This begins building documentation for the LMA services included in openstack-helm-infra. This includes documentation for: kibana, elasticsearch, fluent-logging, grafana, prometheus, and nagios Change-Id: Iaa24be04748e76fabca998972398802e7e921ef1 Signed-off-by: Steve Wilkerson <wilkers.steve@gmail.com>
7.1 KiB
Elasticsearch
The Elasticsearch chart in openstack-helm-infra provides a distributed data store to index and analyze logs generated from the OpenStack-Helm services. The chart contains templates for:
- Elasticsearch client nodes
- Elasticsearch data nodes
- Elasticsearch master nodes
- An Elasticsearch exporter for providing cluster metrics to Prometheus
- A cronjob for Elastic Curator to manage data indices
Authentication
The Elasticsearch deployment includes a sidecar container that runs an Apache reverse proxy to add authentication capabilities for Elasticsearch. The username and password are configured under the Elasticsearch entry in the endpoints section of the chart's values.yaml.
The configuration for Apache can be found under the conf.httpd key, and uses a helm-toolkit function that allows for including gotpl entries in the template directly. This allows the use of other templates, like the endpoint lookup function templates, directly in the configuration for Apache.
Elasticsearch Service Configuration
The Elasticsearch service configuration file can be modified with a combination of pod environment variables and entries in the values.yaml file. Elasticsearch does not require much configuration out of the box, and the default values for these configuration settings are meant to provide a highly available cluster by default.
The vital entries in this configuration file are:
- path.data: The path at which to store the indexed data
- path.repo: The location of any snapshot repositories to backup indexes
- bootstrap.memory_lock: Ensures none of the JVM is swapped to disk
- discovery.zen.minimum_master_nodes: Minimum required masters for the cluster
The bootstrap.memory_lock entry ensures none of the JVM will be swapped to disk during execution, and setting this value to false will negatively affect the health of your Elasticsearch nodes. The discovery.zen.minimum_master_nodes flag registers the minimum number of masters required for your Elasticsearch cluster to register as healthy and functional.
To read more about Elasticsearch's configuration file, please see the official documentation.
Elastic Curator
The Elasticsearch chart contains a cronjob to run Elastic Curator at specified intervals to manage the lifecycle of your indices. Curator can perform:
- Take and send a snapshot of your indexes to a specified snapshot repository
- Delete indexes older than a specified length of time
- Restore indexes with previous index snapshots
- Reindex an index into a new or preexisting index
The full list of supported Curator actions can be found in the actions section of the official Curator documentation. The list of options available for those actions can be found in the options section of the Curator documentation.
Curator's configuration is handled via entries in Elasticsearch's values.yaml file and must be overridden to achieve your index lifecycle management needs. Please note that any unused field should be left blank, as an entry of "None" will result in an exception, as Curator will read it as a Python NoneType insead of a value of None.
The section for Curator's service configuration can be found at:
conf:
curator:
config:
client:
hosts:
- elasticsearch-logging
port: 9200
url_prefix:
use_ssl: False
certificate:
client_cert:
client_key:
ssl_no_validate: False
http_auth:
timeout: 30
master_only: False
logging:
loglevel: INFO
logfile:
logformat: default
blacklist: ['elasticsearch', 'urllib3']
Curator's actions are configured in the following section:
conf:
curator:
action_file:
actions:
1:
action: delete_indices
description: "Clean up ES by deleting old indices"
options:
timeout_override:
continue_if_exception: False
ignore_empty_list: True
disable_action: True
filters:
- filtertype: age
source: name
direction: older
timestring: '%Y.%m.%d'
unit: days
unit_count: 30
field:
stats_result:
epoch:
exclude: False
The Elasticsearch chart contains commented example actions for deleting and snapshotting indexes older 30 days. Please note these actions are provided as a reference and are disabled by default to avoid any unexpected behavior against your indexes.
Elasticsearch Exporter
The Elasticsearch chart contains templates for an exporter to provide metrics for Prometheus. These metrics provide insight into the performance and overall health of your Elasticsearch cluster. Please note monitoring for Elasticsearch is disabled by default, and must be enabled with the following override:
monitoring:
prometheus:
enabled: true
The Elasticsearch exporter uses the same service annotations as the other exporters, and no additional configuration is required for Prometheus to target the Elasticsearch exporter for scraping. The Elasticsearch exporter is configured with command line flags, and the flags' default values can be found under the following key in the values.yaml file:
conf:
prometheus_elasticsearch_exporter:
es:
all: true
timeout: 20s
The configuration keys configure the following behaviors:
- es.all: Gather information from all nodes, not just the connecting node
- es.timeout: Timeout for metrics queries
More information about the Elasticsearch exporter can be found on the exporter's GitHub page.
Snapshot Repositories
Before Curator can store snapshots in a specified repository, Elasticsearch must register the configured repository. To achieve this, the Elasticsearch chart contains a job for registering an s3 snapshot repository backed by radosgateway. This job is disabled by default as the curator actions for snapshots are disabled by default. To enable the snapshot job, the conf.elasticsearch.snapshots.enabled flag must be set to true. The following configuration keys are relevant:
- conf.elasticsearch.snapshots.enabled: Enable snapshot repositories
- conf.elasticsearch.snapshots.bucket: Name of the RGW s3 bucket to use
- conf.elasticsearch.snapshots.repositories: Name of repositories to create
More information about Elasticsearch repositories can be found in the official Elasticsearch snapshot documentation: