Red Hat Summit Red Hat Summit지원콘솔개발자평가판 시작연락처

이 콘텐츠는 선택한 언어로 제공되지 않습니다.

Logging, Monitoring, and Troubleshooting Guide

Red Hat OpenStack Platform 10

An In-Depth Guide to OpenStack Logging, Monitoring, and Troubleshooting

OpenStack Documentation Team

Abstract

This guide provides a detailed overview on logging and monitoring a Red Hat OpenStack Platform environment, and how to solve problems.

Preface
링크 복사

This document provides an overview of the logging and monitoring capabilities that are availbale in a Red Hat OpenStack Platform environment, and how to troubleshoot possible issues.

Chapter 1. Logging
링크 복사

Red Hat OpenStack Platform writes informational messages to specific log files; you can use these messages for troubleshooting and monitoring system events.

Note

You need not attach the individual log files to your support cases manually. All the required information will be gathered automatically by the sosreport utility, which is described in Chapter 3, Troubleshooting.

1.1. Log Files for OpenStack Services
링크 복사

Each OpenStack component has a separate logging directory containing files specific to a running service.

1.1.1. Bare Metal Provisioning (ironic) Log Files
링크 복사

Expand
ServiceService NameLog Path

OpenStack Ironic API

openstack-ironic-api.service

/var/log/ironic/ironic-api.log

OpenStack Ironic Conductor

openstack-ironic-conductor.service

/var/log/ironic/ironic-conductor.log

1.1.2. Block Storage (cinder) Log Files
링크 복사

Expand
ServiceService NameLog Path

Block Storage API

openstack-cinder-api.service

/var/log/cinder/api.log

Block Storage Backup

openstack-cinder-backup.service

/var/log/cinder/backup.log

Informational messages

The cinder-manage command

/var/log/cinder/cinder-manage.log

Block Storage Scheduler

openstack-cinder-scheduler.service

/var/log/cinder/scheduler.log

Block Storage Volume

openstack-cinder-volume.service

/var/log/cinder/volume.log

1.1.3. Compute (nova) Log Files
링크 복사

Expand
ServiceService NameLog Path

OpenStack Compute API service

openstack-nova-api.service

/var/log/nova/nova-api.log

OpenStack Compute certificate server

openstack-nova-cert.service

/var/log/nova/nova-cert.log

OpenStack Compute service

openstack-nova-compute.service

/var/log/nova/nova-compute.log

OpenStack Compute Conductor service

openstack-nova-conductor.service

/var/log/nova/nova-conductor.log

OpenStack Compute VNC console authentication server

openstack-nova-consoleauth.service

/var/log/nova/nova-consoleauth.log

Informational messages

nova-manage command

/var/log/nova/nova-manage.log

OpenStack Compute NoVNC Proxy service

openstack-nova-novncproxy.service

/var/log/nova/nova-novncproxy.log

OpenStack Compute Scheduler service

openstack-nova-scheduler.service

/var/log/nova/nova-scheduler.log

1.1.4. Dashboard (horizon) Log Files
링크 복사

Expand
ServiceService NameLog Path

Log of certain user interactions

Dashboard interface

/var/log/horizon/horizon.log

The Apache HTTP server uses several additional log files for the Dashboard web interface, which can be accessed using a web browser or command-line clients (keystone, nova). The following log files can be helpful in tracking the usage of the Dashboard and diagnosing faults:

Expand
PurposeLog Path

All processed HTTP requests

/var/log/httpd/horizon_access.log

HTTP errors

/var/log/httpd/horizon_error.log

Admin-role API requests

/var/log/httpd/keystone_wsgi_admin_access.log

Admin-role API errors

/var/log/httpd/keystone_wsgi_admin_error.log

Member-role API requests

/var/log/httpd/keystone_wsgi_main_access.log

Member-role API errors

/var/log/httpd/keystone_wsgi_main_error.log

Note

There is also /var/log/httpd/default_error.log, which stores errors reported by other web services running on the same host.

