How Azure DevOps Implementation Practices Eliminate DevOps Challenges

DevOps with Azure: Top 5 implementation challenges & best practices to overcome them

Published on 26 Sep 2018 | Tushar Ghule

Best Azure DevOps implementation practices

DevOps is widely accepted among the Tech Experts, and IT businesses are adopting progressively. According to the Techbeacon study, the market for DevOps is growing by nearly 33% annually and expected to reach $7.72 billion by 2021. DevOps not only increases the operational efficiency, but also addresses various problems. However, many businesses are facing challenges in implementing it.

Few Critical DevOps Challenges

DevOps is still thriving because of its implementation that helps in faster cloud development. It’s more about how the team adopts the culture, rather than referring to the specific roles. Let’s have a glance at top 5 DevOps challenges.

  1. Achieving the Shared Goal of Dev and Op:

    DevOps denotes the close relationship between development and operation teams. However, both teams have their own goals and challenges. Since both works on Silos, it creates a gap between both teams.

  2. Moving away from Legacy System:

    Older applications and infrastructure can be a knotty even they have served for the years. The lack of support and being not innovative can be challenging in offering customers’ need.

  3. Struggling in Adopting Change:

    DevOps practices cannot be implemented overnight. It’s a continuous and smooth process. It should be an evolution of the existing development practices instead of a new revolution.

  4. Define the Processes:

    It seems that new tools of DevOps solve all the problems. However, they should be integrated correctly, and people should be trained enough. If the correct structure is in place, the team will follow the processes.

  5. High Learning Curve of Tools:

    DevOps has introduced the concepts of continuous development, deployment and reporting. Wide set of tools requires significant training to team and implementation.

Customer Success Story

A HR Services company adopts CI practice to expedite app life cycle and achieves 50% reduction in the time to market. The solution enabled them to release the MVP in a week’s time.

There are many DevOps implementation challenges and they vary depending on the platform, processes & tools we utilize. Microsoft Azure is a full-stack platform with DevOps workflow. It supports various known third-party tools to implement DevOps smoothly & effectively. Let’s discuss the best practices of Microsoft Azure to overcome the challenges of DevOps implementation.

Azure DevOps best practices

  1. Encourage DevOps and develop its culture:

    Defining the shared goal of development & operations team and achieving them collaborative is significantly important.

  2. Adopt flexible DevOps workflows:

    Azure platform offers integration of various tools for development IDE, sharing code, tracking silos, testing, integration and deployment. Team can choose the tools as per their expertise.

  3. Employ Microservices and Containers:

    Azure encourages utilizing infrastructure as code with microservices & containers for the continuous innovation. It helps adopting the change in the market and customer demands quickly.

  4. Adoption of automation:

    The continuous delivery is only possible if testing, integrating, deployment, and monitoring are automated. Automation enhances the quality and fast delivery to a user by securing the consistency in the result and eliminating silos.

  5. Setting up new positions and roles:

    Creating new “DevOps” titles can encourage people to adopt the change of DevOps and helps building culture. It’s natural tendency of protecting their titles and resulting into more participation and sharing new ideas.

Summing up it all

Azure offers numerous tools meeting specific business requirement and automates all the tasks with the minimum amount of skills with less time & efforts. There are many more Azure DevOps practices to list out, but the chance to find them remains in the implementation of DevOps projects for your organization. Start with small, gain success & acceptance to go forward, instead of going after everything in the beginning.

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