Published: 14 Sep 2021
Agile Vs DevOps Methodologies – A Detailed Comparison
Last Updated: 17 Aug 2022
Today, every enterprise needs high-quality products and faster time-to-market to deliver a great customer experience (CX). But for businesses to fulfil the rising need for high-quality products, adoption of the latest and robust software development and testing methodologies is necessary. This is where the agile and DevOps methodology comes into the picture.
The agile methodology plays a significant role in improving the team’s productivity with its iterative model. Whereas, DevOps methodology ensures effective collaboration between the development (Dev) and the operations (Ops) teams. Since Agile and DevOps methodologies are critical for enabling faster and quality releases, businesses are adopting them rapidly.
Content 1. Overview of Agile and DevOps Methodologies 2. Agile Vs DevOps Methodologies – Detailed Comparison 3. Various Phases of Agile and DevOps Lifecycle 4. How has the Journey from Agile to DevOps helped Businesses? 5. Significance of DevOps CI/CD Implementation in today’s Agile Environment 6. Major Software Testing Types for Successful DevOps CI/CD Implementation 7. Conclusion 8. How Can TestingXperts (Tx) help?
It is a software testing methodology that is guided by certain principles stated in the agile manifesto for software development. This methodology follows an incremental/iterative approach, and the main aim of this approach is to deliver quality software. It also involves continuous collaboration between stakeholders and teams and ensures continuous improvement of product’s quality. Moreover, in this approach, the software is developed and tested in small stages known as sprints, and each sprint varies from 1-3 weeks.
This methodology aims to break traditional silos between cross-functional teams in the waterfall model. It is an evolution from agile methodology and is an enterprise software development and testing approach that emphasizes collaboration and communication between cross-functional teams. This approach involves continuous development, continuous integration, continuous testing, continuous delivery, and continuous monitoring processes to ensure faster releases and high-quality software.
The main purpose of the methodology | This methodology helps teams to manage projects easily by involving the stakeholders in the SDLC. Customer feedback and suggestion helps developers and testers to improve the product quality. | This methodology helps to break traditional silos that earlier existed between cross-functional teams and encourages team members to work in close collaboration with each other with a faster feedback loop. |
Delivery | Product is delivered in increments after the completion of each sprint (one sprint usually lasts for 1-3 weeks). | The goal is to provide continuous delivery of products by enabling CI/CD pipeline. |
Teams | This methodology focuses on keeping the teams small. It includes people with similar skill sets in one team. | In this methodology, team size is relatively bigger as it combines cross-functional teams into one team and ensures seamless collaboration between teams. |
Feedback | Focuses on customer feedback and ensures quality product delivery. | Feedbacks are gathered from internal teams and stakeholders that help to improve and speed up the product delivery. |
Tools | Kanboard, JIRA, Slack, Trello, Bugzilla, etc. | Git, Puppet, AWS, OpenStack, Docker, Jenkins, Kubernetes, etc. |
1. Requirements – It involves planning and gathering all initial requirements like product features, functionalities, expected results, etc., that are necessary for starting the agile software development and testing process. | 1. Continuous Development – This phase involves planning the requirements and coding the software. |
2. Design – In this phase, architectural design and the visual design of the software is finalized | 2. Continuous Integration – In this phase, the developer frequently commits changes to the source code daily or weekly. Bugs in the source code are detected early, and new codes with more functionalities are integrated into the software. Also, teams (developer & testers) use various tools for unit testing, code review, integration testing, compilation, and packaging. |
3. Development and Coding – It involves writing the code and converting the design into actual software | 3. Continuous Testing – In this phase, the developed software is tested for bugs. The test environment is simulated by leveraging Docker containers. It also involves UAT testing along with other types of tests. The teams leverage continuous testing tools like TestNG, Selenium, JUnit, etc. |
4. Integration and Testing – This stage involves integrating the various components of the software. The software is then tested to ensure it is bug-free and works as expected. With iteration, the testing becomes wider in scope and involves integration, interoperability, User Acceptance Testing (UAT), etc. | 4. Continuous Feedback- It involves gathering feedback from the developers, operations team, and end-users/stakeholders which helps in improving the quality of the software. |
5. Implementation and Deployment- The software is deployed on the server and delivered to the customers for a demo or actual use as a part of the UAT. | 5. Continuous Monitoring – It is essential to continuously monitor the software’s performance to ensure all the functionalities work properly. Some of the continuous monitoring tools used in this process are Nagios, Splunk, Sensu, etc. |
6. Review – Once all the previous steps are completed, the product owner reviews the progress. The product is then launched into the market after the complete satisfaction of the stakeholder. | 6. Continuous Deployment – In this methodology, the code is continuously deployed to the production servers. Some of the configuration management tools include Chef, Puppet, Ansible, etc., and containerization tools like Docker, Kubernetes, Ant Maven, etc., that can be used during this process. |
7. Continuous Operation – This step aims to automate the process of releasing the application and the subsequent updates. Development cycles in continuous operations are shorter, which allows developers to accelerate the time-to-market continuously. | |
8. Continuous Delivery- This is the final stage of the entire process that automates the process of deploying new builds into the production. The goal of this phase is to perform automated testing on each build and verify the build that is ready for production. It involves automatic provisioning and configuration of the test environment as well as testing of these environments. It deploys a new release into production post all bugs get fixed |
In 2001, the agile manifesto had its birth which gave rise to the agile methodology. This manifesto contained certain values and principles that guide developers and testers to break the project into smaller parts, accelerate feedback loops and align product features with customer needs. The early adopters of agile methodology were small software start-ups that were eager to disrupt the market and were willing to take the risk. As this methodology matured, large enterprises started adopting it. The agile approach worked fine for some time as it helped developers to produce software in smaller parts. But later, it was realized that it lacks the capability of continuous testing and continuous delivery.
Due to the rising need for faster releases, high-quality software and faster time-to-market, businesses needed advanced methodologies such as DevOps processes. Companies started shifting from Agile to DevOps methodology as it helped them in many ways as listed below:
CI/CD stands for Continuous Integration (CI) and Continuous Delivery (CD), wherein a modern software coding philosophy allows developers to implement small changes and check code frequently. The main goal of CI is to establish a consistent and automated way to build, package, and test applications. CD is closely related to CI and enables automation of the entire software delivery process by leveraging automation tools. Further, it commits and delivers the integrated code into the production stage without any bugs or delays.
Both CI and CD are the backbone of today’s DevOps environment. There are various benefits that businesses can leverage by implementing the DevOps CI/CD pipeline.
Evidently, for businesses to reap complete benefits, they should embark on scalable CI/CD DevOps implementations by leveraging various software testing methods.
Businesses are rapidly moving towards DevOps methodology for various reasons. Firstly, it is an evolution from agile methodology thus making it easier for today’s businesses to adopt it. Secondly, this methodology allows businesses to reach the market faster and improve organizational culture. Lastly, it ensures great customer satisfaction, which is the need of the hour for all businesses. Businesses must leverage test automation in DevOps from the next-gen QA and independent software testing services provider for successful DevOps implementation and faster delivery of high-quality products.
TestingXperts (Tx) has been at the forefront in enabling test automation in DevOps services using the latest software test automation tools and also with an in-house accelerator, ‘Tx-Automate.’ Our test automation services best support business objectives by enabling an effective test automation strategy that is aligned with enterprise’s business goals.
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