[ops-guide] Openstack process
1. Added openstack process 2. Minor restructure to seperate openstack components from 3rd party software. Change-Id: If2fd671f1407f9b7fe06aab4266f43280d50b80f Closes-bug: 1457768
This commit is contained in:
Shaun O Meara
daz
parent
ae2f313fb7
commit
f4b046bbf4
@ -8,14 +8,6 @@ creating a functional cloud. The latter involves monitoring resource
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usage over time in order to make informed decisions about potential
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bottlenecks and upgrades.
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**Nagios** is an open source monitoring service. It's capable of executing
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arbitrary commands to check the status of server and network services,
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remotely executing arbitrary commands directly on servers, and allowing
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servers to push notifications back in the form of passive monitoring.
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Nagios has been around since 1999. Although newer monitoring services
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are available, Nagios is a tried-and-true systems administration
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staple.
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Process Monitoring
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~~~~~~~~~~~~~~~~~~
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@ -38,31 +30,46 @@ the ``nova-api`` service is running on the cloud controller:
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/usr/bin/nova-api --config-file=/etc/nova/nova.conf
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root 24121 0.0 0.0 11688 912 pts/5 S+ 13:07 0:00 grep nova-api
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You can create automated alerts for critical processes by using Nagios
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and NRPE. For example, to ensure that the ``nova-compute`` process is
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running on compute nodes, create an alert on your Nagios server that
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looks like this:
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.. code-block:: none
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The OpenStack processes that should be monitored depend on the specific
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configuration of the environment, but can include:
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define service {
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host_name c01.example.com
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check_command check_nrpe_1arg!check_nova-compute
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use generic-service
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notification_period 24x7
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contact_groups sysadmins
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service_description nova-compute
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}
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**Compute service (nova)**
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Then on the actual compute node, create the following NRPE
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configuration:
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* nova-api
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* nova-scheduler
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* nova-conductor
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* nova-novncproxy
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* nova-cert
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* nova-compute
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.. code-block:: none
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**Block Storage service (cinder)**
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\command[check_nova-compute]=/usr/lib/nagios/plugins/check_procs -c 1: -a nova-compute
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* cinder-volume
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* cinder-api
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* cinder-scheduler
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Nagios checks that at least one ``nova-compute`` service is running at
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all times.
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**Networking service (neutron)**
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* neutron-api
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* neutron-server
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* neutron-openvswitch-agent
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* neutron-dhcp-agent
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* neutron-l3-agent
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* neutron-metadata-agent
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**Image service (glance)**
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* glance-api
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* glance-registry
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**Identity service (keystone)**
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The keystone processes can run standalone, but are often run within Apache
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as WSGI applications.
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* keystone-public
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* keystone-admin
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Resource Alerting
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~~~~~~~~~~~~~~~~~
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@ -81,96 +88,10 @@ Some of the resources that you want to monitor include:
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* Network I/O
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* Available vCPUs
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For example, to monitor disk capacity on a compute node with Nagios, add
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the following to your Nagios configuration:
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Telemetry Service
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~~~~~~~~~~~~~~~~~
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.. code-block:: none
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define service {
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host_name c01.example.com
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check_command check_nrpe!check_all_disks!20% 10%
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use generic-service
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contact_groups sysadmins
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service_description Disk
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}
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On the compute node, add the following to your NRPE configuration:
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.. code-block:: none
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command[check_all_disks]=/usr/lib/nagios/plugins/check_disk -w $ARG1$ -c $ARG2$ -e
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Nagios alerts you with a WARNING when any disk on the compute node is 80
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percent full and CRITICAL when 90 percent is full.
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StackTach
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~~~~~~~~~
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StackTach is a tool that collects and reports the notifications sent by
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``nova``. Notifications are essentially the same as logs but can be much
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more detailed. Nearly all OpenStack components are capable of generating
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notifications when significant events occur. Notifications are messages
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placed on the OpenStack queue (generally RabbitMQ) for consumption by
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downstream systems. An overview of notifications can be found at `System
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Usage
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Data <https://wiki.openstack.org/wiki/SystemUsageData>`_.
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To enable ``nova`` to send notifications, add the following to
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``nova.conf``:
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.. code-block:: ini
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notification_topics=monitor
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notification_driver=messagingv2
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Once ``nova`` is sending notifications, install and configure StackTach.
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StackTach workers for Queue consumption and pipeling processing are
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configured to read these notifications from RabbitMQ servers and store
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them in a database. Users can inquire on instances, requests and servers
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by using the browser interface or command line tool,
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`Stacky <https://github.com/rackerlabs/stacky>`_. Since StackTach is
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relatively new and constantly changing, installation instructions
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quickly become outdated. Please refer to the `StackTach Git
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repo <https://git.openstack.org/cgit/openstack/stacktach>`_ for
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instructions as well as a demo video. Additional details on the latest
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developments can be discovered at the `official
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page <http://stacktach.com/>`_
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Logstash
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~~~~~~~~
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Logstash is a high performance indexing and search engine for logs. Logs
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from Jenkins test runs are sent to logstash where they are indexed and
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stored. Logstash facilitates reviewing logs from multiple sources in a
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single test run, searching for errors or particular events within a test
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run, and searching for log event trends across test runs.
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There are four major layers in Logstash setup which are
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* Log Pusher
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* Log Indexer
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* ElasticSearch
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* Kibana
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Each layer scales horizontally. As the number of logs grows you can add
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more log pushers, more Logstash indexers, and more ElasticSearch nodes.
