From 2e85f9325a797977eea9dfea0a925775ddd211d9 Mon Sep 17 00:00:00 2001 From: Daniel Baumann Date: Sun, 7 Feb 2021 12:49:00 +0100 Subject: Merging upstream version 1.29.0. Signed-off-by: Daniel Baumann --- docs/overview/netdata-monitoring-stack.md | 62 +++++++++++++++++++++++++++++++ 1 file changed, 62 insertions(+) create mode 100644 docs/overview/netdata-monitoring-stack.md (limited to 'docs/overview/netdata-monitoring-stack.md') diff --git a/docs/overview/netdata-monitoring-stack.md b/docs/overview/netdata-monitoring-stack.md new file mode 100644 index 000000000..1504d5f2b --- /dev/null +++ b/docs/overview/netdata-monitoring-stack.md @@ -0,0 +1,62 @@ + + +# Use Netdata standalone or as part of your monitoring stack + +Netdata is an extremely powerful monitoring, visualization, and troubleshooting platform. While you can use it as an +effective standalone tool, we also designed it to be open and interoperable with other tools you might already be using. + +Netdata helps you collect everything and scales to infrastructure of any size, but it doesn't lock-in data or force you +to use specific tools or methodologies. Each feature is extensible and interoperable so they can work in parallel with +other tools. For example, you can use Netdata to collect metrics, visualize metrics with a second open-source program, +and centralize your metrics in a cloud-based time-series database solution for long-term storage or further analysis. + +You can build a new monitoring stack, including Netdata, or integrate Netdata's metrics with your existing monitoring +stack. No matter which route you take, Netdata helps you monitor infrastructure of any size. + +Here are a few ways to enrich your existing monitoring and troubleshooting stack with Netdata: + +## Collect metrics from Prometheus endpoints + +Netdata automatically detects 600 popular endpoints and collects per-second metrics from them via the [generic +Prometheus collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/prometheus). This even +includes support for Windows 10 via [`windows_exporter`](https://github.com/prometheus-community/windows_exporter). + +This collector is installed and enabled on all Agent installations by default, so you don't need to waste time +configuring Netdata. Netdata will detect these Prometheus metrics endpoints and collect even more granular metrics than +your existing solutions. You can now use all of Netdata's meaningfully-visualized charts to diagnose issues and +troubleshoot anomalies. + +## Export metrics to external time-series databases + +Netdata can send its per-second metrics to external time-series databases, such as InfluxDB, Prometheus, Graphite, +TimescaleDB, ElasticSearch, AWS Kinesis Data Streams, Google Cloud Pub/Sub Service, and many others. + +To [export metrics to external time-series databases](/docs/export/external-databases.md), you configure an [exporting +_connector_](/docs/export/enable-connector.md). These connectors support filtering and resampling for granular control +over which metrics you export, and at what volume. You can export resampled metrics as collected, as averages, or the +sum of interpolated values based on your needs and other monitoring tools. + +Once you have Netdata's metrics in a secondary time-series database, you can use them however you'd like, such as +additional visualization/dashboarding tools or aggregation of data from multiple sources. + +## Visualize metrics with Grafana + +One popular monitoring stack is Netdata, Graphite, and Grafana. Netdata acts as the stack's metrics collection +powerhouse, Graphite the time-series database, and Grafana the visualization platform. With Netdata at the core, you can +be confident that your monitoring stack is powered by all possible metrics, from all possible sources, from every node +in your infrastructure. + +Of course, just because you export or visualize metrics elsewhere, it doesn't mean Netdata's equivalent features +disappear. You can always build new dashboards in Netdata Cloud, drill down into per-second metrics using Netdata's +charts, or use Netdata's health watchdog to send notifications whenever an anomaly strikes. + +## What's next? + +Whether you're using Netdata standalone or as part of a larger monitoring stack, the next step is the same: [**Get +Netdata**](/docs/get/README.md). + +[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Foverview%2Fnetdata-monitoring-stacka&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>) -- cgit v1.2.3