There are multiple ways to monitor Docker containers.
- Docker CLI provides the
docker container stats
API that gives basic information about the running containers. - Docker Remote API provides more detailed information about the containers.
- Starting with Docker 1.13, there is an experimental feature with a Prometheus endpoint
- cAdvisor is an open source tool that provides last container usage and performance characteristics. This data can be stored in a time series database, such as InfluxDB. This data can then be shown in a fancy graph using a Kibana dashboard.
These options were covered in detail in an earlier blog.
There are other commercial options like Docker EE, Sysdig, Datadog, New Relic, App Dynamics and others. If you are running containers on AWS, then CloudWatch can provide integrated monitoring.
OSX is my primary development platform. But recently, I needed a way to monitor Docker containers using the Remote API (aka REST API) on a Windows machine. The output of the REST API is exactly same independent of the operating system. But the way to access the Docker REST API using curl
is different on an OSX and a Windows machine. This blog will explain how to exactly access this API on these two operating systems.
Check out 1.27 swagger specification to learn more about the capabilities of the REST API. A nicer and a more readable version of the API can be seen using Swagger UI. This is broken until #32649 is fixed.
Complete details about how the REST API corresponds to different Docker versions is explained in Docker REST API Versioning.
We’ll dig into this a bit later but first let’s take a look on how this API can be accessed.
Docker Remote API on OSX
On OSX, curl
connects using a Unix domain socket as shown:
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curl --unix-sock /var/run/docker.sock http://localhost/containers/<name-or-id>/stats
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A WildFly container can be started as:
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docker run --name web -d jboss/wildfly
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Stats can then be obtained using the command:
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curl --unix-socket /var/run/docker.sock http://localhost/containers/web/stats
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This will start printing stats as:
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{
"read":"2017-04-16T21:25:06.99499178Z",
"preread":"0001-01-01T00:00:00Z",
"pids_stats":{
"current":40
},
"blkio_stats":{
"io_service_bytes_recursive":[
{
"major":8,
"minor":0,
"op":"Read",
"value":0
},
{
"major":8,
"minor":0,
"op":"Write",
"value":4096
},
{
"major":8,
"minor":0,
"op":"Sync",
"value":0
},
{
"major":8,
"minor":0,
"op":"Async",
"value":4096
},
{
"major":8,
"minor":0,
"op":"Total",
"value":4096
}
],
"io_serviced_recursive":[
{
"major":8,
"minor":0,
"op":"Read",
"value":0
},
{
"major":8,
"minor":0,
"op":"Write",
"value":1
},
{
"major":8,
"minor":0,
"op":"Sync",
"value":0
},
{
"major":8,
"minor":0,
"op":"Async",
"value":1
},
{
"major":8,
"minor":0,
"op":"Total",
"value":1
}
],
"io_queue_recursive":[
],
"io_service_time_recursive":[
],
"io_wait_time_recursive":[
],
"io_merged_recursive":[
],
"io_time_recursive":[
],
"sectors_recursive":[
]
},
"num_procs":0,
"storage_stats":{
},
"cpu_stats":{
"cpu_usage":{
"total_usage":9569101779,
"percpu_usage":[
4920699125,
4648402654
],
"usage_in_kernelmode":1050000000,
"usage_in_usermode":7730000000
},
"system_cpu_usage":5431500000000,
"online_cpus":2,
"throttling_data":{
"periods":0,
"throttled_periods":0,
"throttled_time":0
}
},
"precpu_stats":{
"cpu_usage":{
"total_usage":0,
"usage_in_kernelmode":0,
"usage_in_usermode":0
},
"throttling_data":{
"periods":0,
"throttled_periods":0,
"throttled_time":0
}
},
"memory_stats":{
"usage":266448896,
"max_usage":285159424,
"stats":{
"active_anon":241647616,
"active_file":90112,
"cache":225280,
"dirty":20480,
"hierarchical_memory_limit":9223372036854772000,
"hierarchical_memsw_limit":9223372036854772000,
"inactive_anon":20971520,
"inactive_file":135168,
"mapped_file":32768,
"pgfault":81529,
"pgmajfault":1,
"pgpgin":76795,
"pgpgout":12624,
"rss":262619136,
"rss_huge":0,
"swap":57344,
"total_active_anon":241647616,
"total_active_file":90112,
"total_cache":225280,
"total_dirty":20480,
"total_inactive_anon":20971520,
"total_inactive_file":135168,
"total_mapped_file":32768,
"total_pgfault":81529,
"total_pgmajfault":1,
"total_pgpgin":76795,
"total_pgpgout":12624,
"total_rss":262619136,
"total_rss_huge":0,
"total_swap":57344,
"total_unevictable":0,
"total_writeback":0,
"unevictable":0,
"writeback":0
},
"limit":2096181248
},
"name":"/web",
"id":"b6ad4af36f05ce100877d2d60c72e01b87f3627682e4492e7abe2a099b709953",
"networks":{
"eth0":{
"rx_bytes":2764,
"rx_packets":50,
"rx_errors":0,
"rx_dropped":0,
"tx_bytes":0,
"tx_packets":0,
"tx_errors":0,
"tx_dropped":0
}
}
}
|
These stats are refreshed every second.
