Continuous Integration and Continuous Deployment pipeline has become the primary approach in Software Development Life Cycle(SDLC). As a matter of fact, CI/CD pipeline tools have evolved a lot in the past few years.

1. Path To Continuous Test Automation
Using CI/CD Pipeline
Introduction to CI/CD
Continuous Integration and Continuous Deployment pipeline has become the
primary approach in Software Development Life Cycle(SDLC). As a matter of
fact, CI/CD pipeline tools have evolved a lot in the past few years. However, still
developers, QA and other technical peeps find challenges in implementing an
effective CI/CD pipeline. As the name suggests, it allows developers to deploy code
continuously and detect bugs at an early stage and avoid integration issues rising
due to frequent source code commits. This article would further highlight the in-depth
coverage of CI/CD pipeline with the introduction to different CI/CD tools available
and also few salient points for QA to implement a productive CI/CD pipeline. Before
moving forward, let’s clear the basics towards CI/CD pipeline.
What is Continuous Integration?
When a product is in the developing stage, the technical team frequently code, build,
test and deploy features. Continuous integration has been typically adopted to
automate this usual process by developing a script with a motive to detect a change
automatically in the shared repository. Changes can be easily detected
using periodic monitoring, polling or by using a push out mechanism like webhooks.

2. As soon as the changes are detected by the CI tool, the CI platform automatically
pulls a copy of updated code in the CI workspace, builds it, performs unit testing and
compatibility checks to identify code loopholes at an early stage. Continuous
integration has been majorly adopted to ensure integration of bug free code.
What is Continuous Delivery?
Continuous Delivery is the process of delivering bug free features in a safe and
sustainable manner to the staging or pre-production environments. This stage of
CI/CD pipeline elevates the advantages of continuous integration by increasing the
scope of automation testing beyond unit testing.
As soon as the pipeline surpasses the continuous integration operation, the
continuous delivery operation gets triggered to verify application updates across
multiple dimensions (non-prod environment) before deploying to customers. This
process makes delivery predictable and ensures a stable state of code even when
developers are constantly making changes to it.
What is Continuous Deployment?
Continuous Deployment further amplifies the reach of continuous integration and
continuous delivery. It is said to be the final stage of CI/CD pipeline. With continuous
delivery, the continuous deployment enhances a test driven approach to validate the
application on different environments and roll out deployments automatically.
With continuous deployment, every change that passes all the stages of the pre-
production environment is released to the customers i.e. production environment.
Developers can freely focus on building software and in just one click they can see
their work go live once the build is successfully released.
Elements of a CI/CD Pipeline
Let’s categorize the CI/CD pipeline in its own sub-tasks for better
understanding:

3. 1. Change/Update in code
2. Initiate Build
3. Build
4. Validate Build Results
5. Automated Testing
6. Determine Test Results
7. Deploy to Staging Environment
8. QA Testing
9. Deploy to Production
10. Smoke Test
These processes can further vary from team to team and company to company.
CI/CD Pipeline For Test Automation
In an agile model where development and testing are parallely proceeded wherein
the goal is to detect application issues in an early stage to expedite the bug free

4. release of a build. The process of test automation further reduces the testing
efforts and also reduces the amount of time used to get blown in manual testing.
Automation testing always has a place in CI/CD pipeline which can improve team
agility towards automation. At this point of time, it is important to be clear that
automating a CI/CD pipeline and integrating test automation are two different things.
Once test automation is integrated with the CI/CD pipeline, testing then becomes a
foremost part of the pipeline as mentioned above in the CI/CD elements.
Teams can tackle a wide variety of tests using CI/CD pipeline like smoke testing,
regression testing, api testing, load testing, cross browser testing etc. Amongst this,
smoke testing is mostly integrated in pipeline with a goal to perform smoke testing as
soon as a new build is deployed on a particular server.
Ultimately, the purpose of adopting CI/CD pipeline is to generate fast, accurate and
reliable outputs for the entire development cycle. Hence, it is important that the
pipeline smoothly covers the below factors:
 Speed
Continuous integration and deployment is majorly endorsed to get instant feedback.
If the developers have to wait longer for the build to be verified by QA, the flow can
be considered as disrupted. In such cases, developers have to wait for one build to
get verified before moving forward. Hence, CI/CD processes must be configured in a
way where the build can be released at a fast pace without compromising with the
product quality.
 Accuracy
Adopting CI/CD pipeline for automating the deployment process is a great start.
However, it would not be functionally beneficial unless and until the pipeline results
are not accurate and transperent between the deployment process.

