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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.
statsd_exporter. StatsD to Prometheus metrics exporter prometheus/statsd_exporter. An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.
To start Prometheus with your newly created configuration file, change to the directory containing the Prometheus binary and run: # Start Prometheus. # By default, Prometheus stores its database in ./data (flag --storage.tsdb.path). ./prometheus --config.file=prometheus.yml. Prometheus should start up.
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. The project is written in Go and licensed under the Apache 2 License, with source code available on GitHub, and is a graduated project of the Cloud Native ...
4 de abr. de 2024 · Prometheus es un software especializado como sistema de monitorización y alertas escrito en el lenguaje de programación Go. Todos los datos y métricas se almacenan en la base de datos como series temporales (junto al instante de tiempo en el que el valor se ha registrado). También es posible añadir etiquetas de tipo clave-valor junto a ...
A tool to scrape a Prometheus client and dump the result as JSON. Go 344 Apache-2.0 88 2 0 Updated 14 hours ago. procfs Public. procfs provides functions to retrieve system, kernel and process metrics from the pseudo-filesystem proc. Go 745 Apache-2.0 302 14 (1 issue needs help) 12 Updated 14 hours ago.
Prometheus is an open-source technology designed to provide monitoring and alerting functionality for cloud-native environments, including Kubernetes. It can collect and store metrics as time-series data, recording information with a timestamp. It can also collect and record labels, which are optional key-value pairs.