1.1.5. Data Processing (sahara) Log Files
링크 복사

Expand
ServiceService NameLog Path

Sahara API Server

openstack-sahara-all.service
openstack-sahara-api.service

/var/log/sahara/sahara-all.log
/var/log/messages

Sahara Engine Server

openstack-sahara-engine.service

/var/log/messages

1.1.6. Database as a Service (trove) Log Files
링크 복사

Expand
ServiceService NameLog Path

OpenStack Trove API Service

openstack-trove-api.service

/var/log/trove/trove-api.log

OpenStack Trove Conductor Service

openstack-trove-conductor.service

/var/log/trove/trove-conductor.log

OpenStack Trove guestagent Service

openstack-trove-guestagent.service

/var/log/trove/logfile.txt

OpenStack Trove taskmanager Service

openstack-trove-taskmanager.service

/var/log/trove/trove-taskmanager.log

1.1.7. Identity Service (keystone) Log Files
링크 복사

Expand
ServiceService NameLog Path

OpenStack Identity Service

openstack-keystone.service

/var/log/keystone/keystone.log

1.1.8. Image Service (glance) Log Files
링크 복사

Expand
ServiceService NameLog Path

OpenStack Image Service API server

openstack-glance-api.service

/var/log/glance/api.log

OpenStack Image Service Registry server

openstack-glance-registry.service

/var/log/glance/registry.log

1.1.9. Networking (neutron) Log Files
링크 복사

Expand
ServiceService NameLog Path

OpenStack Neutron DHCP Agent

neutron-dhcp-agent.service

/var/log/neutron/dhcp-agent.log

OpenStack Networking Layer 3 Agent

neutron-l3-agent.service

/var/log/neutron/l3-agent.log

Metadata agent service

neutron-metadata-agent.service

/var/log/neutron/metadata-agent.log

Metadata namespace proxy

n/a

/var/log/neutron/neutron-ns-metadata-proxy-UUID.log

Open vSwitch agent

neutron-openvswitch-agent.service

/var/log/neutron/openvswitch-agent.log

OpenStack Networking service

neutron-server.service

/var/log/neutron/server.log

1.1.10. Object Storage (swift) Log Files
링크 복사

OpenStack Object Storage sends logs to the system logging facility only.

Note

By default, all Object Storage log files to /var/log/swift/swift.log, using the local0, local1, and local2 syslog facilities.

The log messages of Object Storage are classified into two broad categories: those by REST API services and those by background daemons. The API service messages contain one line per API request, in a manner similar to popular HTTP servers; both the frontend (Proxy) and backend (Account, Container, Object) services post such messages. The daemon messages are less structured and typically contain human-readable information about daemons performing their periodic tasks. However, regardless of which part of Object Storage produces the message, the source identity is always at the beginning of the line.

An example of a proxy message: 

Apr 20 15:20:34 rhev-a24c-01 proxy-server: 127.0.0.1 127.0.0.1 20/Apr/2015/19/20/34 GET /v1/AUTH_zaitcev%3Fformat%3Djson%26marker%3Dtestcont HTTP/1.0 200 - python-swiftclient-2.1.0 AUTH_tk737d6... - 2 - txc454fa8ea4844d909820a-0055355182 - 0.0162 - - 1429557634.806570053 1429557634.822791100
Copy to Clipboard Toggle word wrap

An example of ad-hoc messages from background daemons: 

Apr 27 17:08:15 rhev-a24c-02 object-auditor: Object audit (ZBF). Since Mon Apr 27 21:08:15 2015: Locally: 1 passed, 0 quarantined, 0 errors files/sec: 4.34 , bytes/sec: 0.00, Total time: 0.23, Auditing time: 0.00, Rate: 0.00
Apr 27 17:08:16 rhev-a24c-02 object-auditor: Object audit (ZBF) "forever" mode completed: 0.56s. Total quarantined: 0, Total errors: 0, Total files/sec: 14.31, Total bytes/sec: 0.00, Auditing time: 0.02, Rate: 0.04
Apr 27 17:08:16 rhev-a24c-02 account-replicator: Beginning replication run
Apr 27 17:08:16 rhev-a24c-02 account-replicator: Replication run OVER
Apr 27 17:08:16 rhev-a24c-02 account-replicator: Attempted to replicate 5 dbs in 0.12589 seconds (39.71876/s)
Apr 27 17:08:16 rhev-a24c-02 account-replicator: Removed 0 dbs
Apr 27 17:08:16 rhev-a24c-02 account-replicator: 10 successes, 0 failures
Copy to Clipboard Toggle word wrap

1.1.11. Orchestration (heat) Log Files
링크 복사

Expand
ServiceService NameLog Path

OpenStack Heat API Service

openstack-heat-api.service

/var/log/heat/heat-api.log

OpenStack Heat Engine Service

openstack-heat-engine.service

/var/log/heat/heat-engine.log

Orchestration service events

n/a

/var/log/heat/heat-manage.log

1.1.12. Shared Filesystem Service (manila) Log Files
링크 복사

Expand
ServiceService NameLog Path

OpenStack Manila API Server

openstack-manila-api.service

/var/log/manila/api.log

OpenStack Manila Scheduler

openstack-manila-scheduler.service

/var/log/manila/scheduler.log

OpenStack Manila Share Service

openstack-manila-share.service

/var/log/manila/share.log

Note

Some information from the Manila Python library can also be logged in /var/log/manila/manila-manage.log.

