![]() To monitor CPU usage, you can use the _average.15m metrics and number of cores from the metric: monitors: ![]() For example, Uptrace uses a table-based dashboard to monitor number of sampled and dropped spans for each project: metrics: In other words, table-based dashboards allow to parameterize grid-based dashboards with attributes from the table. When the relevant metrics start arriving to Uptrace, it automatically creates dashboards from templates saving your time.Ī grid-based dashboard looks like a classical grid of charts.Ī table-based dashboard is a table of items where each item leads to a separate grid-based dashboard for the item, for example, a table of hostnames with some metrics for each hostname. Uptrace maintains dashboards templates for monitoring system metrics, Redis, PostgreSQL, MySQL, Kafka, JVM, and many more. You can then export the data from Collector to Uptrace using the OTLP exporter and passing the DSN in headers: exporters: You can install Uptrace binary or use the Docker example to run the backend with a single command.Īfter starting Uptrace, you will receive a data source name (DSN) that contains connection details for Uptrace. Uptrace also requires PostgreSQL database to store metadata such as metric names and alerts. Uptrace uses OpenTelelemetry to collect data and ClickHouse database to store it. You can use it to monitor applications and set up automatic alerts to receive notifications via email, Slack, Telegram, and more. Uptrace is an open source APM tool that supports distributed tracing, metrics, and logs. See OpenTelemetry Collector host metrics documentation for details. # Paging/Swap space utilization and I/O metrics # Network interface I/O metrics & TCP connection metrics To start collecting host metrics, you need to install Otel Collector on each system you want to monitor and add the following lines to the Collector config: receivers: Instead, you can export the data to an OpenTelemetry backend of your choice such as Prometheus or Uptrace. However, OpenTelemetry itself does not include built-in storage or analysis capabilities for the collected data. Hostmetricsreceiver is an OpenTelemetry Collector plugin that gathers various metrics about the host system, for example, CPU, RAM, disk metrics and other system-level metrics. OpenTelemetry Collector can also act as an agent that pulls telemetry data from systems you want to monitor and sends it to tracing tools using the OpenTelemetry protocol.įor example, Collector can monitor Redis by periodically running the INFO command to collect telemetry data and send it to your observability pipeline for analysis and monitoring. OpenTelemetry Collector is a middleware between instrumented applications and various backends or observability platforms. OpenTelemetry is designed to be vendor-agnostic and supports multiple programming languages, making it suitable for a wide range of applications and environments. OpenTelemetry provides a standardized way to capture and transmit metrics, traces, and logs from various software components in a distributed system. It is a merger of OpenCensus and OpenTracing projects. OpenTelemetry is an open-source observability framework hosted by Cloud Native Computing Foundation. When compared to Prometheus, ClickHouse can offer smaller on-disk data size and better query performance when analyzing millions of timeseries. OpenTeleletry Collector is an open source data collection pipeline that allows you to monitor CPU, RAM, disk, network metrics, and many more.Ĭollector itself does not include built-in storage or analysis capabilities, but you can export the data to Uptrace and ClickHouse, using them as a replacement for Grafana and Prometheus.
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