Why DevOps is Key to Digital Transformation Success


    DevOps is becoming the new operating model for IT in many enterprise undergoing digital transformations. In order to implement DevOps, most organizations will need to transform their processes, technologies and their existing workforce.

    To keep up with changing market trends, new-age enterprises seek to be agile and adapt innovative technology and processes. The success or failure of this digital transformation has a significant impact on business success.

    The technology landscape has changed dramatically and will continue to do so in the years ahead. DevOps, when combined with an Agile strategy, allows businesses to consistently provide business value and innovation to their consumers.

    DevOps isn’t just about continuous integration and delivery; it’s also about how automation can help quickly deliver value and create an early feedback loop.

    DevOps principles were created in an evolutionary process by digital-native early adopters. However, the reality is that many existing organizations are saddled with years, if not decades, of legacy processes and applications that are struggling to stay relevant and cohesive while providing diminishing returns.

    Here are the key steps for enterprises to start DevOps transformation.

    DevOps Strategic Planning

    The initial planning is tailored to each organization’s specific requirements. Enterprises must evaluate a variety of variables to become DevOps-ready, including DevOps practitioners, design approach, collateral, and so on.

    This will result in high-quality products. All components that speed up delivery must be included by participant teams. Security, operations and development all go hand in hand with this. The goal is to gain executive support and a better understanding of what an agile DevOps program entails.

    Most businesses already have modest, ineffective DevOps programs operating in silos. With the expertise of all stakeholders, they can scale these DevOps programs across the company.

    DevOps Center of Excellence

    The first step in establishing DCoE is to nominate an Executive DevOps Leader who will enlist the help and support of all participating departments. Vendor groups and officials from various delivery departments will be active participants in the Center of Excellence (CoE).

    The establishment of DCoE will provide a solid platform on which to construct DevOps strategies, vision, and best practises. It’s a collaborative platform where everyone can share their DevOps experiences and learn from others.

    Culture of Learning and Collaboration 

    DevOps attempts to transform business processes, employee mindset, and workplace culture. Therefore, employee resistance to DevOps should be expected, resulting in bottlenecks in the transformation process. To address this, businesses must foster an open culture of inclusion and collaboration in order to improve team spirit and morale.

    When each member is willing to learn and implement their roles and duties in a collaborative atmosphere, Agile DevOps transformation is achievable.

    DevOps KPIs

    Subject matter experts in DevOps must lead workshops and develop communications plans in which they will routinely convey program objectives and milestones. The success of each DevOps approach will be measured with project intake.

    The ability to accelerate development methodologies requires the right-sizing of processes and tools. Following the technology selection, frequent collaboration across the company on the intake process is required.

    To mature, businesses must collect feedback and strategize on a regular basis. They should create program KPIs to move away from individual measurements and toward a more holistic view of customer outcomes.

    DevOps at a Larger Scale

    The final step is to collect feedback from the pilot program’s KPIs and mature them. Multiple release trains from various application containers must be run. Regular builds and automated deployments are insufficient. The importance of continuous feedback, continual optimization, and scaling cannot be overstated.


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