Observability with Prometheus and Grafana

What Makes Prometheus Unique?

Many features distinguish Prometheus from other monitoring and metrics systems. This section briefly highlights some of these features, and a more detailed explanation will be provided later.

First of all, it is time-series-based, meaning that it stores all data as timestamped metrics. The data is stored using a multi-dimensional data model. For example, a metric can be identified by its name and a set of key-value pairs known as labels. For example, the metric http_requests_total can have labels such as method="GET" and handler="/api". Timestamped data points are stored with these labels and their respective values. This model allows the user to filter, aggregate, and query the data in a more flexible way. Do you want to find the ratio of 5xx errors to total requests computed over the weekend for the service user-service deployed in the us-west