tripleo-docs/doc/source/advanced_deployment/ops_tools.rst
Juan Badia Payno e9a89446bd Update the opstools documentation
Change-Id: I93754d6a4b605a904bc87e3f03dea3c5af5b340f
2017-03-22 16:43:35 +01:00

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Deploying Operational Tools

TripleO comes with an optional suite of tools designed to help operators maintain an OpenStack environment. The tools perform the following functions:

  • Availability Monitoring
  • Centralized Logging
  • Performance Monitoring

This document will go through the presentation and installation of these tools.

Architecture

  1. Operational Tool Server:
  2. Undercloud:
    • There is no operational tools installed by default on the undercloud
  3. Overcloud:

Deploying the Operational Tool Server

There is an ansible project called opstools-ansible (OpsTools) on github that helps to install the Operator Server, further documentation of the operational tool server instalation can be founded at (OpsToolsDoc).

Deploying the Undercloud

As there is nothing to install on the undercloud nothing needs to be done.

Before deploying the Overcloud

Note

The template_deploy document has a more detailed explanation of the following steps.

  1. Operational tools configuration files:

The files have some documentation about the parameters that need to be configured

  • Availability Monitoring:

    /usr/share/openstack-tripleo-heat-templates/environments/monitoring-environment.yaml
  • Centralized Logging:

    /usr/share/openstack-tripleo-heat-templates/environments/logging-environment.yaml
  • Performance Monitoring:

    /usr/share/openstack-tripleo-heat-templates/environments/collectd-environment.yaml
  1. Configure the environment

The easiest way to configure our environment will be to create a parameter file, let's called paramters.yaml with all the paramteres defined.

  • Availability Monitoring:

    MonitoringRabbitHost: server_ip          # Server were the rabbitmq was installed
    MonitoringRabbitPort: 5672               # Rabbitmq port
    MonitoringRabbitUserName: sensu_user     # the rabbitmq user to be used by sensu
    MonitoringRabbitPassword: sensu_password # The password of the sensu user
    MonitoringRabbitUseSSL: false            # Set to false
    MonitoringRabbitVhost: "/sensu_vhost"    # The virtual host of the rabbitmq
  • Centralized Logging:

    LoggingServers:        # The servers 
      - host: server_ip    # The ip of the server
        port: 24224        # Port to send the logs [ 24224 plain & 24284 SSL ] 
    LoggingUsesSSL: false  # Plain or SSL connections
                           # If LoggingUsesSSL is set to  false the following lines can 
                           # be deleted 
    LoggingSharedKey: secret           # The key
    LoggingSSLCertificate: |           # The content of the SSL Certificate
      -----BEGIN CERTIFICATE-----
      ...contens of server.pem here...
      -----END CERTIFICATE-----
  • Performance Monitoring:

    CollectdServer: collectd0.example.com   # Collectd server, where the data is going to be sent
    CollectdServerPort: 25826               # Collectd port
    # CollectdSecurityLevel: None           # Security by default None the other values are
                                            #   Encrypt & Sign, but the two following parameters
                                            #   need to be set too
    # CollectdUsername: user                # User to connect to the server
    # CollectdPassword: password            # Password to connect to the server
    
                                            # Collectd, by default, comes with several plugins
                                            #  extra plugins can added on this parameter
    CollectdExtraPlugins:
      - disk                                # disk plugin
      - df                                  # df   plugin
    ExtraConfig:                            # If the plugins need to be set, this is the location
      collectd::plugin::disk::disks:
        - "/^[vhs]d[a-f][0-9]?$/"
      collectd::plugin::df::mountpoints:
        - "/"
      collectd::plugin::df::ignoreselected: false
  1. Continue following the TripleO instructions for deploying an overcloud:

    openstack overcloud deploy --templates \
       [-e /usr/share/openstack-tripleo-heat-templates/environments/monitoring-environment.yaml] \
       [-e  /usr/share/openstack-tripleo-heat-templates/environments/logging-environment.yaml] \
       [-e /usr/share/openstack-tripleo-heat-templates/environments/collectd-environment.yaml] \
       -e parameters.yaml
  2. Wait for the completion of the overcloud deployment process.