5. The more accurate the pipeline is, less human intervention would be required for
monitoring the pipeline process starting from integration to deployment.
 Reliability
Maintaining a reliable CI/CD pipeline enhances the quality and speed of building and
deploying new updates significantly. Reliable pipelines can further ensure a stable
output with the same input without any errors in runtime. In a case where the
workflow changes, the pipeline must remain reliable and resourceful to support the
new updations.
 Comprehensive
A powerful CI/CD pipeline needs to cover as many possible aspects to deploy a build
in a seamless manner. Just a single error can make the entire pipeline process a
disaster. Once the pipeline is thoroughly set up and the development team gets a
comprehensive response, the pipeline can be further optimized with the required
configurations for flawless integration and deployment.
Most Preferable CI/CD Tools
Nowadays, we have a lot of CI/CD tools available in the market which makes people
confused to select the one that is most suitable to the project requirements and
within the budget. To make the selection easy, we have listed below few top most
preferable CI/CD tools with their features:
1. Jenkins
Jenkins is Java based, open source CI/CD tool. Along with continuous integration, its
scope can be extended to continuous delivery. Setting up jenkins is quite easy as it
just includes the installation of a WAR format file. Once installed, it can simply be
started from the terminal. Jenkins pipeline is implemented using DSL (Domain

6. Specific Language). It is said to be a widely used CI/CD tool as it is an open source
tool and has been utilized since long in a market.
Features of Jenkins:
 Enables real time testing and reporting
 Compatible with Linux, MacOS, Windows
 Variety of plugins available to build an in-house ecosystem
 Can easily be integrated with cloud based platforms such as AWS, Azure, Google Cloud,
etc
 Since it is an open source tool, it is affordable for startups
 Possible to accomplish complex CI/CD requirements and leverages parallel work
performing
2. CircleCI
CircleCI is another CI/CD platform that is preferable by many, it offers upto 1500
minutes of free build time per month. For small projects that have very little
development activity can easily take advantage of CircleCI for multiple code
repositories. CircleCI Cloud is a cloud based offering while CircleCI Server is an on-
premise solution. Setting up CircleCI is easy as it uses YAML syntax for its pipeline
configuration.
Features of CircleCI:
 It is easy to set up, maintain and integrate with version controlling platforms like GitHub,
Bitbucket, etc.
 It supports a wide variety of programming languages
 To reduce the build time, the build can be splitted and balanced across multiple containers
 It leverages parallel testing where tests can be run in parallel against different executors

7.  The CircleCI server which is on-premise offering, can be easily integrated with multiple
third party platforms such as AWS, Google Cloud, and other cross browser testing
platforms
 CircleCI Orbs, a reusable snippet of code, helps in automating the monotonous processes
and accelerates the pipeline configuration.
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3. CodeShip
CodeShip is a platform that implements and optimizes CI and CD in the cloud. It
helps small and growing teams in developing from simple traditional web
applications to modern microservice architectures by achieving fast, secure and
frequent code delivery.
It is a demanded CI/CD platform as it offers the capabilities of testing, build and
deployment directly from version controlling platforms such as GitHub. In its
freemium plan, it allows 100 builds per month for unlimited projects. With it’s pro
plan, it allows developers to choose which steps should run sequentially or in parallel
and how many concurrent builds to run simultaneously.
Features of CodeShip:
 With CodeShip, developers can have a high control over CI/CD pipeline and can
customize the environment and workflow anytime required.
 Seamless integration with third party platforms like notification tools, on-premise SCMs,
security scanning tools, etc.

8.  Offers straightforward UI which makes setting up a pipeline super easy.
 CI/CD process can be sped up by declaring caching per service, preventing the docker
image from building everytime from scratch.
 Debugging can be done from CI itself using SSH.
 Supports parallel test pipelines for which implementation is done in codeship.yml
4. GitHub Actions
GitHub Actions was introduced just a few years back (2018) and has become a good
competition in the CI/CD market. Using GitHub Actions, we can easily create a
custom SDLC flow within the GitHub Repo. The workflow can be designed with
different Git actions and can further be triggered automatically based on certain
events. With GitHub, you can now not only continue maintaining the code in shared
repositories, but also build, test, and deploy the code right away using GitHub
Actions.
Features of GitHub Actions:
 Create, share, reuse, and fork repositories within or outside teams
 Freemium plan offers 2000 build minutes per month for all private repositories
 Fully integrated with GitHub repositories, making the pipeline just from a single place
 Docker support can be added to perform multi-container testing
 Offers multiple CI templates, though customized templates can also be created
Challenges and Considerations for QA in CI/CD Pipeline:
While implementing a CI/CD pipeline, QA teams may face several challenges. Here
are some considerations to address these challenges:

