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jangaraj / zabbix-docker-monitoring

:whale: Docker/Kubernetes/Mesos/Marathon/Chronos/LXC/LXD/Swarm container monitoring - Docker image, Zabbix template and C module

Home Page:https://hub.docker.com/r/monitoringartist/zabbix-agent-xxl-limited/

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Managed by Monitoring Artist: DevOps / Docker / Kubernetes / AWS ECS / Zabbix / Zenoss / Terraform / Monitoring

Zabbix Docker Monitoring Build binaries Gitpod ready-to-code

Overview of Monitoring Artist (dockerized) monitoring ecosystem:

Monitoring of Docker container by using Zabbix. Available CPU, mem, blkio, net container metrics and some containers config details, e.g. IP, name, ... Zabbix Docker module has native support for Docker containers (Systemd included) and should also support a few other container types (e.g. LXC) out of the box. Please feel free to test and provide feedback/open issue. The module is focused on performance, see section Module vs. UserParameter script.

Module is available also as a part of different GitHub project - Docker image dockbix-agent-xxl-limited (OS Linux host metrics and other selected metrics are supported as well). Quickstart:

Dockbix Agent XXL Docker container

docker run \
  --name=dockbix-agent-xxl \
  --net=host \
  --privileged \
  -v /:/rootfs \
  -v /var/run:/var/run \
  --restart unless-stopped \
  -e "ZA_Server=<ZABBIX SERVER IP/DNS NAME/IP RANGE>" \
  -e "ZA_ServerActive=<ZABBIX SERVER IP/DNS NAME>" \
  -d monitoringartist/dockbix-agent-xxl-limited:latest

For more information, visit Dockbix agent XXL with Docker monitoring support.

Please donate to the author, so he can continue to publish other awesome projects for free:

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Installation

Available templates:

You can use Docker image monitoringartist/zabbix-templates for import of Zabbix-Template-App-Docker.xml template. For example:

docker run --rm \
  -e XXL_apiurl=http://zabbix.org/zabbix \
  -e XXL_apiuser=Admin \
  -e XXL_apipass=zabbix \
  monitoringartist/zabbix-templates

Download latest build of zabbix_module_docker.so for Zabbix 5.2/5.0/4.0 agents:

OS Module for Zabbix 5.2 Module for Zabbix 5.0 Module for Zabbix 4.0
Amazon Linux 2 Download Download Download
Amazon Linux 1 Download Download Download
CentOS 8 Download Download Download
CentOS 7 Download Download Download
Debian 10 Download Download Download
Debian 9 Download Download Download
Debian 8 Download Download Download
Fedora 33 Download Download Download
Fedora 32 Download Download Download
Fedora 31 Download Download Download
openSUSE 15 Download Download Download
openSUSE 42 Download Download Download
RHEL 8 Download Download Download
RHEL 7 Download Download Download
Ubuntu 20 Download Download Download
Ubuntu 18 Download Download Download
Ubuntu 16 Download Download Download
Ubuntu 14 Download Download Download

If the provided build doesn't work on your system, please see section Compilation. You can check folder dockerfiles, where Dockerfiles for different OS/Zabbix versions can be customised.

Grafana dashboard

Custom Grafana dashboard for Docker monitoring with used Zabbix Docker (Mesos, Marathon/Chronos) templates are available in Grafana Zabbix dashboards repo.

Grafana dashboard Overview Docker

Available metrics

Note: cid - container ID, two options are available:

