DevOps Metrics for Product Managers: Aligning Engineering Efforts with Business Goals
DOI:
https://doi.org/10.53555/ephijse.v9i1.269Keywords:
DevOps Metrics, DORA Metrics, SPACE Framework, Product Management, AgileAbstract
Although conventional technical measures like mean time to recovery (MTTR) and deployment frequency are important, in the lack of suitable background they could not always match commercial value. This is the field in which DevOps metrics meant especially for product managers to find applications. Product managers that focus on important indicators such feature lead time, customer impact of failures, and operational efficiency will have a better understanding of the link between engineering projects and business outcomes. Monitoring cycle time, for example, lets one assess the speeds with which teams value consumers; examining changes to the failure rates reveals the risks connected to quick implementations. Furthermore, indications of cloud cost efficiency provide light on how infrastructure spending matches revenue goals. Harmonizing technical performance with product effect can help to ensure that engineering teams not only are accelerating code delivery but also significantly improving reliability, cost-efficiency, and user experience. Product managers may improve interaction with engineering teams, advocate for suitable investments & make data-driven decisions that raise technical performances & the commercial success by deliberately using DevOps metrics. By aligning DevOps methods with the corporate goals, companies may maximize customer satisfaction, reduces time to market & enables successful growth—thus turning DevOps from a technical requirement into a competitive advantage.
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