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Prometheus collects data in the form of time series. The time series are built through a pull model: the Prometheus server queries a list of data sources (sometimes called exporters) at a specific polling frequency. Each of the data sources serves the current values of the metrics for that data source at the endpoint queried by Prometheus.
Prometheus (metrics and time-series) Linkerd (service mesh) OpenFaaS (management and auto-scaling of compute) NATS (asynchronous message bus/queue) Kubernetes (declarative, extensible, scale-out, self-healing clustering) SMACK [10] Apache Spark (big data and MapReduce) Apache Mesos (node startup/shutdown) Akka (toolkit) (actor implementation)
Free Core GPL, Commercial Enterprise Yes Yes Yes 2018-01-09 6.1.0 ZIS-System: Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes No Full Control Yes Yes Windows: MariaDB: Commercial Yes Yes Yes 2020-02-01 5.8 Name IP SLA Reports Logical Grouping Trending Trend Prediction Auto Discovery Agentless SNMP Syslog Plugins Triggers / Alerts MIB Compiler WebApp
In pattern recognition, information retrieval, object detection and classification (machine learning), precision and recall are performance metrics that apply to data retrieved from a collection, corpus or sample space. Precision (also called positive predictive value) is the fraction of relevant instances among the retrieved instances. Written ...
Prometheus can ingest JMX data via the JMX exporter [14] which exposes metrics in Prometheus format. New Relic's on-host infrastructure agent collects JMX data [15] which is shown in various charts in its observability platform's dashboard. [16] [17] Jolokia is a j2ee application which exposes JMX over HTTP.
These metrics are therefore computed statically from the code. Halstead's goal was to identify measurable properties of software, and the relations between them. This is similar to the identification of measurable properties of matter (like the volume, mass, and pressure of a gas) and the relationships between them (analogous to the gas equation ).
OxMetrics is an econometric software including the Ox programming language for econometrics and statistics, developed by Jurgen Doornik and David Hendry.OxMetrics originates from PcGive, one of the first econometric software for personal computers, initiated by David Hendry in the 1980s at the London School of Economics.
In software engineering and development, a software metric is a standard of measure of a degree to which a software system or process possesses some property. [1] [2] Even if a metric is not a measurement (metrics are functions, while measurements are the numbers obtained by the application of metrics), often the two terms are used as synonyms.