  • full container ID (macro {#FCONTAINERID}), e.g. 2599a1d88f75ea2de7283cbf469ea00f0e5d42aaace95f90ffff615c16e8fade
  • human name or short container ID (macros {#HCONTAINERID} or {#SCONTAINERID}) - prefix "/" must be used, e.g. /zabbix-server or /2599a1d88f75
Key Description
docker.discovery[<par1>,<par2>,<par3>] LLD container discovering:
Only running containers are discovered.
Additional Docker permissions are needed when you want to see container name (human name) in metrics/graphs instead of short container ID. Optional parameters are used for definition of HCONTAINERID - docker.inspect function will be used in this case.
For example:
docker.discovery[Config,Env,MESOS_TASK_ID=] is recommended for Mesos/Chronos/Marathon container monitoring
Note 1: docker.discovery is faster version of docker.discovery[Name]
Note 2: Available macros:
{#FCONTAINERID} - full container ID (64 character string)
{#SCONTAINERID} - short container ID (12 character string)
{#HCONTAINERID} - human name of container
{#SYSTEM.HOSTNAME} - system hostname
docker.port.discovery[cid,<protocol>] LLD published container port dicovering:
protocol - port protocol, which should be discovered, default value all, available protocols: tcp,udp
docker.mem[cid,mmetric] Memory metrics:
mmetric - any available memory metric in the pseudo-file memory.stat, e.g.: cache, rss, mapped_file, pgpgin, pgpgout, swap, pgfault, pgmajfault, inactive_anon, active_anon, inactive_file, active_file, unevictable, hierarchical_memory_limit, hierarchical_memsw_limit, total_cache, total_rss, total_mapped_file, total_pgpgin, total_pgpgout, total_swap, total_pgfault, total_pgmajfault, total_inactive_anon, total_active_anon, total_inactive_file, total_active_file, total_unevictable, Note: if you have a problem with memory metrics, be sure that memory cgroup subsystem is enabled - kernel parameter: cgroup_enable=memory
docker.cpu[cid,cmetric] CPU metrics:
cmetric - any available CPU metric in the pseudo-file cpuacct.stat/cpu.stat, e.g.: system, user, total (current sum of system/user or container throttling metrics: nr_throttled, throttled_time
Note: CPU user/system/total metrics must be recalculated to % utilization value by Zabbix - Delta (speed per second).
docker.dev[cid,bfile,bmetric] Blk IO metrics:
bfile - container blkio pseudo-file, e.g.: blkio.io_merged, blkio.io_queued, blkio.io_service_bytes, blkio.io_serviced, blkio.io_service_time, blkio.io_wait_time, blkio.sectors, blkio.time, blkio.avg_queue_size, blkio.idle_time, blkio.dequeue, ...
bmetric - any available blkio metric in selected pseudo-file, e.g.: Total. Option for selected block device only is also available e.g. '8:0 Sync' (quotes must be used in key parameter in this case)
Note: Some pseudo blkio files are available only if kernel config CONFIG_DEBUG_BLK_CGROUP=y, see recommended docs.
docker.inspect[cid,par1,<par2>,<par3>] Docker inspection:
Requested value from Docker inspect JSON object (e.g. API v1.21) is returned.
par1 - name of 1st level JSON property
par2 - optional name of 2nd level JSON property
par3 - optional name of 3rd level JSON property or selector of item in the JSON array
For example:
docker.inspect[cid,Config,Image], docker.inspect[cid,NetworkSettings,IPAddress], docker.inspect[cid,Config,Env,MESOS_TASK_ID=], docker.inspect[cid,State,StartedAt], docker.inspect[cid,Name]
Note 1: Requested value must be plain text/numeric value. JSON objects and booleans are not supported.
Note 2: Additional Docker permissions are needed.
Note 3: If you use selector for selecting value in array, then selector string is removed from returned value.
docker.info[info] Docker information:
Requested value from Docker info JSON object (e.g. API v1.21) is returned.
info - name of requested information, e.g. Containers, Images, NCPU, ...
Note: Additional Docker permissions are needed.
docker.stats[cid,par1,<par2>,<par3>] Docker container resource usage statistics:
Docker version 1.5+ is required
Requested value from Docker stats JSON object (e.g. API v1.21) is returned.
par1 - name of 1st level JSON property
par2 - optional name of 2nd level JSON property
par3 - optional name of 3rd level JSON property
For example:
docker.stats[cid,memory_stats,usage], docker.stats[cid,network,rx_bytes], docker.stats[cid,cpu_stats,cpu_usage,total_usage]
Note 1: Requested value must be plain text/numeric value. JSON objects/arrays are not supported.
Note 2: Additional Docker permissions are needed.
Note 3: The most accurate way to get Docker container stats, but it's also the slowest (0.3-0.7s), because data are readed from on demand container stats stream.
docker.cstatus[status] Count of Docker containers in defined status:
status - container status, available statuses:
All - count of all containers
Up - count of running containers (Paused included)
Exited - count of exited containers
Crashed - count of crashed containers (exit code != 0)
Paused - count of paused containers
Note: Additional Docker permissions are needed.
docker.istatus[status] Count of Docker images in defined status:
status - image status, available statuses:
All - all images
Dangling - count of dangling images
Note: Additional Docker permissions are needed.
docker.vstatus[status] Count of Docker volumes in defined status:
status - volume status, available statuses:
All - all volumes
Dangling - count of dangling volumes
Note 1: Additional Docker permissions are needed.
Note2: Docker API v1.21+ is required
docker.up[cid] Running state check:
1 if container is running, otherwise 0
docker.modver Version of the loaded docker module
docker.xnet[cid,interface,nmetric] Network metrics (experimental):
interface - name of interface, e.g. eth0, if name is all, then sum of selected metric across all interfaces is returned (lo included)
nmetric - any available network metric name from output of command netstat -i:
MTU, Met, RX-OK, RX-ERR, RX-DRP, RX-OVR, TX-OK, TX-ERR, TX-DRP, TX-OVR
For example:
docker.xnet[cid,eth0,TX-OK]
docker.xnet[cid,all,RX-ERR]
Note 1: Root permissions (AllowRoot=1) are required, because net namespaces (/var/run/netns/) are created/used
Note 2: netstat is needed to be installed and available in PATH