9. Test Data Management: Ensure the availability of realistic and representative test
data for accurate testing. Create or generate test data sets that cover a wide range
of scenarios and edge cases. Consider using data masking or synthetic data
generation techniques to protect sensitive information while maintaining realistic test
data.
Test Environment Provisioning: Set up and manage test environments that closely
resemble production environments. Automate the provisioning and configuration of
test environments to ensure consistency and reduce manual effort. Leverage
infrastructure-as-code and containerization technologies to create reproducible and
disposable test environments.
Test Orchestration: Coordinate and orchestrate tests across different stages of the
CI/CD pipeline. Use test management tools or test orchestration frameworks to
schedule and execute tests efficiently. Ensure proper synchronization between tests,
deployments, and environment configurations.
Test Stability and Reliability: Deal with flaky tests and identify strategies to
improve the reliability and stability of automated tests. Regularly review and update
tests to handle changes in the application or infrastructure. Implement retry
mechanisms, test isolation, and proper synchronization to minimize test failures due
to timing or environmental factors.
Test Execution Time: Optimize test execution time to achieve faster feedback loops
and reduce the overall pipeline duration. Parallelize test execution where possible
and distribute tests across multiple test agents or containers. Identify and prioritize

10. critical tests that provide immediate feedback on code changes.
Test Result Analysis: Implement mechanisms to effectively analyze test results and
identify actionable insights. Use test reporting and analytics tools to track test
execution, pass rates, and trends over time. Monitor test failures and prioritize their
resolution based on impact and severity.
Collaboration with Development: Establish effective collaboration and
communication channels with developers to address issues promptly. Foster a
culture of collaboration and shared responsibility for quality. Encourage developers
to actively participate in test automation efforts and provide feedback on test results.
Best Practices for Implementing CI/CD Pipeline:
Implementing a CI/CD pipeline requires careful planning and adherence to best
practices to ensure successful and efficient software delivery. Here are some best
practices to consider when implementing a CI/CD pipeline:
Version Control: Effective usage of version control systems like Git to manage code
changes and enable collaboration. Use branching strategies such as feature
branching or GitFlow to maintain a clean and organized codebase. Ensure that all
code changes are tracked, and rollbacks can be easily performed if needed.
Automated Builds: Set up automated build processes to ensure consistent and
reproducible builds. Use build automation tools such as Jenkins, CircleCI, or GitLab
CI/CD to automatically trigger builds whenever new code is pushed to the repository.
Automate the compilation, packaging, and artifact generation processes to eliminate

11. manual errors and save time.
Test Coverage: Ensure sufficient test coverage by integrating different types of tests
(unit, integration, regression, etc.) into the pipeline. Implement automated testing
frameworks such as JUnit, Selenium, or Cypress to automate the execution of tests.
Regularly review and update test suites to reflect changes in the codebase and catch
any potential regressions early in the pipeline.
Environment Management: Properly manage different environments (development,
staging, production) to mimic real-world conditions. Use infrastructure-as-code tools
like Terraform or CloudFormation to define and provision infrastructure resources
consistently across environments. Containerization technologies like Docker or
Kubernetes can also help ensure environment consistency and portability.
Monitoring and Logging: Implement monitoring and logging solutions to track the
health and performance of the CI/CD pipeline. Use tools like Prometheus, Grafana,
or ELK stack to collect and analyze metrics, logs, and alerts. Monitoring the pipeline
helps identify bottlenecks, performance issues, or failures, allowing for quick
remediation and continuous improvement.
Security and Compliance: Incorporate security practices and compliance checks
throughout the pipeline to protect sensitive data and meet regulatory requirements.
Integrate security scanning tools like SonarQube or Snyk to detect vulnerabilities and
enforce coding standards. Implement security checks at each stage of the pipeline,
including static code analysis, dependency vulnerability scanning, and dynamic

