What is the need for DevOps?


What is the need for DevOps?

DevOps is synonymous with monitoring and deploying all your applications. If you need help regarding measuring your DevOps metrics and all the other things about DevOps, we, at myLearning Key, we have a course about DevOps than can let you learn all the essential matters about it.

To start, what is DevOps in your organization?

It has a diverse meaning based on different people. Depending on how you define it, the metrics that we will discuss below can either matter or not to your team.

What are the challenges of your DevOps?

Before knowing which DevOps metrics to use, you need to figure out first what are the problems and challenges in your organization that you are trying to solve.

Kinds of DevOps Metrics

DevOps is all about delivery and shipping code quickly and continuously. Below are the types of DevOps Metrics that you can use and evaluate your movement without breaking anything.

Mean Time To Recovery (MTTR)

Mean Time To Detection (MTTD)

Application Performance

Application Usage and Traffic

Error Rates

Failed Deployments

Service Level Agreements


Defect Escape Rate

Automated Test Pass %

Customer Tickets

Lead Time

Deployment Time

Change Volume

Deployment Frequency

Aims of DevOps: Performance, Quality, Velocity

You want to ship code as quickly and frequently as possible and you can do this depending on your type of team, risk tolerance, and product.

Try to ship when you can and always care about quality. And performance is related to quality – on some levels. Your velocity, quality, and performance – these are what DevOps wants to emphasize.

Size of Deployment

Trailing how many bug fixes, feature requests, and stories are being deployed is an excellent DevOps metric. The counts on your large individual work can sometimes vary, and you can also track the number of story points or days’ worth of development are being deployed.

Frequency of Deployment

How often you do deployments is a nice DevOps metric. The goal is to perform small deployments as regularly as possible – reduced size of deployment makes it easier to release and test.

Time of Deployment

Tracking how long it takes to perform an actual deployment is also a good metric. This can find potential problems.

Lead Time

Lead time is the amount of time that happens from starting on a work item up to when it is deployed. This tracks the items that you are working on and see how long it would take to get to production.

Customer Tickets

Customer support tickets and feedbacks are the best and worst indicators of application problems. You wouldn’t want your users to find bugs or problems with your application. And these can be a good way for you to know about your app’s performance and quality problems.

Automated Tests Pass %

DevOps relies on automation and tracking how good your automated tests work is a good DevOps metric. It is advisable for your team to make extensive use of the unit and functional testing.

 Defect Escape Rate

 Shipping code fast also means that you have the confidence that you can find software defects before they go to production.  Defect escape rate is a good DevOps metric to know how frequent do these defects make it to production.


It is advisable to track unplanned outages to avoid application outage.

Service Level Agreements

Companies have SLA and it is right to track your defiance with your SLAs. If there are no existing SLAs, maybe there are application requirements that need to be met.

Failed Deployments

No one would want this but this is important to know – how often does your users experience outage? If you have issues with this, track this over time.

Error Rates

This is important – this can indicate your quality, performance, and uptime related issues as well.

Bugs – after deployment, identify new exceptions being thrown in your code.

Production Issues – detect issues with query timeouts, database connections, and other issues.

Errors are normal and it is quite inevitable, but it is wise for you to look for spikes and keep your eyes on error rates.

 Application Usage and Traffic

After deploying your application, you would want to know how many users are accessing your system. If there is a giant spike in traffic or no traffic at all, something must be wrong.

Application Performance

Even before deployment, you should use tools that can trace performance problems, errors and other issues. And even during deployment, you should keep track of this, too.

Mean Time to Detection (MTTD)

Detecting problems or issues with your application is an absolute must because by this, you can fix them quickly.

 Mean Time to Recovery (MTTR)

This can help you recover from setbacks and failure. Keeping your failures to a minimum and recovering from them quickly is the main reason for DevOps to be implemented.

Applied Metrics

Aside from what has said above, there are still a lot of metrics that you can use on your applications. 


I’m sure this list can help you improve and track everything in your application. The goal of Devops is to collaborate and get developers involved in the application monitoring and deployment process.


Source: https://dzone.com/articles/15-metrics-for-devops-success

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