Metric Sources

Monitoring Service supports metrics from various Promethues compatible metric sources. Selected agents or exporters can push metrics to selected regional endpoint for ingestion. The collected metrics are processed, stored, and made available. You can then query and visualize the metrics as desired.

Note: You can send Prometheus compatible metrics from anywhere as long as you can reach the service endpoint.

Examples provide some suggested and functional Prometheus configurations for our available metric sources.

Prometheus

Prometheus is a monitoring and alerting toolkit that is designed for reliability and scalability. It is a pull-based system that scrapes metrics from instrumented jobs, either directly or via an intermediary push gateway for short-lived jobs. It stores all scraped samples locally and runs rules over this data to either aggregate and record new time series from existing data or generate alerts. We also recommend you try our Prometheus sample configuration.

Grafana Agent

Grafana Agent is an OpenTelemetry Collector distribution with configuration inspired by Terraform. It is designed to be flexible, performant, and compatible with multiple ecosystems. It works with both Prometheus and OpenTelemetry, among others. We also recommend that you try our Grafana Agent sample configuration.

OpenTelemetry

OpenTelemetry is a collection of APIs, SDKs, and tools. Use it to instrument, generate, collect, and export telemetry data (metrics) to help you analyze your software's performance and behavior. We also recommend you try our OpenTelemetry sample configuration.

Note: Monitoring Service accepts metrics natively in the OpenTelemetry Protocol (OTLP) format via the pipeline's /otlp/v1/metrics endpoint, in addition to the Prometheus remote-write path. OpenTelemetry (OTel) exponential histograms sent over OTLP are queryable as Prometheus native histograms in Grafana. For more information, see Metric Pipelines.

FluentBit

FluentBit is a super fast, lightweight, and highly scalable tool. It processes and forwards both logs and metrics. It is the preferred choice for cloud and containerized environments. We also recommend you try our FluentBit sample configuration. This repository provides a basic example of how to configure FluentBit to send metrics to the Ionos Monitoring Service.