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An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.
Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud. Since its inception in 2012, many companies and organizations have adopted Prometheus, and the project has a very active developer and user community.
Prometheus's local time series database stores data in a custom, highly efficient format on local storage. On-disk layout. Ingested samples are grouped into blocks of two hours.
Prometheus is a free software application used for event monitoring and alerting. 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.
Prometheus is a technology that collects and stores time series data. Time series are fundamental to Prometheus; its data model is arranged into: metrics that consist of a timestamp and a sample, which is the numeric value, such as how many disk bytes have been read or a stock price. a set of labels called dimensions, for example, job and device.
Prometheus, a Cloud Native Computing Foundation project, is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts when specified conditions are observed.
20 de dic. de 2018 · Prometheus is an open source monitoring and alerting system that directly scrapes metrics from agents running on the target hosts and stores the collected samples centrally on its server.
17 de dic. de 2021 · Prometheus is an open-source monitoring solution for collecting and aggregating metrics as time series data. Put more simply, each item in a Prometheus store is a metric event accompanied by the timestamp it occurred.
4 de feb. de 2020 · Prometheus uses three data types for metrics: the scalar, the instant vector, and the range vector. The most fundamental data type of Prometheus is the scalar — which represents a floating point value. Examples of scalars include 0, 18.12, and 1000000. All calculations in Prometheus are floating point operations.
7 de dic. de 2022 · Back to our main character, Prometheus, it stores all the collected sample data as time-series in an in-memory database and saves them to the hard disk at regular intervals. Time series are stored in sequential order of timestamps and values, and each time-series is named by a metrics name and a set of labelset.
