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  2. diagrams.net - Wikipedia

    en.wikipedia.org/wiki/Diagrams.net

    diagrams.net (previously draw.io [2] [3]) is a cross-platform graph drawing software application developed in HTML5 and JavaScript. [4] Its interface can be used to create diagrams such as flowcharts , wireframes , UML diagrams, organizational charts , and network diagrams .

  3. Buffett indicator - Wikipedia

    en.wikipedia.org/wiki/Buffett_indicator

    On 10 December 2001, Buffett proposed the metric in a Fortune essay co-authored with journalist Carol Loomis. [8] In the essay, Buffett presented a chart going back 80 years that showed the value of all "publicly traded securities" in the US as a percentage of "US GNP". [8]

  4. IOPS - Wikipedia

    en.wikipedia.org/wiki/IOPS

    Input/output operations per second (IOPS, pronounced eye-ops) is an input/output performance measurement used to characterize computer storage devices like hard disk drives (HDD), solid state drives (SSD), and storage area networks (SAN).

  5. This Metric Says You're Smart to Own Chart Industries - AOL

    www.aol.com/news/2012-06-22-this-metric-says...

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  6. List of electronic component packaging types - Wikipedia

    en.wikipedia.org/wiki/List_of_electronic...

    The codes given in the chart below usually tell the length and width of the components in tenths of millimeters or hundredths of inches. For example, a metric 2520 component is 2.5 mm by 2.0 mm which corresponds roughly to 0.10 inches by 0.08 inches (hence, imperial size is 1008).

  7. Iometer - Wikipedia

    en.wikipedia.org/wiki/Iometer

    Iometer is based on a client–server model, where one instance of the Iometer graphical user interface is managing one or more 'managers' (each one representing a separate Dynamo.exe process) which are doing the I/O with one or more worker threads.

  8. Prometheus (software) - Wikipedia

    en.wikipedia.org/wiki/Prometheus_(software)

    prometheus.io Prometheus is a free software application used for event monitoring and alerting . [ 2 ] It records metrics in a time series database (allowing for high dimensionality ) built using an HTTP pull model , with flexible queries and real-time alerting.

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