- Elasticsearch Guide: other versions:
- Elasticsearch introduction
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Setting JVM options
- Secure settings
- Logging configuration
- Auditing settings
- Cross-cluster replication settings
- Transforms settings
- Index lifecycle management settings
- License settings
- Machine learning settings
- Monitoring settings
- Security settings
- Snapshot lifecycle management settings
- SQL access settings
- Watcher settings
- Important Elasticsearch configuration
- Important System Configuration
- Bootstrap Checks
- Heap size check
- File descriptor check
- Memory lock check
- Maximum number of threads check
- Max file size check
- Maximum size virtual memory check
- Maximum map count check
- Client JVM check
- Use serial collector check
- System call filter check
- OnError and OnOutOfMemoryError checks
- Early-access check
- G1GC check
- All permission check
- Discovery configuration check
- Starting Elasticsearch
- Stopping Elasticsearch
- Adding nodes to your cluster
- Full-cluster restart and rolling restart
- Set up X-Pack
- Configuring X-Pack Java Clients
- Bootstrap Checks for X-Pack
- Upgrade Elasticsearch
- Aggregations
- Metrics Aggregations
- Avg Aggregation
- Weighted Avg Aggregation
- Cardinality Aggregation
- Extended Stats Aggregation
- Geo Bounds Aggregation
- Geo Centroid Aggregation
- Max Aggregation
- Min Aggregation
- Percentiles Aggregation
- Percentile Ranks Aggregation
- Scripted Metric Aggregation
- Stats Aggregation
- String Stats Aggregation
- Sum Aggregation
- Top Hits Aggregation
- Value Count Aggregation
- Median Absolute Deviation Aggregation
- Bucket Aggregations
- Adjacency Matrix Aggregation
- Auto-interval Date Histogram Aggregation
- Children Aggregation
- Composite aggregation
- Date histogram aggregation
- Date Range Aggregation
- Diversified Sampler Aggregation
- Filter Aggregation
- Filters Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
- GeoTile Grid Aggregation
- Global Aggregation
- Histogram Aggregation
- IP Range Aggregation
- Missing Aggregation
- Nested Aggregation
- Parent Aggregation
- Range Aggregation
- Rare Terms Aggregation
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Significant Text Aggregation
- Terms Aggregation
- Subtleties of bucketing range fields
- Pipeline Aggregations
- Avg Bucket Aggregation
- Derivative Aggregation
- Max Bucket Aggregation
- Min Bucket Aggregation
- Sum Bucket Aggregation
- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation
- Percentiles Bucket Aggregation
- Moving Average Aggregation
- Moving Function Aggregation
- Cumulative Sum Aggregation
- Cumulative Cardinality Aggregation
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Bucket Sort Aggregation
- Serial Differencing Aggregation
- Matrix Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Returning the type of the aggregation
- Indexing aggregation results with transforms
- Metrics Aggregations
- Query DSL
- Search across clusters
- Scripting
- Mapping
- Text analysis
- Overview
- Concepts
- Configure text analysis
- Built-in analyzer reference
- Tokenizer reference
- Char Group Tokenizer
- Classic Tokenizer
- Edge n-gram tokenizer
- Keyword Tokenizer
- Letter Tokenizer
- Lowercase Tokenizer
- N-gram tokenizer
- Path Hierarchy Tokenizer
- Path Hierarchy Tokenizer Examples
- Pattern Tokenizer
- Simple Pattern Tokenizer
- Simple Pattern Split Tokenizer
- Standard Tokenizer
- Thai Tokenizer
- UAX URL Email Tokenizer
- Whitespace Tokenizer
- Token filter reference
- Apostrophe
- ASCII folding
- CJK bigram
- CJK width
- Classic
- Common grams
- Conditional
- Decimal digit
- Delimited payload
- Dictionary decompounder
- Edge n-gram
- Elision
- Fingerprint
- Flatten graph
- Hunspell
- Hyphenation decompounder
- Keep types
- Keep words
- Keyword marker
- Keyword repeat
- KStem
- Length
- Limit token count
- Lowercase
- MinHash
- Multiplexer
- N-gram
- Normalization
- Pattern capture
- Pattern replace
- Phonetic
- Porter stem
- Predicate script
- Remove duplicates
- Reverse
- Shingle
- Snowball
- Stemmer
- Stemmer override
- Stop
- Synonym
- Synonym graph
- Trim
- Truncate
- Unique
- Uppercase
- Word delimiter
- Word delimiter graph
- Character filters reference
- Normalizers
- Modules
- Index modules
- Ingest node
- Pipeline Definition
- Accessing Data in Pipelines
- Conditional Execution in Pipelines
- Handling Failures in Pipelines
- Enrich your data
- Processors
- Append Processor
- Bytes Processor
- Circle Processor
- Convert Processor
- CSV Processor
- Date Processor
- Date Index Name Processor
- Dissect Processor
- Dot Expander Processor
- Drop Processor
- Enrich Processor
- Fail Processor
- Foreach Processor
- GeoIP Processor
- Grok Processor
- Gsub Processor
- HTML Strip Processor
- Inference Processor
