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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 ...
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1 juin 2021 · An Introduction to Prometheus Monitoring (2021) June 1, 2021 // Caleb Hailey. The best performing organizations rely on metrics to monitor and understand the performance of their applications and infrastructure. As a result, telemetry data and time-series databases (TSDB) have exploded in popularity over the past several years.
All Prometheus services are available as Docker images on Quay.io or Docker Hub. Running Prometheus on Docker is as simple as docker run -p 9090:9090 prom/prometheus. This starts Prometheus with a sample configuration and exposes it on port 9090. The Prom ...
Prometheus was the second project accepted into the Cloud Native Computing Foundation after Kubernetes, and also the second to graduate. The Prometheus monitoring system includes a rich, multidimensional data model, a concise and powerful query language called PromQL, an efficient embedded time series database, and over 150 integrations with third-party systems.
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.
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.
4 juin 2024 · Features of Prometheus. The key features of Prometheus are: A multi-dimensional data model that uses metrics to identify time series data. Key/value pairs and names. A flexible query language to take advantage of this dimensionality is PromQL. No dependency on distributed storage; individual server nodes are independent.
