github.com/rvaralda/deis@v1.4.1/docs/managing_deis/platform_monitoring.rst (about)

     1  :title: Platform monitoring
     2  :description: Configuring platform monitoring.
     3  
     4  .. _platform_monitoring:
     5  
     6  Platform monitoring
     7  ===================
     8  
     9  While Deis itself doesn't have a built-in monitoring system, Deis components and deployed
    10  applications alike run entirely within Docker containers. This means that monitoring tools and
    11  services which support Docker containers should work with Deis. A few tools and monitoring services
    12  which support Docker integrations are detailed below.
    13  
    14  Tools
    15  -----
    16  
    17  cadvisor
    18  ~~~~~~~~
    19  
    20  Google's Container Advisor (`cadvisor`_) runs inside a Docker container and shows memory and CPU
    21  usage for all containers running on the host. To run cAdvisor:
    22  
    23  .. code-block:: console
    24  
    25      sudo docker run \
    26      --volume=/:/rootfs:ro \
    27      --volume=/var/run:/var/run:rw \
    28      --volume=/sys:/sys:ro \
    29      --volume=/var/lib/docker/:/var/lib/docker:ro \
    30      --publish=8080:8080 \
    31      --detach=true \
    32      --name=cadvisor \
    33      google/cadvisor:latest
    34  
    35  To run cAdvisor on all hosts in the cluster, you can submit and start a fleet service:
    36  
    37  .. code-block:: console
    38  
    39      [Unit]
    40      Description=Google Container Advisor
    41      Requires=docker.socket
    42      After=docker.socket
    43  
    44      [Service]
    45      ExecStartPre=/bin/sh -c "docker history google/cadvisor:latest >/dev/null || docker pull google/cadvisor:latest"
    46      ExecStart=/usr/bin/docker run --volume=/:/rootfs:ro --volume=/var/run:/var/run:rw --volume=/sys:/sys:ro --volume=/var/lib/docker/:/var/lib/docker:ro --publish=8080:8080 --name=cadvisor google/cadvisor:latest
    47  
    48      [Install]
    49      WantedBy=multi-user.target
    50  
    51      [X-Fleet]
    52      Global=true
    53  
    54  Save the file as ``cadvisor.service``. Load and start the service with
    55  ``fleetctl load cadvisor.service && fleetctl start cadvisor.service``.
    56  
    57  The web interface will be accessible at port 8080 on each host.
    58  
    59  In addition to starting a cAdvisor instance on each CoreOS host, there's also a project called
    60  `heapster`_ from the Google Cloud Platform team, which seems to be a cluster-aware cAdvisor.
    61  
    62  Monitoring services
    63  -------------------
    64  
    65  These are a few monitoring services which are known to provide Docker integrations.
    66  Additions to this reference guide are much appreciated!
    67  
    68  Datadog
    69  ~~~~~~~
    70  
    71  The `Datadog`_ cloud monitoring service provides a monitor agent which runs on the host and provides
    72  metrics for all Docker containers (which is functionally similar to cAdvisor's implementation).
    73  See `this blog post`_ for details. The `Datadog agent`_ for Docker can be run on a single host as
    74  follows:
    75  
    76  .. code-block:: console
    77  
    78      docker run -d --privileged --name dd-agent -h `hostname` -v /var/run/docker.sock:/var/run/docker.sock -v /proc/mounts:/host/proc/mounts:ro -v /sys/fs/cgroup/:/host/sys/fs/cgroup:ro -e API_KEY=YOUR_REAL_API_KEY datadog/docker-dd-agent
    79  
    80  Be sure to substitute ``YOUR_REAL_API_KEY`` for your Datadog API key.
    81  
    82  To run Datadog for the entire cluster, you can submit and start a fleet service (again, substitute ``YOUR_REAL_API_KEY``):
    83  
    84  .. code-block:: console
    85  
    86      [Unit]
    87      Description=Datadog
    88      Requires=docker.socket
    89      After=docker.socket
    90  
    91      [Service]
    92      ExecStartPre=/bin/sh -c "docker history datadog/docker-dd-agent:latest >/dev/null || docker pull datadog/docker-dd-agent:latest"
    93      ExecStart=/usr/bin/docker run --privileged --name dd-agent -h %H -v /var/run/docker.sock:/var/run/docker.sock -v /proc/mounts:/host/proc/mounts:ro -v /sys/fs/cgroup/:/host/sys/fs/cgroup:ro -e API_KEY=YOUR_REAL_API_KEY datadog/docker-dd-agent
    94  
    95      [Install]
    96      WantedBy=multi-user.target
    97  
    98      [X-Fleet]
    99      Global=true
   100  
   101  Save the file as ``datadog.service``. Load and start the service with
   102  ``fleetctl load datadog.service && fleetctl start datadog.service``.
   103  
   104  Shortly thereafter, you should start to see metrics from your Deis cluster appear in your Datadog dashboard.
   105  
   106  New Relic
   107  ~~~~~~~~~
   108  
   109  The `New Relic`_ monitoring service's agent will run on the CoreOS host and report metrics to New Relic.
   110  
   111  Unlike Datadog, however, the agent running on the host doesn't send metrics for individual containers
   112  unless those containers have been built with a Dockerfile that installs their own instance of the agent.
   113  
   114  The Deis community's own Johannes Würbach has developed a fleet service for New Relic in his
   115  `newrelic-sysmond`_ repository.
   116  
   117  .. _`cadvisor`: https://github.com/google/cadvisor
   118  .. _`Datadog`: https://www.datadoghq.com
   119  .. _`Datadog agent`: https://github.com/DataDog/docker-dd-agent
   120  .. _`heapster`: https://github.com/GoogleCloudPlatform/heapster/blob/master/clusters/coreos/README.md
   121  .. _`this blog post`: https://www.datadoghq.com/2014/06/monitor-docker-datadog/
   122  .. _`New Relic`: http://newrelic.com/
   123  .. _`newrelic-sysmond`: https://github.com/johanneswuerbach/newrelic-sysmond-service