Container log monitoring

Standard Zabbix log monitoring can be used. Keep in mind, that Zabbix agent must support active mode for log monitoring. Stdout/stderr Docker container console output is logged by Docker into file /var/lib/docker/containers/<fid>/<fid>-json.log (fid - full container ID = macro {#FCONTAINERID}). If the application in container is not able to log to stdout/stderr, link log file to stdout/stderr. For example:

ln -sf /dev/stdout /var/log/nginx/access.log
ln -sf /dev/stderr /var/log/nginx/error.log

Example of -json log file:

{"log":"2015-07-03 00:15:05,870 DEBG fd 13 closed, stopped monitoring \u003cPOutputDispatcher at 37974528 for \u003cSubprocess at 37493936 with name php-fpm in state STARTING\u003e (stdout)\u003e\n","stream":"stdout","time":"2015-07-03T00:15:05.871956756Z"}
{"log":"2015-07-03 00:15:05,873 DEBG fd 17 closed, stopped monitoring \u003cPOutputDispatcher at 37974240 for \u003cSubprocess at 37493936 with name php-fpm in state STARTING\u003e (stderr)\u003e\n","stream":"stdout","time":"2015-07-03T00:15:05.875886957Z"}
{"log":"2015-07-03 00:15:06,878 INFO success: nginx entered RUNNING state, process has stayed up for \u003e than 1 seconds (startsecs)\n","stream":"stdout","time":"2015-07-03T00:15:06.882435459Z"}
{"log":"2015-07-03 00:15:06,879 INFO success: nginx-reload entered RUNNING state, process has stayed up for \u003e than 1 seconds (startsecs)\n","stream":"stdout","time":"2015-07-03T00:15:06.882548486Z"}

Recommended Zabbix log key for this case:

log[/var/lib/docker/containers/<fid>/<fid>-json.log,"\"log\":\"(.*)\",\"stream",,,skip,\1]

You can utilize Zabbix LLD for automatic Docker container log monitoring. In this case it'll be:

log[/var/lib/docker/containers/{#FCONTAINERID}/{#FCONTAINERID}-json.log,"\"log\":\"(.*)\",\"stream",,,skip,\1]

Images

Docker container CPU graph in Zabbix: Docker container CPU graph in Zabbix Docker container memory graph in Zabbix: Docker container memory graph in Zabbix Docker container state graph in Zabbix: Docker container state graph in Zabbix

Additional Docker permissions

You have two options, how to get additional Docker permissions:

  • Add zabbix user to docker group (recommended option):
usermod -aG docker zabbix

Or

  • Edit zabbix_agentd.conf and set AllowRoot (Zabbix agent with root permissions):
AllowRoot=1

Note: If you use Docker from RHEL/Centos repositories, then you have to use AllowRoot=1 option.