12. security testing.
Continuous Feedback: Establish feedback loops to gather insights from
stakeholders, testers, and users for continuous improvement. Encourage regular
communication and collaboration between developers, testers, and other
stakeholders. Gather feedback through automated testing, user acceptance testing,
and user feedback mechanisms. Use feedback to identify areas for improvement and
make iterative enhancements to the pipeline.
Core Points For QA To Implement CI/CD Pipeline
Reliable and robust CI/CD pipelines are highly dependent on the automated
framework running behind the scene. The results for test automation matters a lot for
a stable delivery on a regular basis. Hence, it is important for QA to implement a
pipeline that can extract as much value out of CI/CD tools as possible.
Implementing an effective CI/CD pipeline is no more a headache now. As we have
discussed above, there are a lot of CI/CD tools available in the market offering
various resources and integrations to configure a seamless pipeline. Below are a few
core points that the QA will need to implement to breed a fruitful CI/CD pipeline:
1. Choose the right CI/CD tools for your projects.
2. Document your CI/CD pipeline elements.
3. Utilize an effective testing workflow with test automation tools.
4. Identify which processes CAN and SHOULD be automated.

13. 5. Identify weak points that lead to crashes and update processes.
6. Promote collaboration between developers and testers.
Developing a CI/CD pipeline for either small or large-scale projects, the motive has
always been to achieve improved performance, efficiency, ROIs, and reduced cost
within an expected value of time.
Future Trends and Emerging Technologies in CI/CD:
Continuous Integration and Continuous Deployment (CI/CD) practices are constantly
evolving to meet the ever-increasing demands of software delivery. As organizations
strive for faster and more reliable deployments, several emerging trends and
technologies are shaping the future of CI/CD pipelines. Here are some notable
trends to watch out for:
Infrastructure as Code (IaC): Infrastructure as Code is a practice that enables the
provisioning and management of infrastructure resources using machine-readable
configuration files. By defining infrastructure as code, organizations can automate
the setup of development, testing, and production environments, ensuring
consistency and reproducibility. Tools like Terraform and AWS CloudFormation
enable declarative infrastructure management and integrate seamlessly with CI/CD
pipelines.
Containerization: Containerization, powered by technologies like Docker and
Kubernetes, has gained immense popularity in CI/CD pipelines. Containers provide
lightweight, isolated runtime environments that can be easily deployed and scaled.
They promote consistency between development, testing, and production
environments, ensuring that applications run reliably across different platforms.

14. Containerization enables faster, more efficient deployments and simplifies
dependency management.
Serverless Architectures: Serverless computing, also known as Function as a
Service (FaaS), is revolutionizing the way applications are built and deployed. In a
serverless architecture, developers focus on writing functions or small units of code
that are executed in response to events. With serverless, organizations can abstract
away infrastructure management and scale automatically, paying only for the actual
execution time. Serverless architectures enhance the agility and scalability of CI/CD
pipelines, enabling rapid and cost-effective deployments.
Artificial Intelligence and Machine Learning: AI and ML technologies are
increasingly being leveraged to optimize CI/CD pipelines. Predictive analytics can be
applied to historical data to identify patterns and predict failures, enabling proactive
remediation. Intelligent automation can help in areas like test case selection, test
environment management, and release planning. AI-powered anomaly detection and
smart monitoring can improve the identification of performance bottlenecks and
security vulnerabilities.
Cloud-Native Technologies: Cloud-native approaches embrace the full potential of
cloud computing to build and deploy applications. It involves leveraging cloud
services, microservices architectures, and containerization to create scalable,
resilient, and highly available systems. Cloud-native CI/CD pipelines enable
organizations to take advantage of cloud-specific services like AWS Lambda, Azure
Functions, and Google Cloud Run for seamless deployment and orchestration.

15. Observability and AIOps: Observability refers to the ability to understand the
internal state of a system by analyzing its external outputs. By integrating
observability practices into CI/CD pipelines, organizations gain valuable insights into
application performance, infrastructure health, and user experience. AIOps (Artificial
Intelligence for IT Operations) leverages machine learning algorithms and
automation to enhance monitoring, troubleshooting, and incident response. AIOps
tools can automatically detect anomalies, correlate events, and provide intelligent
recommendations for optimizing the CI/CD pipeline.
As organizations embrace these emerging trends and technologies, CI/CD pipelines
will become more agile, scalable, and efficient. The future of CI/CD is marked by
intelligent automation, cloud-native architectures, and a data-driven approach to
optimize software delivery. By staying abreast of these trends, organizations can
gain a competitive edge in the fast-paced world of software development and
delivery.
conclusion
by adopting best practices, addressing challenges, and staying ahead of emerging
trends, organizations can establish efficient and effective CI/CD pipelines that
empower teams to deliver high-quality software with speed and confidence. With the
right tools, strategies, and mindset, organizations can navigate the path to
continuous test automation using the CI/CD pipeline successfully.