1.1.13. Telemetry (ceilometer) Log Files
링크 복사

Expand
ServiceService NameLog Path

OpenStack ceilometer notification agent

openstack-ceilometer-notification.service

/var/log/ceilometer/agent-notification.log

OpenStack ceilometer alarm evaluation

openstack-ceilometer-alarm-evaluator.service

/var/log/ceilometer/alarm-evaluator.log

OpenStack ceilometer alarm notification

openstack-ceilometer-alarm-notifier.service

/var/log/ceilometer/alarm-notifier.log

OpenStack ceilometer API

httpd.service

/var/log/ceilometer/api.log

Informational messages

MongoDB integration

/var/log/ceilometer/ceilometer-dbsync.log

OpenStack ceilometer central agent

openstack-ceilometer-central.service

/var/log/ceilometer/central.log

OpenStack ceilometer collection

openstack-ceilometer-collector.service

/var/log/ceilometer/collector.log

OpenStack ceilometer compute agent

openstack-ceilometer-compute.service

/var/log/ceilometer/compute.log

1.1.14. Log Files for Supporting Services
링크 복사

The following services are used by the core OpenStack components and have their own log directories and files.

Expand
ServiceService NameLog Path

Message broker (RabbitMQ)

rabbitmq-server.service

/var/log/rabbitmq/rabbit@short_hostname.log
/var/log/rabbitmq/rabbit@short_hostname-sasl.log (for Simple Authentication and Security Layer related log messages)

Database server (MariaDB)

mariadb.service

/var/log/mariadb/mariadb.log

Document-oriented database (MongoDB)

mongod.service

/var/log/mongodb/mongodb.log

Virtual network switch (Open vSwitch)

openvswitch-nonetwork.service

/var/log/openvswitch/ovsdb-server.log
/var/log/openvswitch/ovs-vswitchd.log

1.2. Configure Logging Options
링크 복사

Each component maintains its own separate logging configuration in its respective configuration file. For example, in Compute, these options are set in /etc/nova/nova.conf:

  • Increase the level of informational logging by enabling debugging. This option greatly increases the amount of information captured, so you may want to consider using it only temporarily, or first reviewing your log rotation settings. 

    debug=True
    Copy to Clipboard Toggle word wrap

  • Enable verbose logging: 

    verbose=True
    Copy to Clipboard Toggle word wrap

  • Change the log file path: 

    log_dir=/var/log/nova
    Copy to Clipboard Toggle word wrap

  • Send your logs to a central syslog server: 

    use_syslog=True
syslog_log_facility=LOG_USER
    Copy to Clipboard Toggle word wrap
Note

Options are also available for timestamp configuration and log formatting, among others. Review the component’s configuration file for additional logging options.

1.3. Remote Logging Installation and Configuration
링크 복사

All OpenStack services generate and update log files. These log files record actions, errors, warnings, and other events. In a distributed environment like OpenStack, collecting these logs in a central location simplifies debugging and administration.

For more information about centralized logging, see Monitoring Tools Configuration in the Advanced Overcloud Customization guide.

Chapter 2. Capacity Metering using the Telemetry Service
링크 복사

The OpenStack Telemetry service provides usage metrics that can be leveraged for billing, charge-back, and show-back purposes. Such metrics data can also be used by third-party applications to plan for capacity on the cluster and can also be leveraged for auto-scaling virtual instances using OpenStack Heat. For more information, see Auto Scaling for Compute.

The combination of ceilometer and gnocchi can be used for monitoring and alarms. This is supported on small-size clusters and with known limitations. For real-time monitoring, Red Hat OpenStack Platform ships with agents that provide metrics data, and can be consumed by separate monitoring infrastructure and applications. For more information, see Monitoring Tools Configuration.

2.1. View Existing Alarms
링크 복사

To list the existing Telemetry alarms, use the aodh command. For example: 

# aodh alarm list
+--------------------------------------+--------------------------------------------+----------------------------+-------------------+----------+---------+
| alarm_id                             | type                                       | name                       | state             | severity | enabled |
+--------------------------------------+--------------------------------------------+----------------------------+-------------------+----------+---------+
| 922f899c-27c8-4c7d-a2cf-107be51ca90a | gnocchi_aggregation_by_resources_threshold | iops-monitor-read-requests | insufficient data | low      | True    |
+--------------------------------------+--------------------------------------------+----------------------------+-------------------+----------+---------+
Copy to Clipboard Toggle word wrap

To list the meters assigned to a resource, specify the UUID of the resource (an instance, image, or volume, among others). For example: 

# gnocchi resource show 5e3fcbe2-7aab-475d-b42c-a440aa42e5ad
Copy to Clipboard Toggle word wrap

2.2. Create an Alarm
링크 복사

You can use aodh to create an alarm that activates when a threshold value is reached. In this example, the alarm activates and adds a log entry when the average CPU utilization for an individual instance exceeds 80%. A query is used to isolate the specific instance’s id (94619081-abf5-4f1f-81c7-9cedaa872403) for monitoring purposes: 