Any other REST API can be invoked very easily with this. This is simple and straight forward.
Install Docker on Windows
Docker installation on Windows depends on the flavor of your operating system.
Are you using Windows 10+ Pro 64-bit, then use Docker for Windows.
If using any older version of Windows, then you need to use Docker Toolbox.
Are you installing Windows in a virtual machine? Then Virtual Box cannot be used to create the VM. This is because Virtual Box does not support nested virtualization. This is required as Docker Toolbox uses Virtual Box to create and start Docker Machine. VMWare Fusion seems to work fine here though.
Now that you know that VMWare Fusion needs to be used, make sure you enable nested virtualization before starting the virtual machine.
Many thanks to Stefan Scherer (@stefscherer) for helping me understand the Windows configuration details.
Let’s see how the Docker REST API can now be invoked.
Docker Remote API on Windows 7/8
This section shows how to invoke the REST API using curl
on Windows 7/8.
The REST API can be invoked using curl
as shown:
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curl --cert <CERT> --cacert <CA_CERT> --key <KEY> https://localhost/containers/<name-or-id>/stats
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First of all, the REST API, /containers/<name-or-id>/stats
, is exactly the same. The way this API can be invoked is a bit different.
There are four differences: The first three parameters specify security credentials for the Docker Machine generated by Docker Toolbox on your Windows box:
<CERT>
is the SSL certificate for Docker Machine<CA_CERT>
is the Certificate Authority certificate for the Docker Machine<KEY>
is the key generated for the Docker Machine
The values of these configuration parameters is those generated by docker-machine
CLI.
The last change is that the protocol is changed from http
to https
.
Here is the exact command that worked on Windows 7 VM:
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$ curl --cert /c/Users/Arun\ Gupta/.docker/machine/machines/default/cert.pem --cacert /c/Users/Arun\ Gupta/.docker/machine/machines/default/ca.pem --key /c/Users/Arun\ Gupta/.docker/machine/machines/default/key.pem https://192.168.99.100:2376/containers/web/stats
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This invocation will print the exact same stats output on Windows 7 VM.
Now that you know how to use this API on OSX and Windows, you can also this API to do everything that Docker CLI. This is because the Docker CLI is just a convenient wrapper over the REST API. So a docker container run
command is invoking the appropriate REST API on the Docker Host.
Docker Remote API on Windows 10
If you are using Windows 10, then use Docker for Windows. After that, you need to figure out which curl
command to be used. There are couple of options:
- Use Bash shell on Windows. It has
curl
command that works like Unix command that we all know pretty well. In this case, the REST API can be invoked as:
123curl http://localhost:2375/containers/web/stats2375
on Windows. - If you are Powershell user, then install
curl
command as:
123choco install -u curl
123curl.exe http://localhost:2375/containers/web/statscurl
alias in Powershell and that is an alias forInvoke-WebRequest
. So make sure to usecurl.exe
to invoke the REST API as this is the command installed using Chocolatey.
This blog provided different options of how to invoke the Docker Remote API using curl
on Windows and OSX.