Converging DevOps and Agile: Need of Modern Enterprises


    DevOps and Agile have become the buzzwords for the IT industry to demonstrate their modifications in the web and application development processes. 

    Application and web developers globally very well know the correlation between Agile and DevOps. The convergence of development and operations teams has become one of the essential factors in the application development industry. Development teams can leverage two software development approaches, either DevOps or Agile, for their mobile app development to design, test, and deliver applications more quickly and efficiently.

    Many business leaders find it difficult to seamlessly integrate agile and DevOps processes in their software development and deployment stages. It is crucial to set a work culture with effective work processes to offer better service, application security, and delivery times. This approach is one of the most effective ways to ensure seamless collaboration between developers and IT operations. 

    Here are a few aspects that IT decision leaders need to consider while integrating DevOps and Agile:

    Streamline cross-departmental workflows 

    Converging DevOps and Agile strategies enables the teams to have a better understanding of the development lifecycle. It is one of the most effective ways to drive business value through DevOps and get the practical benefits of Agile. Product owners, scrum masters, and project managers need to collaborate with operations, infrastructure, and system administrators to design and implement effective development, delivery, and maintenance processes.

    The entire DevOps teams need to be empowered with the right skillets to deploy applications and manage change, provision environments, automation tools, and other crucial aspects in the development stage. IT business leaders need to focus on developing and setting up product-centric teams to overcome the operations challenges in agile development. 

    Design an efficient development roadmap

    IT business leaders that aim to successfully attempt a DevOps implementation strategy with an effective agile framework need to determine their entire product lifecycle. This approach is one of the most efficient ways to improve consistency and minimize production costs by reducing waste and accelerating the time to market. DevOps teams of modern enterprises inherit more operational challenges within their entire application design, development, and deployment stage. Development and operations teams should design and implement strategic DevOps strategies at the initial development stages. 

    Design and enforce QA in every stage

    Integrating QA in every development stage is a crucial factor while converging DevOps and Agile.

    It is crucial to evaluate every phase of development while converging these two development aspects together. Other than applying functional testing in Agile, DevOps strategies need to have performance and ensure load testing of the software. Development and operations teams need to implement constant testing in their continuous development stages. 

    Empower the DevOps teams with the right tools

    Implementing the right tools in their enterprise tech stack is an essential key to ensuring the successful convergence of Agile and DevOps in the application and software development processes.

    It is crucial to implement software development process configuration management tools in their IT infrastructure to develop and replicate infrastructure leveraging Infrastructure-as-a-Code (IaaC) required for DevOps. This approach enables developers to design and deploy the application on different types of tools without the need for reworking. 


    IT business leaders need to consider workflow automation as a crucial factor while converging between Agile and DevOps. Enterprises should consider automating the entire code scanning process to prevent any possible vulnerabilities.

    Organizations can develop artifacts in a common repository and automate the development and deployment stages. Automating these factors enables organizations to reduce manual checkpoints to identify the issues in application development and delivery stages.


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