telegraf/plugins/inputs/docker/README.md

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# Docker Input Plugin
The docker plugin uses the docker remote API to gather metrics on running
docker containers. You can read Docker's documentation for their remote API
[here](https://docs.docker.com/engine/reference/api/docker_remote_api_v1.20/#get-container-stats-based-on-resource-usage)
The docker plugin uses the excellent
[docker engine-api](https://github.com/docker/engine-api) library to
gather stats. Documentation for the library can be found
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[here](https://godoc.org/github.com/docker/engine-api) and documentation
for the stat structure can be found
[here](https://godoc.org/github.com/docker/engine-api/types#Stats)
### Configuration:
```
# Read metrics about docker containers
[[inputs.docker]]
# Docker Endpoint
# To use TCP, set endpoint = "tcp://[ip]:[port]"
# To use environment variables (ie, docker-machine), set endpoint = "ENV"
endpoint = "unix:///var/run/docker.sock"
# Only collect metrics for these containers, collect all if empty
container_names = []
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## Only collect these container labels from docker daemon, collect all if empty but note that
## this will break prometheus output if containers have inconsistent label sets.
container_labels = []
```
### Measurements & Fields:
Every effort was made to preserve the names based on the JSON response from the
docker API.
Note that the docker_container_cpu metric may appear multiple times per collection,
based on the availability of per-cpu stats on your system.
- docker_container_mem
- total_pgmafault
- cache
- mapped_file
- total_inactive_file
- pgpgout
- rss
- total_mapped_file
- writeback
- unevictable
- pgpgin
- total_unevictable
- pgmajfault
- total_rss
- total_rss_huge
- total_writeback
- total_inactive_anon
- rss_huge
- hierarchical_memory_limit
- total_pgfault
- total_active_file
- active_anon
- total_active_anon
- total_pgpgout
- total_cache
- inactive_anon
- active_file
- pgfault
- inactive_file
- total_pgpgin
- max_usage
- usage
- failcnt
- limit
- container_id
- docker_container_cpu
- throttling_periods
- throttling_throttled_periods
- throttling_throttled_time
- usage_in_kernelmode
- usage_in_usermode
- usage_system
- usage_total
- usage_percent
- container_id
- docker_container_net
- rx_dropped
- rx_bytes
- rx_errors
- tx_packets
- tx_dropped
- rx_packets
- tx_errors
- tx_bytes
- container_id
- docker_container_blkio
- io_service_bytes_recursive_async
- io_service_bytes_recursive_read
- io_service_bytes_recursive_sync
- io_service_bytes_recursive_total
- io_service_bytes_recursive_write
- io_serviced_recursive_async
- io_serviced_recursive_read
- io_serviced_recursive_sync
- io_serviced_recursive_total
- io_serviced_recursive_write
- container_id
- docker_
- n_used_file_descriptors
- n_cpus
- n_containers
- n_images
- n_goroutines
- n_listener_events
- memory_total
- pool_blocksize
- docker_data
- available
- total
- used
- docker_metadata
- available
- total
- used
### Tags:
- docker (memory_total)
- unit=bytes
- docker (pool_blocksize)
- unit=bytes
- docker_data
- unit=bytes
- docker_metadata
- unit=bytes
- docker_container_mem specific:
- container_image
- container_name
- docker_container_cpu specific:
- container_image
- container_name
- cpu
- docker_container_net specific:
- container_image
- container_name
- network
- docker_container_blkio specific:
- container_image
- container_name
- device
### Example Output:
```
% ./telegraf -config ~/ws/telegraf.conf -input-filter docker -test
* Plugin: docker, Collection 1
> docker n_cpus=8i 1456926671065383978
> docker n_used_file_descriptors=15i 1456926671065383978
> docker n_containers=7i 1456926671065383978
> docker n_images=152i 1456926671065383978
> docker n_goroutines=36i 1456926671065383978
> docker n_listener_events=0i 1456926671065383978
> docker,unit=bytes memory_total=18935443456i 1456926671065383978
> docker,unit=bytes pool_blocksize=65540i 1456926671065383978
> docker_data,unit=bytes available=24340000000i,total=107400000000i,used=14820000000i 1456926671065383978
> docker_metadata,unit=bytes available=2126999999i,total=2146999999i,used=20420000i 145692667106538
> docker_container_mem,
container_image=spotify/kafka,container_name=kafka \
active_anon=52568064i,active_file=6926336i,cache=12038144i,fail_count=0i,\
hierarchical_memory_limit=9223372036854771712i,inactive_anon=52707328i,\
inactive_file=5111808i,limit=1044578304i,mapped_file=10301440i,\
max_usage=140656640i,pgfault=63762i,pgmajfault=2837i,pgpgin=73355i,\
pgpgout=45736i,rss=105275392i,rss_huge=4194304i,total_active_anon=52568064i,\
total_active_file=6926336i,total_cache=12038144i,total_inactive_anon=52707328i,\
total_inactive_file=5111808i,total_mapped_file=10301440i,total_pgfault=63762i,\
total_pgmafault=0i,total_pgpgin=73355i,total_pgpgout=45736i,\
total_rss=105275392i,total_rss_huge=4194304i,total_unevictable=0i,\
total_writeback=0i,unevictable=0i,usage=117440512i,writeback=0i 1453409536840126713
> docker_container_cpu,
container_image=spotify/kafka,container_name=kafka,cpu=cpu-total \
throttling_periods=0i,throttling_throttled_periods=0i,\
throttling_throttled_time=0i,usage_in_kernelmode=440000000i,\
usage_in_usermode=2290000000i,usage_system=84795360000000i,\
usage_total=6628208865i 1453409536840126713
> docker_container_cpu,
container_image=spotify/kafka,container_name=kafka,cpu=cpu0 \
usage_total=6628208865i 1453409536840126713
> docker_container_net,\
container_image=spotify/kafka,container_name=kafka,network=eth0 \
rx_bytes=7468i,rx_dropped=0i,rx_errors=0i,rx_packets=94i,tx_bytes=946i,\
tx_dropped=0i,tx_errors=0i,tx_packets=13i 1453409536840126713
> docker_container_blkio,
container_image=spotify/kafka,container_name=kafka,device=8:0 \
io_service_bytes_recursive_async=80216064i,io_service_bytes_recursive_read=79925248i,\
io_service_bytes_recursive_sync=77824i,io_service_bytes_recursive_total=80293888i,\
io_service_bytes_recursive_write=368640i,io_serviced_recursive_async=6562i,\
io_serviced_recursive_read=6492i,io_serviced_recursive_sync=37i,\
io_serviced_recursive_total=6599i,io_serviced_recursive_write=107i 1453409536840126713
```