SELinux

If you are on a system that has SELinux in enforcing-mode (check with getenforce), you can make it work with this SELinux module. This module will persist reboots. Save it, then run:

wget https://raw.githubusercontent.com/monitoringartist/zabbix-docker-monitoring/master/selinux/zabbix-docker.te
checkmodule -M -m -o zabbix-docker.mod zabbix-docker.te
semodule_package -o zabbix-docker.pp -m zabbix-docker.mod
semodule -i zabbix-docker.pp

Compilation

You have to compile the module if provided binary doesn't work on your system. Basic compilation steps (please use right Zabbix branch version):

# Required CentOS/RHEL apps:   yum install -y wget autoconf automake gcc git pcre-devel jansson-devel
# Required Debian/Ubuntu apps: apt-get install -y wget autoconf automake gcc git make pkg-config libpcre3-dev libjansson-dev
# Required Fedora apps:        dnf install -y wget autoconf automake gcc git make pcre-devel jansson-devel
# Required openSUSE apps:      zypper install -y wget autoconf automake gcc git make pkg-config pcre-devel libjansson-devel
# Required Gentoo apps 1:      emerge net-misc/wget sys-devel/autoconf sys-devel/automake sys-devel/gcc
# Required Gentoo apps 2:      emerge dev-vcs/git sys-devel/make dev-util/pkgconfig dev-libs/libpcre dev-libs/jansson
# Source, use your version:    git clone -b 4.2.2 --depth 1 https://github.com/zabbix/zabbix.git /usr/src/zabbix
cd /usr/src/zabbix
./bootstrap.sh
./configure --enable-agent
mkdir src/modules/zabbix_module_docker
cd src/modules/zabbix_module_docker
wget https://raw.githubusercontent.com/monitoringartist/zabbix-docker-monitoring/master/src/modules/zabbix_module_docker/zabbix_module_docker.c
wget https://raw.githubusercontent.com/monitoringartist/zabbix-docker-monitoring/master/src/modules/zabbix_module_docker/Makefile
make

The output will be the binary file (dynamically linked shared object library) zabbix_module_docker.so, which can be loaded by Zabbix agent.

You can also use Docker for compilation. Example of Dockerfiles, which have been prepared for module compilation - https://github.com/monitoringartist/zabbix-docker-monitoring/tree/master/dockerfiles

Troubleshooting

Edit your zabbix_agentd.conf and set DebugLevel:

DebugLevel=4

Module debugs messages will be available in standard zabbix_agentd.log.

Issues and feature requests

Please use Github issue tracker.

Module vs. UserParameter script

The module is ~10x quicker because it's compiled the binary code. I've used my project Zabbix agent stress test for performance tests.

Part of config in zabbix_agentd.conf:

UserParameter=xdocker.cpu[*],grep $2 /cgroup/cpuacct/docker/$1/cpuacct.stat | awk '{print $$2}'
LoadModule=zabbix_module_docker.so

Tests:

[root@dev zabbix-agent-stress-test]# ./zabbix-agent-stress-test.py -s 127.0.0.1 -k "xdocker.cpu[d5bf68ec1fb570d8ac3047226397edd8618eed14278ce035c98fbceef02d7730,system]" -t 20
Warning: you are starting more threads, than your system has available CPU cores (4)!
Starting 20 threads, host: 127.0.0.1:10050, key: xdocker.cpu[d5bf68ec1fb570d8ac3047226397edd8618eed14278ce035c98fbceef02d7730,system]
Success: 291    Errors: 0       Avg speed: 279.68 qps   Execution time: 1.00 sec
Success: 548    Errors: 0       Avg speed: 349.04 qps   Execution time: 2.00 sec
Success: 803    Errors: 0       Avg speed: 282.72 qps   Execution time: 3.00 sec
Success: 1060   Errors: 0       Avg speed: 209.31 qps   Execution time: 4.00 sec
Success: 1310   Errors: 0       Avg speed: 187.14 qps   Execution time: 5.00 sec
Success: 1570   Errors: 0       Avg speed: 178.80 qps   Execution time: 6.01 sec
Success: 1838   Errors: 0       Avg speed: 189.36 qps   Execution time: 7.01 sec
Success: 2106   Errors: 0       Avg speed: 225.68 qps   Execution time: 8.01 sec
Success: 2382   Errors: 0       Avg speed: 344.51 qps   Execution time: 9.01 sec
Success: 2638   Errors: 0       Avg speed: 327.88 qps   Execution time: 10.01 sec
Success: 2905   Errors: 0       Avg speed: 349.93 qps   Execution time: 11.01 sec
Success: 3181   Errors: 0       Avg speed: 352.23 qps   Execution time: 12.01 sec
Success: 3450   Errors: 0       Avg speed: 239.38 qps   Execution time: 13.01 sec
Success: 3678   Errors: 0       Avg speed: 209.88 qps   Execution time: 14.02 sec
Success: 3923   Errors: 0       Avg speed: 180.30 qps   Execution time: 15.02 sec
Success: 4178   Errors: 0       Avg speed: 201.58 qps   Execution time: 16.02 sec
Success: 4434   Errors: 0       Avg speed: 191.92 qps   Execution time: 17.02 sec
Success: 4696   Errors: 0       Avg speed: 332.06 qps   Execution time: 18.02 sec
Success: 4968   Errors: 0       Avg speed: 325.55 qps   Execution time: 19.02 sec
Success: 5237   Errors: 0       Avg speed: 325.61 qps   Execution time: 20.02 sec
^C
Success: 5358   Errors: 0       Avg rate: 192.56 qps    Execution time: 20.53 sec
Avg rate based on total execution time and success connections: 261.02 qps

