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  /  Automation   /  Demystifying the Metrics for the Success of DevOps
DevOps, metrics, Repository speed, Deployment Frequency, Collaboration.

Demystifying the Metrics for the Success of DevOps

For any software, addressing the metrics of DevOps becomes crucial for undisrupted product delivery.

tis the key to any IT industry. The demand for customer satisfaction and excellent product delivery has led many companies to deliver software as a service. Thus Software has become an integral part of any business operation. However, often these operations get disrupted due to mismanagement within an organization. That’s why to rectify such mishaps, DevOps comes into play.

What is a DevOp?

DevOp is a Software Development Life Cycle (SDLC) that increases the ability of an organization to deliver application and software at high velocity. It is a culmination of organizational culture, tools, practices, and technologies; ensuring and improving product delivery at a faster pace than the traditional software development and management processes.

It also improves the chances of organizations to serve the customers effectively by facilitating continuous product delivery and integration.

In any organization that is engaged in applying DevOps, the responsibility for the continuous operation lies in the hand of the Development team and operation team, who are often merged to carry out the functions like developing to testing and deploying to operations, as a single unit. They develop a wide range of skills that are not limited to a single function, by automating the processes that are manual or slow.

 

Metrics for Successful DevOps

  • Collaboration- DevOps is administered by the collaboration of Development teams and the Operation team. That’s why for a successful DevOps, everyone involved in the operation must communicate, exchange ideas, and have a strong understanding of each other motives. The team leader must take responsibility that the teams are getting along by organizing frequent team-building events and meetings so that different ideas across the teams can be circulated. Collaboration amongst the team reduces the expected inefficiencies in a system and saves time.
  • Reducing the Work In Progress– Another metrics that is advantageous for a successful DevOp is by reducing the work in process/ progress to improve the performance of delivering the software. This would help teams to identify the open issues in the projects. Once the open issues become higher than what is calculated or expected by the team, they can stop taking new projects and work on the existing ones.
  • Time to Restore Service- The time for the system availability can be calculated by:

 Total time Taken- Time taken of all outrages reported by the production team

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 Total Time Taken

This ensures that the production team is measuring the time accurately by monitoring the time and also improves the availability of services that are not meeting their goals. With continuous monitoring, the teams can also identify unhandled exceptions, performance issues, bugs, or infrastructure problems that are hampering the production process.

  • Calculating Repository Speed– The Repository speed can be calculated by accessing the time taken from submission to the review duration of the GitHub pull request over the last 30 days. The repository Speed is affected when the old pull request is lost. The Repository speed thus highlights the old pull requests and emphasizes the outstanding pull requests for every repository. The repository ensures that the developer is focused on the old code review effort.
  • Increased Deployment Frequency- Deployment frequency is a measure through which the quickness in deploying a code by a team is calculated. A higher deployment frequency would mean an increase in the deployment that would increase the opportunities for the software to have feedback. In simple words, it would mean that the team is delivering higher value to the end-users and stakeholders.

 As per a report by the State of DevOps, a higher data frequency can be achieved by high functioning teams. With higher deployment frequency, these teams can also fix the existing critical security vulnerabilities without waiting for the deployment window.