Understanding Bamboo integration for CI/CD Pipeline

By Dinakar
October 23, 2020
5 min Read
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Understanding Bamboo integration for CI/CD Pipeline

There are nearly 23.9 million software developers who code and build programs for businesses and enterprises that look to providing solutions for a better living. This means that there are millions of lines of program code being written this very instant as you read. While there is a lot of programming and development that is going on worldwide, how are people and businesses able to execute these lines of code into real-world practical applications is a question that we must ask. The future of application or software development lies in testing and deployment technologies like DevOps, CI/CD Pipeline, automation, etc.

Software testing has gone through different eras from manual testing to automation to continuous testing. The current testing technologies that most software firms are looking to explore is what is called the DevOps which is part of the broader framework of Continuous Testing, and CI/CD is part of this broader piece of the pie.

What is CI/CD Pipeline?

In the software testing domain, CI/CD pipelines have been exhaustively used to speed up the testing and deployment processes to produce results that are effective and efficient. While some of us already know of the CI/CD technologies and how they function, most of us are still exploring its features and possibilities. To get our fundamentals right, CI stands for Continuous Integration which means that there is a continuous generation of build and test sequences to any program or software package that is built using code. CI monitors the code consistently for any changes or modifications to automatically generate the build and test sequence for the project that you build.  

CD on the other hand also called Continuous Delivery ensures the administration of the automatic infrastructure deployment for the builds. While the CI/CD pipeline is a framework that is available to use, there are different tools that implement this technology to help businesses release their software applications faster.

Bamboo is one such application that implements the CI/CD framework.

What is Bamboo CI Server?

Bamboo is a continuous integration server that is used to automate the testing of any software program or application for a quicker release creating a continuous delivery pipeline. The CI/CD pipeline is instrumental in automating builds, documenting logs, executing tests to assess different parameters of the program and its functionality of the code that is committed. Bamboo integration enables developers to create automated build and test processes for any software program. It also provides a platform to segregate builds that have different targets and requirements, an added advantage is its ability to deploy the program automatically into the server for its release, which saves a lot of time as compared to manual testing. Below is a list of features that are available on the Bamboo platform.

Bamboo Feature

Bamboo uses a repository of code that developers provide to schedule and coordinate the building and testing processes of your application. In order to schedule these automated processes, one would need to have the complete source code of the project, the build, and test scripts.

Advantages of Bamboo integration

A CI server like Bamboo advances the amounts of time it takes to perform builds and deployments. Some of its advantages include –

  • Umteen integrations that are compatible with Bamboo make it all the more faster for businesses to assess and make changes using the test analytical data.
  • End-to-end visibility into quality, release management and status of builds all in one place. 
  • Most of the Functionality is pre-built into the platform with minimal to no need for plugins. 
  • Seamless integration with products such as Jira and Bitbucket 
  • Bamboo’s CI makes it deployment-ready as well. 
  • Tinder and intuitive user-interface makes it easy to navigate through options and tools for a fast and easy functionality. 
  • Different staging environments available on Bamboo allows the QA and developer teams to deploy environments on demand without causing any disturbance to the production environment.
Bamboo integrations

Workflow of Bamboo CI Server

Bamboo’s workflow is pretty straightforward when it comes to coordinating the builds and test suites. The configuration of the order of actions in its workflow is generally divided into different segments and sections which make up the building blocks of its workflow. A high-level understanding of the building blocks of a Bamboo workflow would point you to Plans, Jobs, and Tasks.

Plans consist of a single-stage by default. However, it can be used to group jobs into multiple stages to execute the jobs as and when required. Plans use the same repository to run a series of one or more stages sequentially for faster execution and app testing needs. While you can have separate stages to segregate jobs and tasks within them, Plans ensure that you have everything in one place. 

Jobs consists of tasks that are run sequentially on the same agent. They provide you control over the order of the tasks that need to be performed for your build. Jobs collect the requirements of the tasks to map out the capabilities required for it in the understanding of the Bamboo CI Server. 

Tasks are the smallest discrete working units that execute the commands given to any system. A general task would comprise of parsing test results, executing Maven goals, running scripts, or executing source code checkouts. Tasks run sequentially within a job on the working Bamboo directory.

Integrating Bamboo CI server for your testing needs is sure to help you scale up the pace of your builds and deployments. The several integrations that are supported by Bamboo will help gather all your requirements in one place for execution and implementation. You can easily integrate pCloudy as your cross-browser testing tool to test your websites and web-apps and analyze your test result on the go. For a detailed summary of the steps you need to follow, you can click on the Bamboo integration link here.


Dinakar is a Content Developer at pCloudy. He is an ardent technology explorer who loves sharing ideas in the tech domain. In his free time, you will find him engrossed in books on health & wellness, and playing the guitar. He loves the sight of the oceans and the sound of the waves on a bright sunny day.

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How Continuous Testing in DevOps enables quality in the CI/CD Pipeline

By priyanka
July 16, 2020
6 min Read
Share This Article
How Continuous Testing in DevOps enables quality in the CI/CD Pipeline

We all understand the importance of software testing and how it transforms the goodwill of the business by enabling delivery of quality product to its clients in shorter delivery cycles. It becomes challenging to run the test cases manually by evaluating the quality of each line of code at every step of the continuous Delivery process. This is where Continuous testing in DevOps comes into picture.

