telegraf/plugins/inputs/docker/README.md

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

The docker plugin uses the excellent docker engine-api library to gather stats. Documentation for the library can be found here and documentation for the stat structure can be found here

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 = []
  ## 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