# aodh alarm create --type gnocchi_aggregation_by_resources_threshold --name cpu_usage_high --metric cpu_util --threshold 80 --aggregation-method sum --resource-type instance --query '{"=": {"id": "94619081-abf5-4f1f-81c7-9cedaa872403"}}' --alarm-action 'log://'
+---------------------------+-------------------------------------------------------+
| Field                     | Value                                                 |
+---------------------------+-------------------------------------------------------+
| aggregation_method        | sum                                                   |
| alarm_actions             | [u'log://']                                           |
| alarm_id                  | b794adc7-ed4f-4edb-ace4-88cbe4674a94                  |
| comparison_operator       | eq                                                    |
| description               | gnocchi_aggregation_by_resources_threshold alarm rule |
| enabled                   | True                                                  |
| evaluation_periods        | 1                                                     |
| granularity               | 60                                                    |
| insufficient_data_actions | []                                                    |
| metric                    | cpu_util                                              |
| name                      | cpu_usage_high                                        |
| ok_actions                | []                                                    |
| project_id                | 13c52c41e0e543d9841a3e761f981c20                      |
| query                     | {"=": {"id": "94619081-abf5-4f1f-81c7-9cedaa872403"}} |
| repeat_actions            | False                                                 |
| resource_type             | instance                                              |
| severity                  | low                                                   |
| state                     | insufficient data                                     |
| state_timestamp           | 2016-12-09T05:18:53.326000                            |
| threshold                 | 80.0                                                  |
| time_constraints          | []                                                    |
| timestamp                 | 2016-12-09T05:18:53.326000                            |
| type                      | gnocchi_aggregation_by_resources_threshold            |
| user_id                   | 32d3f2c9a234423cb52fb69d3741dbbc                      |
+---------------------------+-------------------------------------------------------+
Copy to Clipboard Toggle word wrap

To edit an existing threshold alarm, use the aodh alarm update command. For example, to increase the alarm threshold to 75%: 

# aodh alarm update --name cpu_usage_high --threshold 75
Copy to Clipboard Toggle word wrap

2.3. Disable or Delete an Alarm
링크 복사

To disable an alarm: 

# aodh alarm update --name cpu_usage_high --enabled=false
Copy to Clipboard Toggle word wrap

To delete an alarm: 

# aodh alarm delete --name cpu_usage_high
Copy to Clipboard Toggle word wrap

2.4. View Measures
링크 복사

To list all the measures for a particular resource: 

# gnocchi measures show --resource-id UUID METER_NAME
Copy to Clipboard Toggle word wrap

To list only measures for a particular resource, within a range of timestamps: 

# gnocchi measures show --aggregation mean --start START_TIME --end STOP_TIME --resource-id UUID METER_NAME
Copy to Clipboard Toggle word wrap

Where START_TIME and END_TIME are in the form iso-dateThh:mm:ss.

2.5. Create New Measures
링크 복사

You can use measures to send data to the Telemetry service, and they do not need to correspond to a previously-defined meter. For example: 

# gnocchi measures add -m 2015-01-12T17:56:23@42 --resource-id UUID METER_NAME
Copy to Clipboard Toggle word wrap

2.6. View Cloud Usage Measures
링크 복사

This example shows the average memory usage of all instances for each project. 

gnocchi measures aggregation --resource-type instance --groupby project_id -m memory
Copy to Clipboard Toggle word wrap

2.7. View L3 Cache Usage
링크 복사

If your Intel hardware and libvirt version supports Cache Monitoring Technology (CMT), you can use the cpu_l3_cache meter to monitor the amount of L3 cache used by an instance.

2.8. Monitor the disk activity of instances
링크 복사

The following example demonstrates how to use an aodh alarm to monitor the cumulative disk activity for all the instances contained within a particular project.

1. Review the existing projects, and select the appropriate UUID of the project you need to monitor. This example uses the admin tenant: 

$ openstack project list
+----------------------------------+----------+
| ID                               | Name     |
+----------------------------------+----------+
| 745d33000ac74d30a77539f8920555e7 | admin    |
| 983739bb834a42ddb48124a38def8538 | services |
| be9e767afd4c4b7ead1417c6dfedde2b | demo     |
+----------------------------------+----------+
Copy to Clipboard Toggle word wrap

2. Use the project’s UUID to create an alarm that analyses the sum() of all read requests generated by the instances in the admin tenant (the query can be further restrained with the --query parameter). 

