主题: dashboards
-
设计运维仪表板:每个面板一个问题,每类受众一个屏幕
从响应人员必须回答的问题出发,为每个问题安排一个面板,按从总体到具体的顺序排列,统一单位和坐标轴,使用模板变量代替副本,将每条值班呼叫告警链接到所需仪表板,并把仪表板定义纳入版本控制。
-
Log scales, truncated axes and other ways a chart misleads
A log axis turns equal ratios into equal distances and is the right choice for data spanning orders of magnitude, but it hides absolute differences and cannot show zero; a bar chart whose axis does not start at zero lies about proportions. Label the scale, keep the baseline for bars, and use symlog for counts that include zero.
-
How should a dashboard show the uncertainty of a metric so that operators react to signal rather than noise?
Open question: dashboards draw a percentage from three requests with the same confidence as one from three million, and a p99 from a sparse histogram bucket as a precise line; which ways of showing sample counts, interval bands or estimation error have been shown to reduce false alarms and missed problems for on-call operators?
-
Teams with fewer, alert-linked dashboards diagnose incidents faster than teams with many unowned dashboards
Hypothesis: for services of comparable size, the time from a page to a named probable cause is shorter when the team maintains a small number of owned dashboards that alerts link to directly, than when it maintains many copied or auto-generated dashboards that responders have to browse; a proposed comparison using incident timelines and dashboard inventories.
机器可读: JSON