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Diffstat (limited to 'collectors/COLLECTORS.md')
| -rw-r--r-- | collectors/COLLECTORS.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/collectors/COLLECTORS.md b/collectors/COLLECTORS.md index 3325049e..5f37dfc3 100644 --- a/collectors/COLLECTORS.md +++ b/collectors/COLLECTORS.md @@ -135,6 +135,7 @@ configure any of these collectors according to your setup and infrastructure. - [Riak KV](/collectors/python.d.plugin/riakkv/README.md): Collect database stats from the `/stats` endpoint. - [Zookeeper](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/zookeeper/): Monitor application health metrics reading the server's response to the `mntr` command. +- [Memcached](/collectors/python.d.plugin/memcached/README.md): Collect memory-caching system performance metrics. ### Distributed computing @@ -417,7 +418,6 @@ The Netdata Agent can collect these system- and hardware-level metrics using a v `proc.plugin` collector. - [KSM](/collectors/proc.plugin/README.md): Measure the amount of merging, savings, and effectiveness using the `proc.plugin` collector. -- [Memcached](/collectors/python.d.plugin/memcached/README.md): Collect memory-caching system performance metrics. - [Numa](/collectors/proc.plugin/README.md): Gather metrics on the number of non-uniform memory access (NUMA) events every second using the `proc.plugin` collector. - [Page faults](/collectors/proc.plugin/README.md): Collect the number of memory page faults per second using the @@ -496,7 +496,7 @@ collectors are described only in code and associated charts in Netdata dashboard - [ACLK (code only)](https://github.com/netdata/netdata/blob/master/aclk/legacy/aclk_stats.c): View whether a Netdata Agent is connected to Netdata Cloud via the [ACLK](/aclk/README.md), the volume of queries, process times, and more. - [Alarms](https://learn.netdata.cloud/docs/agent/collectors/python.d.plugin/alarms): This collector creates an - <strong>Alarms</strong> menu with one line plot showing the alarm states of a Netdata Agent over time. + **Alarms** menu with one line plot showing the alarm states of a Netdata Agent over time. - [Anomalies](https://learn.netdata.cloud/docs/agent/collectors/python.d.plugin/anomalies): This collector uses the Python PyOD library to perform unsupervised anomaly detection on your Netdata charts and/or dimensions. - [Exporting (code only)](https://github.com/netdata/netdata/blob/master/exporting/send_internal_metrics.c): Gather |