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Diffstat (limited to 'docs/guides/monitor/process.md')
| -rw-r--r-- | docs/guides/monitor/process.md | 44 |
1 files changed, 1 insertions, 43 deletions
diff --git a/docs/guides/monitor/process.md b/docs/guides/monitor/process.md index ff71cee087..9aa6911f17 100644 --- a/docs/guides/monitor/process.md +++ b/docs/guides/monitor/process.md @@ -5,8 +5,7 @@ description: "Tap into Netdata's powerful collectors, with per-second utilizatio image: /img/seo/guides/monitor/process.png custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/monitor/process.md learn_status: "Published" -learn_topic_type: "Tasks" -learn_rel_path: "Guides/Monitor" +learn_rel_path: "Operations" --> # Monitor any process in real-time with Netdata @@ -268,45 +267,4 @@ relevant data. `ebpf.plugin` visualizes additional eBPF metrics, which are system-wide and not per-process, under the **eBPF** section. -## What's next? - -Now that you have `apps_groups.conf` configured correctly, and know where to find per-process visualizations throughout -Netdata's ecosystem, you can precisely monitor the health and performance of any process on your node using per-second -metrics. - -For even more in-depth troubleshooting, see our guide -on [monitoring and debugging applications with eBPF](https://github.com/netdata/netdata/blob/master/docs/guides/troubleshoot/monitor-debug-applications-ebpf.md). - -If the process you're monitoring also has -a [supported collector](https://github.com/netdata/netdata/blob/master/collectors/COLLECTORS.md), now is a great time to -set -that up if it wasn't autodetected. With both process utilization and application-specific metrics, you should have every -piece of data needed to discover the root cause of an incident. See -the [collectors configuration reference](https://github.com/netdata/netdata/blob/master/collectors/REFERENCE.md) documentation for details. - -[Create new dashboards](https://github.com/netdata/netdata/blob/master/docs/visualize/create-dashboards.md) in Netdata -Cloud using charts from `apps.plugin`, -`ebpf.plugin`, and application-specific collectors to build targeted dashboards for monitoring key processes across your -infrastructure. - -Try -running [Metric Correlations](https://github.com/netdata/netdata/blob/master/docs/cloud/insights/metric-correlations.md) -on a node that's running the process(es) you're monitoring. Even if nothing is going wrong at the moment, Netdata -Cloud's embedded intelligence helps you better understand how a MySQL database, for example, might influence a system's -volume of memory page faults. And when an incident is afoot, use Metric Correlations to reduce mean time to resolution ( -MTTR) and cognitive load. - -If you want more specific metrics from your custom application, check out -Netdata's [statsd support](https://github.com/netdata/netdata/blob/master/collectors/statsd.plugin/README.md). With statd, you can send detailed metrics from your -application to Netdata and visualize them with per-second granularity. Netdata's statsd collector works with dozens of -[statsd server implementations](https://github.com/etsy/statsd/wiki#client-implementations), which work with most application -frameworks. - -### Related reference documentation - -- [Netdata Agent · `apps.plugin`](https://github.com/netdata/netdata/blob/master/collectors/apps.plugin/README.md) -- [Netdata Agent · `ebpf.plugin`](https://github.com/netdata/netdata/blob/master/collectors/ebpf.plugin/README.md) -- [Netdata Agent · Dashboards](https://github.com/netdata/netdata/blob/master/web/README.md#dimensions) -- [Netdata Agent · MySQL collector](https://github.com/netdata/go.d.plugin/blob/master/modules/mysql/README.md) - |