[root@dev zabbix-agent-stress-test]# ./zabbix-agent-stress-test.py -s 127.0.0.1 -k "docker.cpu[d5bf68ec1fb570d8ac3047226397edd8618eed14278ce035c98fbceef02d7730,system]" -t 20
Warning: you are starting more threads, than your system has available CPU cores (4)!
Starting 20 threads, host: 127.0.0.1:10050, key: docker.cpu[d5bf68ec1fb570d8ac3047226397edd8618eed14278ce035c98fbceef02d7730,system]
Success: 2828   Errors: 0       Avg speed: 2943.98 qps  Execution time: 1.00 sec
Success: 5095   Errors: 0       Avg speed: 1975.77 qps  Execution time: 2.01 sec
Success: 7623   Errors: 0       Avg speed: 2574.55 qps  Execution time: 3.01 sec
Success: 10098  Errors: 0       Avg speed: 4720.20 qps  Execution time: 4.02 sec
Success: 12566  Errors: 0       Avg speed: 3423.56 qps  Execution time: 5.02 sec
Success: 14706  Errors: 0       Avg speed: 2397.01 qps  Execution time: 6.03 sec
Success: 17128  Errors: 0       Avg speed: 903.63 qps   Execution time: 7.05 sec
Success: 19520  Errors: 0       Avg speed: 2663.53 qps  Execution time: 8.05 sec
Success: 21899  Errors: 0       Avg speed: 1516.36 qps  Execution time: 9.07 sec
Success: 24219  Errors: 0       Avg speed: 3570.47 qps  Execution time: 10.07 sec
Success: 26676  Errors: 0       Avg speed: 1204.58 qps  Execution time: 11.08 sec
Success: 29162  Errors: 0       Avg speed: 2719.87 qps  Execution time: 12.08 sec
Success: 31671  Errors: 0       Avg speed: 2265.67 qps  Execution time: 13.08 sec
Success: 34186  Errors: 0       Avg speed: 3490.64 qps  Execution time: 14.08 sec
Success: 36749  Errors: 0       Avg speed: 2094.59 qps  Execution time: 15.09 sec
Success: 39047  Errors: 0       Avg speed: 3213.35 qps  Execution time: 16.09 sec
Success: 41361  Errors: 0       Avg speed: 3171.67 qps  Execution time: 17.09 sec
Success: 43739  Errors: 0       Avg speed: 3946.53 qps  Execution time: 18.09 sec
Success: 46100  Errors: 0       Avg speed: 1308.88 qps  Execution time: 19.09 sec
Success: 48556  Errors: 0       Avg speed: 2663.52 qps  Execution time: 20.09 sec
^C
Success: 49684  Errors: 0       Avg rate: 2673.85 qps   Execution time: 20.52 sec
Avg rate based on total execution time and success connections: 2420.70 qps

Results of 20s stress test:

StartAgent value Module qps UserParameter script qps
3 2420.70 261.02
10 2612.20 332.62
20 2487.93 348.52

Discovery test:

Part of config in zabbix_agentd.conf:

UserParameter=xdocker.discovery,/etc/zabbix/scripts/container_discover.sh
LoadModule=zabbix_module_docker.so

Shell implementation container_discover.sh:

Test with 237 running containers:

