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Many businesses adopt DevOp principles for the sake of streamlining their workflow. Frequent production deployments are indeed attractive, but quality intelligence is the real showstopper. Data-driven decision-making is the cornerstone of DevOps, and the dashboard’s primary function is to provide your company with actionable insights. The advice that follows will guide you through the setup of a smart DevOps metrics dashboard.
Companies have begun to rely heavily on DevOps methodologies. However, without the proper support systems, you may still end up still falling short of business goals. Your DevOps metrics dashboard is an opportunity to alleviate some of the weight DevOps is expected to carry on its own. A smart dashboard covers all the following bases:
The term “vanity metrics” refers to metrics that look nice but lack functionality. While avoiding these seems like a given, identifying vanity metrics may be trickier than you think. A common trait of vanity metrics is their focus on the outcome rather than the process. Instead of emphasizing the result, a DevOps metrics dashboard must outline each factor that could have contributed to it. The best problem-solving methods don’t just address the problem itself but the conditions that created it.?
Since we now know how to spot and steer clear of vanity metrics, let’s look towards the direction we should be heading instead. Your DevOps metrics dashboard needs to highlight leading indicators or the factors that impact your goals. The easiest way to do this is to identify the causal connections between various elements of your business.?
For example, when production deployment frequency increases, so does the pace of value delivery. Consider creating dashboard elements that indicate possible areas of influence that may arise from specific actions. Familiarizing yourself with the way one aspect influences another enhances your company’s collective understanding of business processes.
One concept that many companies struggle with is the translation of business goals into technical requirements. DevOps seeks to reduce this struggle by introducing more transparency to the software development life cycle (SDLC), but it’s not an end-all solution. The build of your DevOps metrics dashboard should be capable of answering these five questions:
The questions above are important because they each represent one value path.
Your DevOps metrics dashboard should be organized according to the four value paths outlined above. These components act as a set of standards that your company can use to maintain focus. DevOps metrics dashboards provide so much insight into so many intricately connected facets that it can be easy to lose sight of the overarching themes. Your value paths act as a roadmap. Accordingly, a metrics tree should be assigned to measure each one.?
Give each metric tree a normalized index score (target = 100). This approach allows us to present metrics with varying measurement units on one unified scale. Index values are simple to judge in terms of ‘good’ (> 100) and ‘bad’, so no subject matter expert is needed to interpret results.?
Metric trees can also exist under other metric trees (with an index for each). With this, you can calculate a DevOps value creation index and observe the trends that unfold. Once your metric trees have been organized according to causality, finding the right levers to turn becomes light work.?
Modeling casualties through your DevOps metrics dashboard creates an exciting opportunity for leveraging machine learning. Machine learning algorithms can detect fluctuations and patterns far more precisely than the human eye. In addition to making predictions, machine learning turns insight actionable by making data-driven recommendations.?
The analytics application also helps us validate our causality assumptions with cold, hard facts (AKA, data). In short, your DevOps Metrics dashboard should provide accurate insights with topical relevance. The strategies above can help you create a dashboard that links the goals of DevOps to broader business goals, like customer satisfaction.?
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