# aodh alarm create --type gnocchi_aggregation_by_resources_threshold --name iops-monitor-read-requests --metric disk.read.requests.rate --threshold 42000 --aggregation-method sum --resource-type instance --query '{"=": {"project_id": "745d33000ac74d30a77539f8920555e7"}}'
+---------------------------+-----------------------------------------------------------+
| Field                     | Value                                                     |
+---------------------------+-----------------------------------------------------------+
| aggregation_method        | sum                                                       |
| alarm_actions             | []                                                        |
| alarm_id                  | 192aba27-d823-4ede-a404-7f6b3cc12469                      |
| comparison_operator       | eq                                                        |
| description               | gnocchi_aggregation_by_resources_threshold alarm rule     |
| enabled                   | True                                                      |
| evaluation_periods        | 1                                                         |
| granularity               | 60                                                        |
| insufficient_data_actions | []                                                        |
| metric                    | disk.read.requests.rate                                   |
| name                      | iops-monitor-read-requests                                |
| ok_actions                | []                                                        |
| project_id                | 745d33000ac74d30a77539f8920555e7                          |
| query                     | {"=": {"project_id": "745d33000ac74d30a77539f8920555e7"}} |
| repeat_actions            | False                                                     |
| resource_type             | instance                                                  |
| severity                  | low                                                       |
| state                     | insufficient data                                         |
| state_timestamp           | 2016-11-08T23:41:22.919000                                |
| threshold                 | 42000.0                                                   |
| time_constraints          | []                                                        |
| timestamp                 | 2016-11-08T23:41:22.919000                                |
| type                      | gnocchi_aggregation_by_resources_threshold                |
| user_id                   | 8c4aea738d774967b4ef388eb41fef5e                          |
+---------------------------+-----------------------------------------------------------+
Copy to Clipboard Toggle word wrap

2.9. Manage Resource Types
링크 복사

Telemetry resource types that were previously hardcoded can now be managed by the gnocchi client. You can use the gnocchi client to create, view, and delete resource types, and you can use the gnocchi API to update or delete attributes.

1. Create a new resource-type: 

$ gnocchi resource-type create testResource01 -a bla:string:True:min_length=123
+----------------+------------------------------------------------------------+
| Field          | Value                                                      |
+----------------+------------------------------------------------------------+
| attributes/bla | max_length=255, min_length=123, required=True, type=string |
| name           | testResource01                                             |
| state          | active                                                     |
+----------------+------------------------------------------------------------+
Copy to Clipboard Toggle word wrap

2. Review the configuration of the resource-type: 

$ gnocchi resource-type show testResource01
+----------------+------------------------------------------------------------+
| Field          | Value                                                      |
+----------------+------------------------------------------------------------+
| attributes/bla | max_length=255, min_length=123, required=True, type=string |
| name           | testResource01                                             |
| state          | active                                                     |
+----------------+------------------------------------------------------------+
Copy to Clipboard Toggle word wrap

3. Delete the resource-type: 

$ gnocchi resource-type delete testResource01
Copy to Clipboard Toggle word wrap
Note

You cannot delete a resource type if a resource is using it.

2.10. Using the Time-Series-Database-as-a-Service
링크 복사

Time-Series-Database-as-a-Service (Gnocchi) is a multi-tenant, metrics, and resource database. It is designed to store metrics at a very large scale while providing access to metrics and resources information to operators and users.

Currently, the TSDaaS uses the Identity service for authentication, and Ceph object storage to store data.

TDSaaS provides the statsd deamon that is compatible with the statsd protocol and can listen to the metrics sent over the network, named gnocchi-statsd. To enable statsd support in TDSaaS, configure the [statsd] option in the configuration file. The resource ID parameter is the main generic resource where all the metrics are attached, a user and project ID that are associated with the resource and metrics, and an archive policy name that is used to create the metrics.

All the metrics will be created dynamically as the metrics are sent to gnocchi-statsd, and attached with the provided name to the resource ID you configured. For more information on installing and configuring TSDaaS, see the Install Time-Series-Database-as-a-Service chapter in the Manual Installation Procedures available at: https://access.redhat.com/documentation/en/red-hat-enterprise-linux-openstack-platform/

2.10.1. Running Time-Series-Database-as-a-Service
링크 복사

Run Time-Series-Database-as-a-Service (TSDaaS) by running the HTTP server and metric daemon: 

# gnocchi-api
# gnocchi-metricd
Copy to Clipboard Toggle word wrap

2.10.2. Running As A WSGI Application
링크 복사

You can run the TSDaaS through a WSGI service such as mod_wsgi or any other WSGI application. The file gnocchi/rest/app.wsgi provided with TSDaaS allows you to enable Gnocchi as a WSGI application.

The TSDaaS API tier runs using WSGI. This means it can be run using Apache httpd and mod_wsgi, or another HTTP daemon such as uwsgi. Configure the number of processes and threads according to the number of CPUs you have, which is usually around 1.5 × number of CPUs. If one server is not enough, you can spawn any number of new API servers to scale Gnocchi out, even on different machines.

2.10.3. metricd Workers
링크 복사

By default, the gnocchi-metricd daemon spans all of your CPU power to maximize CPU utilization when computing metric aggregation. Use the gnocchi status command to query the HTTP API and get the cluster status for metric processing. This command displays the number of metrics to process, known as the processing backlog for the gnocchi-metricd. As long as this backlog is not continuously increasing, that means that gnocchi-metricd is able to cope with the amount of metrics that are being sent. If the number of measures to process is continuously increasing, you might need to temporarily increase the number of gnocchi-metricd daemons. You can run any number of metricd daemons on any number of servers.

