By Christopher W. H. Davis
Venture monitoring platforms, attempt and construct instruments, resource keep watch over, non-stop integration, and different integrated components of the software program improvement lifecycle generate a wealth of information that may be used to trace and enhance the standard and function of goods, approaches, and groups. even though the iterative nature of Agile improvement is ideal for data-driven non-stop development, the gathering, research, and alertness of significant metrics usually fades in prefer of subjective measures that supply much less perception into the true demanding situations of creating higher software.
Agile Metrics in motion: Measuring and adorning the functionality of Agile groups is a realistic booklet that exhibits the best way to take the knowledge already being generated to make groups, approaches, and items larger. It issues out which metrics to take advantage of to objectively degree functionality and what facts relatively counts, besides the place to discover it, the way to get it, and the way to research it. The booklet additionally indicates how all workforce individuals can put up their very own metrics via dashboards and radiators, taking cost of speaking functionality and person responsibility. alongside the way in which, it deals functional info research thoughts, together with a couple of rising great facts practices.
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Extra resources for Agile Metrics in Action: Measuring and Enhancing the Performance of Agile Teams
This is usually referred to as a canary deploy and is becoming more common in agile teams practicing CD. Depending on your deployment platform, different tools are available for system monitoring. New Relic, AppDynamics, and Dynatrace are all popular tools in this space. We will go into much more detail about these in chapter 6. All of the data we’ve looked at so far can tell you a lot about your team and how effectively you’re working together. But before you can make this data useful, you need to figure out what is good and what is bad, especially in an agile world where your core metrics are relative.
Chapter 5 shows you the data you can get from your continuous integration (CI) and deployment systems. We’ll look at CI, deployments, and automated test results to analyze the different data you can get from various stages in your build cycle. Chapter 6 shows you the data you can get from your application performance monitoring (APM) system. We’ll look at what your production system can tell you through different types of data and instrumentation that can give you better insight into your systems.
One strategy I find useful when I’m trying to figure out which metrics matter is mind mapping. Mind mapping is a brainstorming technique where you start with an idea and then keep deconstructing it until it’s broken down into small elements. net/), a powerful and free (for the basic version) tool that makes mind mapping pretty simple. ” you can break that down into smaller questions: ■ ■ ■ What is our current velocity? Are we generating tech debt? What are other teams in the company doing? From there you could break those questions down into smaller ones, or you can start identifying places where you can get that data.