Continuous testing in DevOps Pipeline

In traditional ways of testing the software used to pass through different development and QA phases which took more time until the final delivery of the product. According to a research by Gartner, Continuous testing in DevOps is aimed at providing early and quick detection of signs of risks related to the product release. DevOps Continuous Testing is an inevitable activity of the delivery process rather than just a mere stage in the delivery process. The main purpose is to inculcate quality into the CI/CD pipeline by utilizing the key benefits of continuous testing in DevOps.

Continuous Testing in DevOps
DevOps Continuous testing is a critical aspect responsible for seamless Continuous Delivery. It involves the usage of agile development methods and processes into the QA process further providing a productive testing process.

Here are a few points to understand the benefits of Continuous testing in DevOps at the deeper levels:

a. Provides Sustained Risk Analysis:

There has never been any code build that is error free and in a ready-to-release form. Even if the final release candidate has come without any glitches, passes all the tests, it has to be ‘prepared well’ for the final release and approved by the business leaders. Continuous Testing evaluates the code at a deeper level to estimate all the possible risks connected to it so that a corrective action could be taken at the right time without breaking the ‘continuous delivery’ chain.

b. Cuts down the feedback cycle:

The key benefit of continuous testing is that it evaluates the code layer by layer at each stage of delivery pipeline, allowing testers to understand the source of the problem. The actionable insights helps the QA team to act on time and avoid longer queues

c. Broader Test Coverage:

A broad range of tests can be applied throughout the testing process with the help of continuous testing tools for DevOps such as Selenium, etc. It covers both functional and non-functional testing types to increase test coverage by emulating testing like cross-browser testing, API testing, regression testing, integrated testing, unit testing and non-functional testing like security, reliability, scalability, usability and many more.

d. Delivering High Quality Product:

‘Test-early-test-often’ is the key mantra of continuous testing which is self explicable. In order to ensure delivery of high-quality product to the end user, there needs to be a process to continuously monitor the progress along the entire delivery pipeline. Achieving high product quality is the result of continuous testing that strives to finding and addressing risks effectively and by gaining feedback at the early phases of software development lifecycle.

e. Faster Software Delivery:

The whole point of introducing Continuous Testing in DevOps is to speed up the product delivery cycle. Following a multi-point testing at different stages allows the QA team to detect the glitches early and take quick corrective actions so that the final delivery is not impacted.

f. Easy Integration with the DevOps Process:

Continuous testing seamlessly integrated with the DevOps process right from the early stages of the development process rather than functioning just before the release. Continuous integration into the software pipeline enables quick fixes so that the development process can be aligned with the business requirements on time.

Tools for continuous testing in DevOps

For a seamless experience in the entire CI CD process, Continuous testing has to be supported by the best tools for continuous testing in DevOps. For performing smooth Continuous Testing, the Automation Framework has to be integrated with the CI tool, version control and various automated continuous testing DevOps tools to execute different types of testing at various stages of the process. For example, :

  • Using Selenium for performing functional testing
  • Load runner for performing load testing at its best,
  • Secure code analysis using Fortify and static code analysis using Sonar, etc.

Apart from these there are many other trusted DevOps Continuous testing tools available in the market for an efficient continuous testing, like JIRA, Jenkins, Bamboo, Docker, Appium, SoapUI, PagerDuty, CodeCluster etc. The concern is that not all the tools support comprehensive automation solution. Some organizations prefer to create self-made automation frameworks depending upon the version control used to enable complete automation of the CD pipeline.

Since Continuous testing is the most critical aspect to be covered by the business in order to achieve quality product release, it has to be backed by the choice of right, suitable tools and frameworks to achieve speedy and quality delivery.

Challenges in DevOps Continuous Testing and how to overcome them

Even after understanding the advantages of adopting continuous testing in the DevOps process, many organizations face the challenges of successful implementation of it. Establishment of an efficient automation framework is a daunting deal as it involves a huge investment, expertise and effort. Moreover, the organizations are not equipped with the scalable infrastructure to run tests continuously. Also, without a strong coordination among the product, development and testing team, this seems even tougher. Although there are challenges in successful adoption of Continuous testing, with a little sensibility one can overcome it. Here are a few of the key points to comply in order to overcome the challenges :

  • By proper team engagement, the cultural and communication barriers can be dealt with enabling the SDLC team to have better coordination, collaboration and understanding of the scenarios.
  • Reducing unnecessary and extensive testing plans, the focus should be on keeping it simple and logical. Instead, the energy could be diverted to more important test objects in order to create much better measurable results.
  • Automation would ease the successful implementation of continuous testing in DevOps. Well, complete automation isn’t achievable but more the process automation, easier it becomes to carry on the continuous testing.
  • Carry out testing at all stages of production and QA environment would continuously providing feedback to developers to improvise on the product quality.
  • Last but not the least, implementing artificial intelligence and other intelligence programs for problem solving and to think beyond automation at every stage of delivery would boost up the SDLC.

By now we all know how significant continuous testing in DevOps for any business. It essentially brings together all the stages of designing, developing and deploying the software. Merely providing a software product does not help but providing best products faster than the competitors would be the key differentiator of your business. If practiced earnestly, it provides consistent insights about the software development to ensure speedy delivery.

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Tech Blogger - She writes about Technology, Mobile Application Development, Internet of Things, E-commerce, Computing and Design with the aim to coalesce new media and technology.

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