2.10.4. Monitoring the Time-Series-Database-as-a-Service
링크 복사

The /v1/status endpoint of the HTTP API returns information, such as the number of measures to process (measures backlog), which you can easily monitor. To verify good health of the overall system, ensure that the HTTP server and the gnocchi-metricd daemon are running and are not writing errors in their log files.

2.10.5. Backing up and Restoring Time-Series-Database-as-a-Service
링크 복사

To recover from an unfortunate event, you need to backup both the index and the storage. That means creating a database dump (PostgreSQL or MySQL) and doing snapshots or copies of your data storage (Ceph, Swift, or your file system). To restore Time-Series-Database-as-a-Service, complete the following tasks: . Restore your index and storage backups. . Reinstall TSDaaS if necessary. . Restart TSDaaS.

2.10.6. Batch deleting old resources from Gnocchi
링크 복사

To remove outdated measures, create the archive policy to suit your requirements. To batch delete resources, metrics and measures, use the CLI or REST API. For example, to delete resources and all their associated metrics that were terminated 30 days ago, run the following command: 

openstack metric resource batch delete "ended_at < '-30days'"
Copy to Clipboard Toggle word wrap

Chapter 3. Troubleshooting
링크 복사

This chapter contains logging and support information to assist with troubleshooting your Red Hat OpenStack Platform deployment.

3.1. Support
링크 복사

If client commands fail or you run into other issues, contact Red Hat Technical Support with a description of what happened, the full console output, all log files referenced in the console output, and an sosreport from the node that is (or might be) in trouble. For example, if you encounter a problem on the compute level, run sosreport on the Nova node, or if it is a networking issue, run the utility on the Neutron node. For general deployment issues, it is best to run sosreport on the cloud controller.

For information about the sosreport command (sos package), refer to What is a sosreport and how to create one in Red Hat Enterprise Linux 4.6 and later.

Check also the /var/log/messages file for any hints.

3.2. Troubleshoot Identity Client (keystone) Connectivity Problems
링크 복사

When the Identity client (keystone) is unable to contact the Identity service it returns an error: 

Unable to communicate with identity service: [Errno 113] No route to host. (HTTP 400)
Copy to Clipboard Toggle word wrap

To debug the issue check for these common causes:

Identity service is down

Identity Service now runs within httpd.service. On the system hosting the Identity service, check the service status: 

# systemctl status httpd.service
Copy to Clipboard Toggle word wrap

If the service is not active then log in as the root user and start it. 

# systemctl start httpd.service
Copy to Clipboard Toggle word wrap
Firewall is not configured properly
The firewall might not be configured to allow TCP traffic on ports 5000 and 35357. If so, see Configure the Firewall to Allow Identity Service Traffic in the Manual Installation Procedures for instructions on how to correct this.
Service Endpoints not defined correctly

On the system hosting the Identity service check that the endpoints are defined correctly.

  1. Obtain the administration token: 

    # grep admin_token /etc/keystone/keystone.conf
admin_token = 91f0866234a64fc299db8f26f8729488
    Copy to Clipboard Toggle word wrap

  2. Determine the correct administration endpoint for the Identity service: 

    http://IP:35357/VERSION
    Copy to Clipboard Toggle word wrap

    Replace IP with the IP address or host name of the system hosting the Identity service. Replace VERSION with the API version (v2.0, or v3) that is in use.

  3. Unset any pre-defined Identity service related environment variables: 

    # unset OS_USERNAME OS_TENANT_NAME OS_PASSWORD OS_AUTH_URL
    Copy to Clipboard Toggle word wrap

  4. Use the administration token and endpoint to authenticate with the Identity service. Confirm that the Identity service endpoint is correct. For example: 

    # openstack endpoint list --os-token=91f0556234a64fc299db8f26f8729488 --os-url=https://osp.lab.local:35357/v3/  --os-identity-api-version 3
    Copy to Clipboard Toggle word wrap

    Verify that the listed publicurl, internalurl, and adminurl for the Identity service are correct. In particular ensure that the IP addresses and port numbers listed within each endpoint are correct and reachable over the network.

    If these values are incorrect then see Create an Administrator Account and the Identity Service Endpoint in the Manual Installation Procedures for information on adding the correct endpoint. Once the correct endpoints have been added, remove any incorrect endpoints using the endpoint delete action of the openstack command. For example: 

    # openstack endpoint delete 2d32fa6feecc49aab5de538bdf7aa018  --os-token=91f0866234a64fc299db8f26f8729488 --os-url=https://osp.lab.local:35357/v3/ --os-identity-api-version 3
    Copy to Clipboard Toggle word wrap

    Replace TOKEN and ENDPOINT with the values identified previously. Replace ID with the identity of the endpoint to remove as listed by the endpoint-list action.

3.3. Troubleshoot OpenStack Networking Issues
링크 복사

This section discusses the different commands you can use and procedures you can follow to troubleshoot the OpenStack Networking service issues.