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Logpusher is a pair of Python scripts which first listens to Jenkins
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build events and converts them into Gearman jobs. Gearman provides a
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generic application framework to farm out work to other machines or
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processes that are better suited to do the work. It allows you to do
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work in parallel, to load balance processing, and to call functions
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between languages. Later Logpusher performs Gearman jobs to push log
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files into logstash. Logstash indexer reads these log events, filters
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them to remove unwanted lines, collapse multiple events together, and
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parses useful information before shipping them to ElasticSearch for
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storage and indexing. Kibana is a logstash oriented web client for
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ElasticSearch.
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OpenStack Telemetry
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~~~~~~~~~~~~~~~~~~~
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An integrated OpenStack project (code-named :term:`ceilometer`) collects
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The Telemetry service (:term:`ceilometer`) collects
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metering and event data relating to OpenStack services. Data collected
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by the Telemetry service could be used for billing. Depending on
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deployment configuration, collected data may be accessible to users
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@ -182,7 +103,7 @@ Guide <http://docs.openstack.org/admin-guide/telemetry.html>`_ or
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in the `developer
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documentation <http://docs.openstack.org/developer/ceilometer>`_.
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OpenStack-Specific Resources
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OpenStack Specific Resources
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Resources such as memory, disk, and CPU are generic resources that all
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@ -392,3 +313,130 @@ collectd is out of the scope of this book, a good starting point would
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be to use collectd to store the result as a COUNTER data type. More
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information can be found in `collectd's
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documentation <https://collectd.org/wiki/index.php/Data_source>`_.
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Monitoring Tools
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~~~~~~~~~~~~~~~~
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Nagios
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------
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Nagios is an open source monitoring service. It is capable of executing
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arbitrary commands to check the status of server and network services,
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remotely executing arbitrary commands directly on servers, and allowing
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servers to push notifications back in the form of passive monitoring.
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Nagios has been around since 1999. Although newer monitoring services
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are available, Nagios is a tried-and-true systems administration
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staple.
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You can create automated alerts for critical processes by using Nagios
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and NRPE. For example, to ensure that the ``nova-compute`` process is
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running on Compute nodes, create an alert on your Nagios server:
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.. code-block:: ini
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define service {
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host_name c01.example.com
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check_command check_nrpe_1arg!check_nova-compute
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use generic-service
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notification_period 24x7
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contact_groups sysadmins
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service_description nova-compute
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}
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On the Compute node, create the following NRPE
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configuration:
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.. code-block:: ini
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command[check_nova-compute]=/usr/lib/nagios/plugins/check_procs -c 1: -a nova-compute
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Nagios checks that at least one ``nova-compute`` service is running at
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all times.
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For resource alerting, for example, monitor disk capacity on a compute node
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with Nagios, add the following to your Nagios configuration:
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.. code-block:: ini
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define service {
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host_name c01.example.com
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check_command check_nrpe!check_all_disks!20% 10%
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use generic-service
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contact_groups sysadmins
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service_description Disk
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}
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On the compute node, add the following to your NRPE configuration:
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.. code-block:: ini
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command[check_all_disks]=/usr/lib/nagios/plugins/check_disk -w $ARG1$ -c $ARG2$ -e
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Nagios alerts you with a `WARNING` when any disk on the compute node is 80
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percent full and `CRITICAL` when 90 percent is full.
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StackTach
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---------
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StackTach is a tool that collects and reports the notifications sent by
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nova. Notifications are essentially the same as logs but can be much
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more detailed. Nearly all OpenStack components are capable of generating
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notifications when significant events occur. Notifications are messages
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placed on the OpenStack queue (generally RabbitMQ) for consumption by
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downstream systems. An overview of notifications can be found at `System
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Usage
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Data <https://wiki.openstack.org/wiki/SystemUsageData>`_.
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To enable nova to send notifications, add the following to the
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``nova.conf`` configuration file:
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.. code-block:: ini
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notification_topics=monitor
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notification_driver=messagingv2
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Once nova is sending notifications, install and configure StackTach.
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StackTach works for queue consumption and pipeline processing are
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configured to read these notifications from RabbitMQ servers and store
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them in a database. Users can inquire on instances, requests, and servers
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by using the browser interface or command-line tool,
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`Stacky <https://github.com/rackerlabs/stacky>`_. Since StackTach is
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relatively new and constantly changing, installation instructions
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quickly become outdated. Refer to the `StackTach Git
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repository <https://git.openstack.org/cgit/openstack/stacktach>`_ for
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instructions as well as a demostration video. Additional details on the latest
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developments can be discovered at the `official
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page <http://stacktach.com/>`_
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Logstash
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~~~~~~~~
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Logstash is a high performance indexing and search engine for logs. Logs
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from Jenkins test runs are sent to logstash where they are indexed and
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stored. Logstash facilitates reviewing logs from multiple sources in a
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single test run, searching for errors or particular events within a test
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run, and searching for log event trends across test runs.
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There are four major layers in Logstash setup which are:
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* Log Pusher
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* Log Indexer
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* ElasticSearch
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* Kibana
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Each layer scales horizontally. As the number of logs grows you can add
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more log pushers, more Logstash indexers, and more ElasticSearch nodes.
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Logpusher is a pair of Python scripts that first listens to Jenkins
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build events, then converts them into Gearman jobs. Gearman provides a
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generic application framework to farm out work to other machines or
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processes that are better suited to do the work. It allows you to do
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work in parallel, to load balance processing, and to call functions
|
||||
between languages. Later, Logpusher performs Gearman jobs to push log
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files into logstash. Logstash indexer reads these log events, filters
|
||||
them to remove unwanted lines, collapse multiple events together, and
|
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parses useful information before shipping them to ElasticSearch for
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||||
storage and indexing. Kibana is a logstash oriented web client for
|
||||
ElasticSearch.
|
||||
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||||
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