impact on the costs. The test
automation process should choose a tool that is platform agnostic.
Transparency: Test automation includes the use of a better reporting mechanism.
The scripts, variables, objectives and outcomes are shared across the dashboard
leading to transparency. The test results, be it in the form of a success or
failure, are available for viewing by each and every stakeholder.
Conclusion
By
adopting the right automated DevOps
testing strategy, quicker product development and deployment
cycles can be achieved at cost effective rates. The challenge is to write
automated test scripts that stay relevant over a period of time.
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