Debugging Networking Device
  • Use the ip a command to display all the physical and virtual devices.
  • Use the ovs-vsctl show command to display the interfaces and bridges in a virtual switch.
  • Use the ovs-dpctl show command to show datapaths on the switch.
Tracking Networking Packets

  • Use the tcpdump command to see where packets are not getting through. 

    # tcpdump -n -i INTERFACE -e -w FILENAME
    Copy to Clipboard Toggle word wrap

    Replace INTERFACE with the name of the network interface to see where the packets are not getting through. The interface name can be the name of the bridge or host Ethernet device.

    The -e flag ensures that the link-level header is dumped (in which the vlan tag will appear).

    The -w flag is optional. You can use it only if you want to write the output to a file. If not, the output is written to the standard output (stdout).

    For more information about tcpdump, refer to its manual page by running man tcpdump.

Debugging Network Namespaces
  • Use the ip netns list command to list all known network namespaces.

  • Use the ip netns exec command to show routing tables inside specific namespaces. 

    # ip netns exec NAMESPACE_ID bash
# route -n
    Copy to Clipboard Toggle word wrap

    Start the ip netns exec command in a bash shell so that subsequent commands can be invoked without the ip netns exec command.

3.4. Troubleshoot Networks and Routes Tab Display Issues in the Dashboard
링크 복사

The Networks and Routers tabs only appear in the dashboard when the environment is configured to use OpenStack Networking. In particular note that by default the PackStack utility currently deploys Nova Networking and as such in environments deployed in this manner the tab will not be visible.

If OpenStack Networking is deployed in the environment but the tabs still do not appear ensure that the service endpoints are defined correctly in the Identity service, that the firewall is allowing access to the endpoints, and that the services are running.

3.5. Troubleshoot Instance Launching Errors in the Dashboard
링크 복사

When using the dashboard to launch instances if the operation fails, a generic ERROR message is displayed. Determining the actual cause of the failure requires the use of the command line tools.

Use the nova list command to locate the unique identifier of the instance. Then use this identifier as an argument to the nova show command. One of the items returned will be the error condition. The most common value is NoValidHost.

This error indicates that no valid host was found with enough available resources to host the instance. To work around this issue, consider choosing a smaller instance size or increasing the overcommit allowances for your environment.

Note

To host a given instance, the compute node must have not only available CPU and RAM resources but also enough disk space for the ephemeral storage associated with the instance.

3.6. Troubleshoot Keystone v3 Dashboard Authentication
링크 복사

django_openstack_auth is a pluggable Django authentication back end, that works with Django’s contrib.auth framework, to authenticate a user against the OpenStack Identity service API. Django_openstack_auth uses the token object to encapsulate user and Keystone related information. The dashboard uses the token object to rebuild the Django user object.

The token object currently stores:

  • Keystone token
  • User information
  • Scope
  • Roles
  • Service catalog

The dashboard uses Django’s sessions framework for handling user session data. The following is a list of numerous session back ends available, which are controlled through the SESSION_ENGINE setting in your local_settings.py file:

  • Local Memory Cache
  • Memcached
  • Database
  • Cached Database
  • Cookies

In some cases, particularly when a signed cookie session back end is used and, when having many or all services enabled all at once, the size of cookies can reach its limit and the dashboard can fail to log in. One of the reasons for the growth of cookie size is the service catalog. As more services are registered, the bigger the size of the service catalog would be.

In such scenarios, to improve the session token management, include the following configuration settings for logging in to the dashboard, especially when using Keystone v3 authentication.

  1. In /usr/share/openstack-dashboard/openstack_dashboard/settings.py add the following configuration: 

    DATABASES =
{
  'default':
  {
    'ENGINE': 'django.db.backends.mysql',
    'NAME': 'horizondb',
    'USER': 'User Name',
    'PASSWORD': 'Password',
    'HOST': 'localhost',
   }
}
    Copy to Clipboard Toggle word wrap

  2. In the same file, change SESSION_ENGINE to: 

    SESSION_ENGINE = 'django.contrib.sessions.backends.cached_db'
    Copy to Clipboard Toggle word wrap

  3. Connect to the database service using the mysql command, replacing USER with the user name by which to connect. The USER must be a root user (or at least as a user with the correct permission: create db). 

    # mysql -u USER -p
    Copy to Clipboard Toggle word wrap

  4. Create the Horizon database. 

    mysql > create database horizondb;
    Copy to Clipboard Toggle word wrap

  5. Exit the mysql client. 

    mysql > exit
    Copy to Clipboard Toggle word wrap

  6. Change to the openstack_dashboard directory and sync the database using: 

    # cd /usr/share/openstack-dashboard/openstack_dashboard
$ ./manage.py syncdb
    Copy to Clipboard Toggle word wrap

    You do not need to create a superuser, so answer 'n' to the question.

