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![]() From the Blogosphere Fifteen Metrics for DevOps Success | @DevOpsSummit #DevOps #AI #Serverless
The word DevOps means different things to different people
By: Stackify Blog
Mar. 24, 2018 03:45 PM
How is DevOps going within your organization? If you need some help measuring just how well it is going, we have prepared a list of some key DevOps metrics to track. These metrics can help you understand how your team is doing over time. Define what DevOps means to your organization I define DevOps as everything that relates to deploying and monitoring your applications. In many ways, this bleeds over to site reliability engineering. At Stackify, we don't even have an operations team to collaborate with. Our developers deploy directly to the cloud and we operate in more of a "NoOps" style. Check out my blog post to learn more about my views on what DevOps is. Identify your DevOps challenges Types of DevOps metrics
Goals of DevOps: Velocity, Quality, Performance You want to ship code as fast and often as possible. How fast you can do this will vary wildly based on your type of product, team, and risk tolerance. Even if you don't track any DevOps metrics around your velocity, you should at least measure how you are doing on quality. Perhaps you try to ship when you can, and you don't really care how fast exactly. However, you always care about quality. The last thing you want is to be chasing production fires all the time. The third piece of the equation is performance. You could argue that it is also at odds with your goals of high velocity and quality. Performance is also related to quality, but perhaps a little different. Deployment size Deployment frequency I would suggest counting both production and non-production deployments separately. How often you deploy to QA or pre-production environments is also important. You need to deploy early and often in QA to ensure time for testing. Finding bugs in QA is important to keep your defect escape rate down. Deployment time Lead time Customer tickets Automated tests pass % Defect escape rate Availability Service level agreements Failed deployments Error rates
Errors are a fact of life for most applications. At Stackify, we process millions of messages an hour across a couple hundred servers and over a thousand SQL databases. A few errors here and there are just part of the noise of a busy system. It is important that you keep a pulse on your error rates and look for spikes. Application usage & traffic The last thing you ever want to see is no traffic at all. You could also see a spike in traffic if you are using microservices and one of your applications is causing a lot more traffic all of a sudden. Application performance It might be common after a deployment to see major changes in the usage of specific SQL queries, web service calls, and other application dependencies. Tools like Retrace can provide valuable visualizations like this one below that helps make it easy to spot problems. Mean time to detection (MTTD) Mean time to recovery (MTTR) Having good application monitoring tools in place to quickly identify issues and quickly deploy the fix is important to reducing your MTTR. Application metrics For example, at Stackify, we use custom metrics to track how many log messages are received via our API per minute. This is a critical metric that helps us understand the volume of data flowing through our system. Depending on your application, you may have similar custom metrics that are critical to your application. Read more:
After a deployment, you will want to keep an eye on all of your critical application metrics to ensure that everything still looks normal. Summary If you want to take DevOps to the next level, I'm sure that our list of DevOps metrics will help give you some ideas of what to track and improve. The goal of DevOps is collaboration and getting developers more involved in the deployment process and application monitoring. If you need some help with monitoring your applications, then be sure to check out our product Retrace. Related articles:
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