[root@dev ~]# docker info
Containers: 237
Images: 121
Storage Driver: btrfs
Execution Driver: native-0.2
Kernel Version: 3.10.0-229.el7.x86_64
Operating System: Red Hat Enterprise Linux Server 7.1 (Maipo)
CPUs: 10
Total Memory: 62.76 GiB
Name: dev.local
ID: AOAM:BO3G:5MCE:5FMM:IWKP:NPM4:PRKV:ZZ34:BYFL:XGAV:SRNJ:LKDH
Username: username
Registry: [https://index.docker.io/v1/]
[root@dev ~]# time zabbix_get -s 127.0.0.1 -k docker.discovery > /dev/null

real    0m0.112s
user    0m0.000s
sys     0m0.003s
[root@dev ~]# time zabbix_get -s 127.0.0.1 -k xdocker.discovery > /dev/null

real    0m5.856s
user    0m0.000s
sys     0m0.002s
[root@dev ~]# ./zabbix-agent-stress-test.py -s 127.0.0.1 -k xdocker.discovery
Starting 1 threads, host: 127.0.0.1:10050, key: xdocker.discovery
Success: 0      Errors: 0       Avg rate: 0.00 qps      Execution time: 1.00 sec
Success: 0      Errors: 0       Avg rate: 0.00 qps      Execution time: 2.00 sec
Success: 0      Errors: 0       Avg rate: 0.00 qps      Execution time: 3.02 sec
Success: 0      Errors: 0       Avg rate: 0.00 qps      Execution time: 4.02 sec
Success: 0      Errors: 0       Avg rate: 0.00 qps      Execution time: 5.02 sec
Success: 1      Errors: 0       Avg rate: 0.10 qps      Execution time: 6.02 sec
Success: 1      Errors: 0       Avg rate: 0.10 qps      Execution time: 7.02 sec
Success: 1      Errors: 0       Avg rate: 0.10 qps      Execution time: 8.02 sec
Success: 1      Errors: 0       Avg rate: 0.10 qps      Execution time: 9.02 sec
Success: 1      Errors: 0       Avg rate: 0.10 qps      Execution time: 10.02 sec
Success: 2      Errors: 0       Avg rate: 0.14 qps      Execution time: 11.02 sec
Success: 2      Errors: 0       Avg rate: 0.14 qps      Execution time: 12.03 sec
Success: 2      Errors: 0       Avg rate: 0.14 qps      Execution time: 13.03 sec
Success: 2      Errors: 0       Avg rate: 0.14 qps      Execution time: 14.03 sec
Success: 2      Errors: 0       Avg rate: 0.14 qps      Execution time: 15.03 sec
Success: 3      Errors: 0       Avg rate: 0.16 qps      Execution time: 16.03 sec
Success: 3      Errors: 0       Avg rate: 0.16 qps      Execution time: 17.03 sec
Success: 3      Errors: 0       Avg rate: 0.16 qps      Execution time: 18.03 sec
Success: 3      Errors: 0       Avg rate: 0.16 qps      Execution time: 19.03 sec
Success: 3      Errors: 0       Avg rate: 0.16 qps      Execution time: 20.03 sec
Success: 3      Errors: 0       Avg rate: 0.16 qps      Execution time: 21.04 sec
Success: 4      Errors: 0       Avg rate: 0.17 qps      Execution time: 22.04 sec
Success: 4      Errors: 0       Avg rate: 0.17 qps      Execution time: 23.04 sec
Success: 4      Errors: 0       Avg rate: 0.17 qps      Execution time: 24.04 sec
Success: 4      Errors: 0       Avg rate: 0.17 qps      Execution time: 25.05 sec
Success: 5      Errors: 0       Avg rate: 0.20 qps      Execution time: 26.05 sec
Success: 5      Errors: 0       Avg rate: 0.20 qps      Execution time: 27.05 sec
Success: 5      Errors: 0       Avg rate: 0.20 qps      Execution time: 28.05 sec
Success: 5      Errors: 0       Avg rate: 0.20 qps      Execution time: 29.05 sec
Success: 5      Errors: 0       Avg rate: 0.20 qps      Execution time: 30.05 sec
Success: 5      Errors: 0       Avg rate: 0.20 qps      Execution time: 31.05 sec
^C
Success: 5      Errors: 0       Avg rate: 0.20 qps      Execution time: 31.35 sec
Avg rate based on total execution time and success connections: 0.16 qps
[root@dev ~]# ./zabbix-agent-stress-test.py -s 127.0.0.1 -k docker.discovery
Starting 1 threads, host: 127.0.0.1:10050, key: docker.discovery
Success: 5      Errors: 0       Avg rate: 6.26 qps      Execution time: 1.00 sec
Success: 5      Errors: 0       Avg rate: 6.26 qps      Execution time: 2.00 sec
Success: 12     Errors: 0       Avg rate: 7.45 qps      Execution time: 3.00 sec
Success: 20     Errors: 0       Avg rate: 6.77 qps      Execution time: 4.00 sec
Success: 28     Errors: 0       Avg rate: 7.82 qps      Execution time: 5.00 sec
Success: 36     Errors: 0       Avg rate: 7.21 qps      Execution time: 6.01 sec
Success: 43     Errors: 0       Avg rate: 10.22 qps     Execution time: 7.01 sec
Success: 43     Errors: 0       Avg rate: 10.22 qps     Execution time: 8.01 sec
Success: 50     Errors: 0       Avg rate: 6.79 qps      Execution time: 9.01 sec
Success: 57     Errors: 0       Avg rate: 6.11 qps      Execution time: 10.01 sec
Success: 66     Errors: 0       Avg rate: 8.50 qps      Execution time: 11.01 sec
Success: 73     Errors: 0       Avg rate: 6.51 qps      Execution time: 12.01 sec
Success: 81     Errors: 0       Avg rate: 7.18 qps      Execution time: 13.01 sec
Success: 82     Errors: 0       Avg rate: 7.85 qps      Execution time: 14.01 sec
Success: 87     Errors: 0       Avg rate: 6.54 qps      Execution time: 15.02 sec
Success: 95     Errors: 0       Avg rate: 7.84 qps      Execution time: 16.02 sec
Success: 103    Errors: 0       Avg rate: 9.24 qps      Execution time: 17.02 sec
Success: 111    Errors: 0       Avg rate: 9.94 qps      Execution time: 18.02 sec
Success: 119    Errors: 0       Avg rate: 7.63 qps      Execution time: 19.02 sec
Success: 120    Errors: 0       Avg rate: 6.70 qps      Execution time: 20.12 sec
Success: 121    Errors: 0       Avg rate: 3.61 qps      Execution time: 21.12 sec
Success: 128    Errors: 0       Avg rate: 8.46 qps      Execution time: 22.12 sec
Success: 136    Errors: 0       Avg rate: 7.63 qps      Execution time: 23.12 sec
Success: 144    Errors: 0       Avg rate: 6.21 qps      Execution time: 24.12 sec
Success: 150    Errors: 0       Avg rate: 6.89 qps      Execution time: 25.12 sec
Success: 157    Errors: 0       Avg rate: 10.87 qps     Execution time: 26.18 sec
Success: 160    Errors: 0       Avg rate: 7.52 qps      Execution time: 27.18 sec
Success: 168    Errors: 0       Avg rate: 9.81 qps      Execution time: 28.18 sec
Success: 174    Errors: 0       Avg rate: 6.69 qps      Execution time: 29.18 sec
Success: 181    Errors: 0       Avg rate: 6.35 qps      Execution time: 30.18 sec
Success: 188    Errors: 0       Avg rate: 7.64 qps      Execution time: 31.19 sec
^C
Success: 193    Errors: 0       Avg rate: 8.83 qps      Execution time: 31.79 sec
Avg rate based on total execution time and success connections: 6.07 qps

