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4 de abr. de 2024 · Prometheus tiene 3 componentes principales. Servidor: Almacena los datos de las métricas. Librería Cliente: Se usa para calcular y exponer las métricas al cliente. Gestor de alertas: Genera alertas basadas en reglas. Para monitorizar una aplicación deberemos configurar con código la librería de cliente de forma que exponga la métrica que ...
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 ...
Overview. Prometheus integrates with remote storage systems in three ways: Prometheus can write samples that it ingests to a remote URL in a standardized format. Prometheus can receive samples from other Prometheus servers in a standardized format. Prometheus can read (back) sample data from a remote URL in a standardized format.
5 de nov. de 2019 · One way to install Prometheus is by downloading the binaries for your OS and run the executable to start the application. Or, you can use Docker with the following command: docker run --rm -it -p 9090:9090 prom/prometheus. Open a new browser window, and confirm that the application is running under http:localhost:9090:
Prometheus is an open source monitoring system developed by engineers at SoundCloud in 2012. In 2016, Prometheus was the second project accepted into the Cloud Native Computing Foundation after Kubernetes, and also to the second to graduate in 2018. Grafana Labs is proud to support the development of the Prometheus project by employing ...
3 de sept. de 2021 · Prometheus is an open source monitoring solution written in Go that collects metrics data and stores that data in a time series database. It was originally built by SoundCloud in 2012 and became part of the Cloud Native Computing Foundation (CNCF) in 2016. It uses PromQL, a powerful query language for querying your time series data.
Prometheus has multiple modes for visualizing data: a built-in expression browser, Grafana integration, and a console template language. Efficient storage. Prometheus stores time series in memory and on local disk in an efficient custom format. Scaling is achieved by functional sharding and federation.
