Plugin: python.d.plugin Module: memcached
Monitor Memcached metrics for proficient in-memory key-value store operations. Track cache hits, misses, and memory usage for efficient data caching.
It reads server response to stats command (stats interface).
This collector is supported on all platforms.
This collector supports collecting metrics from multiple instances of this integration, including remote instances.
If no configuration is given, collector will attempt to connect to memcached instance on 127.0.0.1:11211
address.
The default configuration for this integration does not impose any limits on data collection.
The default configuration for this integration is not expected to impose a significant performance impact on the system.
Metrics grouped by scope.
The scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.
These metrics refer to the entire monitored application.
This scope has no labels.
Metrics:
Metric | Dimensions | Unit |
---|---|---|
memcached.cache | available, used | MiB |
memcached.net | in, out | kilobits/s |
memcached.connections | current, rejected, total | connections/s |
memcached.items | current, total | items |
memcached.evicted_reclaimed | reclaimed, evicted | items |
memcached.get | hints, misses | requests |
memcached.get_rate | rate | requests/s |
memcached.set_rate | rate | requests/s |
memcached.delete | hits, misses | requests |
memcached.cas | hits, misses, bad value | requests |
memcached.increment | hits, misses | requests |
memcached.decrement | hits, misses | requests |
memcached.touch | hits, misses | requests |
memcached.touch_rate | rate | requests/s |
The following alerts are available:
Alert name | On metric | Description |
---|---|---|
memcached_cache_memory_usage | memcached.cache | cache memory utilization |
memcached_cache_fill_rate | memcached.cache | average rate the cache fills up (positive), or frees up (negative) space over the last hour |
memcached_out_of_cache_space_time | memcached.cache | estimated time the cache will run out of space if the system continues to add data at the same rate as the past hour |
No action required.
The configuration file name for this integration is python.d/memcached.conf
.
You can edit the configuration file using the edit-config
script from the
Netdata config directory.
cd /etc/netdata 2>/dev/null || cd /opt/netdata/etc/netdata
sudo ./edit-config python.d/memcached.conf
There are 2 sections:
The following options can be defined globally: priority, penalty, autodetection_retry, update_every, but can also be defined per JOB to override the global values.
Additionally, the following collapsed table contains all the options that can be configured inside a JOB definition.
Every configuration JOB starts with a job_name
value which will appear in the dashboard, unless a name
parameter is specified.
An example configuration for localhost.
localhost:
name: 'local'
host: 'localhost'
port: 11211
An example configuration for localipv4.
An example configuration for localipv6.
To troubleshoot issues with the memcached
collector, run the python.d.plugin
with the debug option enabled. The output
should give you clues as to why the collector isn't working.
Navigate to the plugins.d
directory, usually at /usr/libexec/netdata/plugins.d/
. If that's not the case on
your system, open netdata.conf
and look for the plugins
setting under [directories]
.
cd /usr/libexec/netdata/plugins.d/
Switch to the netdata
user.
sudo -u netdata -s
Run the python.d.plugin
to debug the collector:
./python.d.plugin memcached debug trace