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Understanding Bamboo integration for CI/CD Pipeline

Dinakar
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
Dinakar

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

priyanka
By priyanka
July 16, 2020
6 min Read
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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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priyanka
priyanka

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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CI/CD Pipeline: Demystifying The Complexities

Suyash Dubey
By Suyash Dubey
March 2, 2020
8 min Read
Share This Article
CI/CD Pipeline: Demystifying The Complexities

Industry leaders consider CI/CD to be an essential part of the app development cycle as enterprises are keen to reduce the time to market. Continuous integration and continuous delivery help in improving and enhancing the quality of the product while reducing the cost of the project. This blog will help you understand the of a functioning CI/CD pipeline, its challenges, and its benefits. Before we get into the details, let’s have a look at the basic terminology.

  • Continuous Integration
  • Continuous integration (CI) is a software development practice where developers frequently make changes in the code and add it to the central repository after which automated tests are run. CI is the integration stage of the software release process which depends on automation and constant integration. The main goal is to find the bugs and resolve the issue quickly to improve the software quality and reduce the time to market.

    In continuous integration, developers focus on smaller commits several times a day. Developers pull the code from the repository before pushing it to the build server where the build server runs various tests to verify the code commit.

  • Continuous Delivery
  • Continuous delivery is a software development practice that ensures a faster and stable release of the changes in the code. In this, the changes are automatically built, tested, and prepared for production release. The code changes are deployed to a testing environment or a production environment after the build stage is completed. When continuous delivery is implemented, developers always have a deployment-ready build artifact that has passed through a standard test process. In continuous development, the code revisions to a production environment automatically which allows for a continuous feedback loop early in the development cycle.

  • Continuous Deployment
  • Continuous deployment is a bit similar to continuous delivery but is a step further towards process automation. The change that passes through all the production stages is released to the client directly without the need for any human intervention. Continuous deployment accelerates the feedback loop as only a failed test will stop the change from getting deployed to production.
    Continuous Deployment

  • Continuous Testing
  • It is the practice of executing automated tests throughout the software development life cycle. Instead of the old testing method where testing occurs at the end of the software development cycle, CT occurs at multiple stages, including development, integration, pre-release, and in production. It is done to ensures that bugs are caught and fixed at the earlier stages in the development process, saving a significant amount of time and money.

    continuous testing

    While building an application that will be deployed on the live servers there will be a team of developers responsible to write the code. The developers commit the code into a version control system like Git, from where it goes to the build phase. The built is then sent to the next phase with a proper version tag.

    For instance, you have a code that needs to be compiled before execution. When the code enters the built phase, all the features of the code are merged from various repositories and compiled using a compiler.

    The next phase is the testing phase where various types of testing are performed. Sanity testing and unit testing are the most crucial part of this process as individual units of the built are tested to check if they meet the requirements.

    The builds are moved to the deployment phase after passing the test and then pushed into a test server. Here developers simulate the product in a production-like environment to examine the features.
    What is a CI/CD Pipeline?

    Before the build features are deployed to production, the automation test phase will perform the final tests to qualify the features. continuous testing is implemented in this phase to ensure there are no bugs remaining.

    In case there is an error at any stage of the CI/CD pipeline, feedback will be sent to the development team so that issues are addressed immediately. Thereafter, code changes will go through the production pipeline once again.

    In the final phase, the code is moved to the production server after code passes all the tests. The constant feedback loop helps make the CI/CD pipeline a closed process where builds are continuously committed, tested, and deployed to production.

    Challenges in CI/CD Pipeline

    Limited environments

    During the CI/CD pipeline implementation, a limited number of shared test environments increases the risks of a bottleneck. You would need to reserve an environment to avoid multiple CI/CD pipelines running side by side from attempting to deploy and test in the same environment. One of the leading causes of deployment failures is misconfigured environments modified by previous teams or test runs.

    Security and Ownership

    Sometimes it’s difficult to know who needs to fix the pipeline when the stages fail as delivery pipelines span multiple teams in an organization. An owner has to be assigned at every stage of the CI/CD pipeline who will be responsible to fix the issues and ensuring that the delivery runs smoothly. The owner will also contribute to the feedback-driven improvement of the pipeline.

    The orchestration tool used by the team should have an effective security model that could provide better visibility into the state of the entire CI/CD pipeline. For instance, to identify the causes of test failure, the team would have to examine the result of the test phase. But they should not be given permission to modify or disable the configuration of that test step.

    Managing multiple custom CI/CD pipelines

    There will be multiple CI/CD pipelines in large organizations as they have diverse portfolios spanning different departments, technology platforms, and customers. It would be difficult to analyze metrics like throughput, successful execution, and cycle time if every pipeline ends at different stages in the delivery process. It’s easier to manage a large set of CI/CD pipelines if each one is based on a standard template. This will help in meaningful comparative reporting and it will provide useful feedback to improve other pipelines.

    Massive applications

    Large apps with several components that need to be compiled, tested and deployed are tough to update incrementally which leads to long testing and deployment cycles. It’s harder to perform quality control and root cause analysis as multiple teams commit several changes at the same time. It’s difficult to create a standardized delivery pipeline as the release process needs to differ slightly. Teams often initiate a workstream to incrementally break out components of the app into different modules so that they can be built and deployed separately, allowing for faster feedback cycles with smaller sets of code change.

    Why CI/CD matters

    CI/CD provides several benefits for your software development team including improving developer productivity, automating the process, improving code quality, and delivering updates to your customers faster. Let’s have a look at some more benefits of implementing a CI/CD pipeline.

    Improve Developer Productivity

    CI/CD practices enhance your team’s productivity by freeing developers from manual tasks, working on complex dependencies, and returning focus to delivering new features. Instead of integrating their code with other parts of the business and spending time on how to deploy this code to a platform, developers can focus on coding logic that delivers the features you need.

    Automated Software Release Process

    Continuous delivery provides a method for your team to check-in code that is automatically built, tested, and prepared for release to production so that your software delivery is efficient, resilient, rapid, and secure.

    Improve Code Quality

    CD can help you discover and address bugs early in the delivery process before they grow into larger problems later. Your team can easily perform additional types of code tests because the entire process has been automated. With the discipline of more testing more frequently, teams can iterate faster with immediate feedback on the impact of changes. This enables teams to drive quality code with a high assurance of stability and security. Developers will know through immediate feedback whether the new code works and whether any breaking changes or bugs were introduced. Mistakes caught early on in the development process are the easiest to fix.

    Deliver Updates Faster

    CD helps your team deliver updates to customers quickly and frequently. When CI/CD is implemented, the velocity of the entire team, including the release of features and bug fixes, is increased. Enterprises can respond faster to market changes, security challenges, customer needs, and cost pressures. For example, if a new security feature is required, your team can implement CI/CD with automated testing to introduce the fix quickly and reliably to production systems with high confidence. What used to take weeks and months can now be done in days or even hours.

    In a Nutshell

    Continuous integration and continuous delivery is an ideal solution for an organization’s app development teams. Developers just need to push the code to a repository. The code will be integrated, tested, deployed, tested again, merged with infrastructure, go through security and quality reviews, and be ready to deploy with extremely high confidence. A CI/CD pipeline helps improve code quality and software updates are delivered quickly.

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    Suyash Dubey
    Suyash Dubey

    Suyash is a content strategist at pCloudy. He is a frequent contributor to the world's leading mobile technology blogs and tech forums. In his spare time, you will find him reading detective novels, watching a documentary or exploring a new destination.

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