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  1. Prométheus (řecky Προμηθέας) je podle řecké mytologie Titán, syn Titána Íapeta a Titánky Themis, nebo podle některých zdrojů Klymené – stvořitel člověka, kterému přidělil oheň, za což byl potrestán bohem Diem. Jednou Zeus chtěl, aby lidé uctívali bohy a něco jim obětovali. Prométheus mu řekl, že si má ...

  2. Prometheus – онлайн-курси різних напрямків і рівнів. IT-курси: тестування, програмування, монтаж, Front-end. Бізнес-курси. Курси англійської, підготовка до ЗНО, підготовка HR та багато інших.

  3. Querying Prometheus. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API.

  4. 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. It is now a standalone open source project and maintained independently of any company.

  5. Prometheus is a system monitoring and alerting system. It was opensourced by SoundCloud in 2012 and is the second project both to join and to graduate within Cloud Native Computing Foundation after Kubernetes. Prometheus stores all metrics data as time series, i.e metrics information is stored along with the timestamp at which it was recorded ...

  6. Enable Prometheus's dimensional data model to identify any given combination of labels for the same metric name. It identifies a particular dimensional instantiation of that metric (for example: all HTTP requests that used the method POST to the /api/tracks handler). The query language allows filtering and aggregation based on these dimensions.

  7. Exporters and integrations. There are a number of libraries and servers which help in exporting existing metrics from third-party systems as Prometheus metrics. This is useful for cases where it is not feasible to instrument a given system with Prometheus metrics directly (for example, HAProxy or Linux system stats).

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