How it works

See https://blog.docker.com/2013/10/gathering-lxc-docker-containers-metrics/ Metrics for containers are read from cgroup file system. Docker API is used for discovering and some keys. However root or docker permissions are required for communication with Docker via unix socket. You can test API also in your command line:

echo -e "GET /containers/json?all=0 HTTP/1.0\r\n" | nc -U /var/run/docker.sock
# or if you have curl 7.40+
curl --unix-socket /var/run/docker.sock --no-buffer -XGET v1.24/containers/json?all=0

Recommended docs

Built-in Zabbix Docker monitoring

Keep in mind that Zabbix itself supports Docker monitoring. It is available only for agent2 - see Zabbix agent2 doc.

Contributors

Thank you to all project contributors.

Author

Devops Monitoring Expert, who loves monitoring systems and cutting/bleeding edge technologies: Docker, Kubernetes, ECS, AWS, Google GCP, Terraform, Lambda, Zabbix, Grafana, Elasticsearch, Kibana, Prometheus, Sysdig,...

Summary:

Professional devops / monitoring / consulting services:

Monitoring Artist

About

:whale: Docker/Kubernetes/Mesos/Marathon/Chronos/LXC/LXD/Swarm container monitoring - Docker image, Zabbix template and C module

https://hub.docker.com/r/monitoringartist/zabbix-agent-xxl-limited/

License:GNU General Public License v2.0

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