X
04Feb

Key Metrics to Measure DevOps Success

DevOps words means many things to many people and all the definitions might be partly right. DevOps is all about continuously seeking feedback, understanding challenges, and improving the way the software is development, deployed and consumed by end-user. To measure how we are fairing on the DevOps success journey few key metrics are important to understand and act upon on those. And DevOpSmartBoard our One Stop Dashboard solution for all the Azure DevOps reporting needs will help to identify those DevOps practice areas with metrics. Let us check those:

  1. Deployment frequency: Understanding how often we deploy the app is important. Frequent deployments with smaller changes help to rapidly take the new updates to end-users and realize the consume-feedback-change cycle quickly. The Project Health report of DevOpSmartBoard provides key indicators about the project progress, including build & release failure trends, deployment frequency etc.
  2. Deployment time: Even though this might be a small metrics but very important. Many a times we see the deployments will take lot of time which affects tracking potential issues and fixing it. It is always easier to deploy more often when deployment happens faster. The Azure Pipeline report: provides insights into the deployment of apps at different environments, along with duration and other details. One step further this report provides details across release pipelines, environments, and projects.
  3. Lead time: Lead time is summation of Start & Cycle time which is the amount of time from work requested till it reaches end-users. Tracking lead time is very important for DevOps success and Project Health and Traceability Report in DevOpSmartBoard provides you details on Lead time.
  4. Cycle Time: The amount of time from work started until work finished. This also matters very much for DevOps success, because Cycle time is the main indicator of the team’s speed to deliver value and efficiency ratio. Team Capacity Report in DevOpSmartBoard provides you details on Cycle time
  5. Failed deployments: Failing deployments are major concerns in DevOps. The “Failed Releases” chart in Project Health Report in DevOpSmartBoard provides failure trend over time and DevOps leaders can debug this and take corrective actions to improve this.
  6. Defect/Bug rates: Tracking the bug rates in the project is crucial and when these bugs occur, is also equally important in DevOps success. This gives indicator of quality problems such as performance issues, exceptions, and other issues. In DevOpSmartBoard you can check Bug trends at Organization level, Bugs by Severity at project level, and critical Bug trend in Project Health Report. These charts and reports help team to analyze where they are going wrong and take corrective measures.
  7. Defect Volume: This metrics focuses on the actual volume of defects found over time and any surge in volume. High volume of defects for a particular application may indicate issues with development or test data management. The Bug report in Project Dashboard provides us the necessary information and helps to realize what could be wrong if they are any surges in bugs and act on it.

Related

How to implement and use Extension Methods in C#

Do you wish to extend the built-in types with new methods?Want to extend custom types with new metho...

Read More >

Webinar - Plugging for Cloud, Right or Wrong?

Please watch LIVE RECORDING Video of the webinar session below which took place on 28th Ja...

Read More >

Google Analytics

Google Analytics is a service offered by Google that generates detailed statistics ab...

Read More >

Migrating Work Items from 1 Team Project to another Team Project in VSTS

Hi ya'll, in this post I am gonna show you how to migrate work items from 1 Team Project (TP) to ano...

Read More >

Creating Apps Using Phonegap Framework in IOS

Creating apps for different operating system is not a reliability so for reducing developr work for ...

Read More >

XML with SQL Server

XML with SQL ServerXMLIt is all about describing data. Below is a XML which describes Patient data.1...

Read More >

Bugzilla to TFS Migrator (Part 3 of 4) – Configuration

This is the third part of the Bugzilla to TFS Migrator blog series covering the configuration of the...

Read More >

How to pass Images from Report Body to Header/Footer in RDLC

When using SetData and GetData functions to pass data from report body to report header/footer we ca...

Read More >

Share

Comments

This is a great read. but Because of the continuous nature of DevOps, practitioners use the infinity loop to show how the phases of the DevOps lifecycle relate to each other. Despite appearing to flow sequentially, the loop symbolizes the need for constant collaboration and iterative improvement throughout the entire lifecycle.
2/8/2021 12:00:03 AM | Reply

Post a Comment

Try DevOpSmartBoard Ultimate complete Azure DevOps End-to end reporting tool

Sign Up

  • Recent
  • Popular
  • Tag
Monthly Archive
Subscribe
Name

Text/HTML
Text/HTML
Contact Us
  • *
  • *