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| Continuous Delivery |
The
ecosystem that drives application development has become increasingly
competitive. This is due to a host of factors such as shifting customer
loyalties, rapidly changing technologies, and cost imperatives. Companies, in
their quest to achieve digital transformation and reach customers in the best
possible manner, want to deploy applications that are rich in features, robust
in functionalities and cheaper in cost. Since the traditional waterfall model
of developing, testing and deploying software is found to be inadequate in
addressing the above mentioned concerns, companies are embracing the Agile and
DevOps model of development.
To
achieve the continuous delivery of software, the development team should entail
continuous integration. This would mean integrating the codes early on in the
SDLC instead of waiting at the end of the development sprint. The approach can
identify and resolve conflicts or glitches early rather than spending a
considerable amount of time on carrying out regression testing later. Following
continuous integration early on in the SDLC helps the DevOps testing team to
better understand the code, features and functionalities.
What
is continuous delivery all about?
The
process entails making changes in the application at any stage of the SDLC
without impacting the quality of the product or its user experience. The
changes can include adding new features and functionalities, fixing glitches,
or changing the configuration.
The
way forward
- The changes that need to be incorporated into the software are broken into smaller components or steps.
- To fix glitches, the developers receive feedback from the test team within the sprint. The test team, on its part, comes to know about the changes/glitches from a host of automated tests – regression, usability, performance etc.
- Any new feature to be incorporated in the software may need additional testing for validation before its eventual deployment.
How
to create a continuous delivery pipeline of software?
In
order to create a continuous delivery pipeline, the glitches need to be
identified and removed at the earliest. And since an application has multiple
interfaces with devices, networks, operating systems, platforms, and
frameworks, the interfaces should be tested threadbare. This is important to
provide a rich customer experience – the ultimate arbiter to generate revenue.
The complexity of testing a software across devices, networks, operating
systems, and platforms would call for using test automation. The first step
towards that is to create a robust test automation suite.
Running
test automation: To
ensure DevOps continuous integration, the automated tests should run for each
and every change that has been made to the application. This includes running
test not only for the main branch of the application but other branches to
ensure glitches are captured early and removed. The test team can start with a
few tests such as unit test, integration test, acceptance test and usability
test among others. To address such considerations, one can make use of the
on-premise systems or the cloud. The best part of running an automated test
suite is its vast coverage area and the speed of executing repetitive tests.
Integrate
early: The
first part of carrying out test automation is building a test culture where the
test team adds the features/changes to the main arm of the application instead
of the branch(es) alone. Overall, the features should be integrated into the
main trunk of the application as soon as they are rendered elsewhere. Here,
delaying integration would risk the development team to forget adding the
changes to the main branch. And should the number of changes or features
incorporated in the branches be large, the complexities arising out of the same
can become a tough challenge to face. Integrating the changes early would
reduce any conflict scenarios and make it easier to be shared across the team.
Prevent
any break of the main branch: Breaking
the build for the main branch by developers can create unforeseen situations.
These include tackling changes that have been incorporated into the broken
build and preventing application failures. Thus, the test suite should be made
robust enough to give instant feedback or notifications to the developer(s)
should he/she/they end up in breaking the main build.
Write
a test for each and every feature/change: The test team should create automated tests for
each and every feature. The step, instead of appearing to slow down the
development process, will reduce the time spent on regression testing and
fixing bugs. The final codebase will work as per the stated business
objectives.
Conclusion
The
crucial aspect of continuous deployment is to involve the management in testing
each and every feature of the application. If this slows down the release
process at the beginning, it should be pursued to achieve the long term
objective of meeting user expectations.
This
Article is originally published at Medium.com, How
to make Continuous Delivery work for you?

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