  7. Restart Apache http server. For Red Hat Enterprise Linux: 

    #service httpd restart
    Copy to Clipboard Toggle word wrap

3.7. OpenStack Dashboard - Red Hat Access Tab
링크 복사

The Red Hat Access tab, which is part of the OpenStack dashboard, allows you to search for and read articles or solutions from the Red Hat Customer Portal, view logs from your instances and diagnose them, and work with your customer support cases.

Figure 3.1. Red Hat Access Tab.

Red Hat Access Tab - begin searching
View larger image
Red Hat Access Tab - begin searching
Important

You must be logged in to the Red Hat Customer Portal in the browser in order to be able to use the functions provided by the Red Hat Access tab.

If you are not logged in, you can do so now:

  1. Click Log In.
  2. Enter your Red Hat login.
  3. Enter your Red Hat password.
  4. Click Sign in.

This is how the form looks:

Figure 3.2. Logging in to the Red Hat Customer Portal.

Red Hat Access Tab - log in
View larger image
Red Hat Access Tab - log in

If you do not log in now, you will be prompted for your Red Hat login and password when you use one of the functions that require authentication.

3.7.2. Logs
링크 복사

Here you can read logs from your OpenStack instances:

Figure 3.4. Instance Logs on the Red Hat Access Tab.

Red Hat Access Tab - instance logs
View larger image
Red Hat Access Tab - instance logs

Find the instance of your choice in the table. If you have many instances, you can filter them by name, status, image ID, or flavor ID. Click View Log in the Actions column for the instance to check.

When an instance log is displayed, you can click Red Hat Diagnose to get recommendations regarding its contents:

Figure 3.5. Instance Logs on the Red Hat Access Tab.

Red Hat Access Tab - instance log details
View larger image
Red Hat Access Tab - instance log details

If none of the recommendations are useful or a genuine problem has been logged, click Open a New Support Case to report the problem to Red Hat Support.

3.7.3. Support
링크 복사

The last option in the Red Hat Access Tab allows you to search for your support cases at the Red Hat Customer Portal:

Figure 3.6. Search for Support Cases.

Red Hat Access Tab - support cases
View larger image
Red Hat Access Tab - support cases

You can also open a new support case by clicking the appropriate button and filling out the form on the following page:

Figure 3.7. Open a New Support Case.

Red Hat Access Tab - new support case
View larger image
Red Hat Access Tab - new support case

Legal Notice
링크 복사

Copyright © 2020 Red Hat, Inc.
The text of and illustrations in this document are licensed by Red Hat under a Creative Commons Attribution–Share Alike 3.0 Unported license ("CC-BY-SA"). An explanation of CC-BY-SA is available at http://creativecommons.org/licenses/by-sa/3.0/. In accordance with CC-BY-SA, if you distribute this document or an adaptation of it, you must provide the URL for the original version.
Red Hat, as the licensor of this document, waives the right to enforce, and agrees not to assert, Section 4d of CC-BY-SA to the fullest extent permitted by applicable law.
Red Hat, Red Hat Enterprise Linux, the Shadowman logo, the Red Hat logo, JBoss, OpenShift, Fedora, the Infinity logo, and RHCE are trademarks of Red Hat, Inc., registered in the United States and other countries.
Linux® is the registered trademark of Linus Torvalds in the United States and other countries.
Java® is a registered trademark of Oracle and/or its affiliates.
XFS® is a trademark of Silicon Graphics International Corp. or its subsidiaries in the United States and/or other countries.
MySQL® is a registered trademark of MySQL AB in the United States, the European Union and other countries.
Node.js® is an official trademark of Joyent. Red Hat is not formally related to or endorsed by the official Joyent Node.js open source or commercial project.
The OpenStack® Word Mark and OpenStack logo are either registered trademarks/service marks or trademarks/service marks of the OpenStack Foundation, in the United States and other countries and are used with the OpenStack Foundation's permission. We are not affiliated with, endorsed or sponsored by the OpenStack Foundation, or the OpenStack community.
All other trademarks are the property of their respective owners.
맨 위로 이동
Red Hat logoGithubredditYoutubeTwitter

자세한 정보

평가판, 구매 및 판매

커뮤니티

Red Hat 문서 정보

Red Hat을 사용하는 고객은 신뢰할 수 있는 콘텐츠가 포함된 제품과 서비스를 통해 혁신하고 목표를 달성할 수 있습니다. 최신 업데이트를 확인하세요.

보다 포괄적 수용을 위한 오픈 소스 용어 교체

Red Hat은 코드, 문서, 웹 속성에서 문제가 있는 언어를 교체하기 위해 최선을 다하고 있습니다. 자세한 내용은 다음을 참조하세요.Red Hat 블로그.

Red Hat 소개

Red Hat은 기업이 핵심 데이터 센터에서 네트워크 에지에 이르기까지 플랫폼과 환경 전반에서 더 쉽게 작업할 수 있도록 강화된 솔루션을 제공합니다.

Theme

© 2025 Red Hat