- Join Processor
- JSON Processor
- KV Processor
- Lowercase Processor
- Pipeline Processor
- Remove Processor
- Rename Processor
- Script Processor
- Set Processor
- Set Security User Processor
- Split Processor
- Sort Processor
- Trim Processor
- Uppercase Processor
- URL Decode Processor
- User Agent processor
- ILM: Manage the index lifecycle
- SQL access
- Overview
- Getting Started with SQL
- Conventions and Terminology
- Security
- SQL REST API
- SQL Translate API
- SQL CLI
- SQL JDBC
- SQL ODBC
- SQL Client Applications
- SQL Language
- Functions and Operators
- Comparison Operators
- Logical Operators
- Math Operators
- Cast Operators
- LIKE and RLIKE Operators
- Aggregate Functions
- Grouping Functions
- Date/Time and Interval Functions and Operators
- Full-Text Search Functions
- Mathematical Functions
- String Functions
- Type Conversion Functions
- Geo Functions
- Conditional Functions And Expressions
- System Functions
- Reserved keywords
- SQL Limitations
- Monitor a cluster
- Frozen indices
- Roll up or transform your data
- Set up a cluster for high availability
- Snapshot and restore
- Secure a cluster
- Overview
- Configuring security
- User authentication
- Built-in users
- Internal users
- Token-based authentication services
- Realms
- Realm chains
- Active Directory user authentication
- File-based user authentication
- LDAP user authentication
- Native user authentication
- OpenID Connect authentication
- PKI user authentication
- SAML authentication
- Kerberos authentication
- Integrating with other authentication systems
- Enabling anonymous access
- Controlling the user cache
- Configuring SAML single-sign-on on the Elastic Stack
- Configuring single sign-on to the Elastic Stack using OpenID Connect
- User authorization
- Built-in roles
- Defining roles
- Security privileges
- Document level security
- Field level security
- Granting privileges for indices and aliases
- Mapping users and groups to roles
- Setting up field and document level security
- Submitting requests on behalf of other users
- Configuring authorization delegation
- Customizing roles and authorization
- Enabling audit logging
- Encrypting communications
- Restricting connections with IP filtering
- Cross cluster search, clients, and integrations
- Tutorial: Getting started with security
- Tutorial: Encrypting communications
- Troubleshooting
- Some settings are not returned via the nodes settings API
- Authorization exceptions
- Users command fails due to extra arguments
- Users are frequently locked out of Active Directory
- Certificate verification fails for curl on Mac
- SSLHandshakeException causes connections to fail
- Common SSL/TLS exceptions
- Common Kerberos exceptions
- Common SAML issues
- Internal Server Error in Kibana
- Setup-passwords command fails due to connection failure
- Failures due to relocation of the configuration files
- Limitations
- Alerting on cluster and index events
- Command line tools
- How To
- Glossary of terms
- REST APIs
- API conventions
- cat APIs
- Cluster APIs
- Cross-cluster replication APIs
- Document APIs
- Enrich APIs
- Explore API
- Index APIs
- Add index alias
- Analyze
- Clear cache
- Clone index
- Close index
- Create index
- Delete index
- Delete index alias
- Delete index template
- Flush
- Force merge
- Freeze index
- Get field mapping
- Get index
- Get index alias
- Get index settings
- Get index template
- Get mapping
- Index alias exists
- Index exists
- Index recovery
- Index segments
- Index shard stores
- Index stats
- Index template exists
- Open index
- Put index template
- Put mapping
- Refresh
- Rollover index
- Shrink index
- Split index
- Synced flush
- Type exists
- Unfreeze index
- Update index alias
- Update index settings
- Index lifecycle management API
- Ingest APIs
- Info API
- Licensing APIs
- Machine learning anomaly detection APIs
- Add events to calendar
- Add jobs to calendar
- Close jobs
- Create jobs
- Create calendar
- Create datafeeds
- Create filter
- Delete calendar
- Delete datafeeds
- Delete events from calendar
- Delete filter
- Delete forecast
- Delete jobs
- Delete jobs from calendar
- Delete model snapshots
- Delete expired data
- Find file structure
- Flush jobs
- Forecast jobs
- Get buckets
- Get calendars
- Get categories
- Get datafeeds
- Get datafeed statistics
- Get influencers
- Get jobs
- Get job statistics
- Get machine learning info
- Get model snapshots
- Get overall buckets
- Get scheduled events
- Get filters
- Get records
- Open jobs
- Post data to jobs
- Preview datafeeds
- Revert model snapshots
- Set upgrade mode
- Start datafeeds
- Stop datafeeds
- Update datafeeds
- Update filter
- Update jobs
- Update model snapshots
- Machine learning data frame analytics APIs
- Create data frame analytics jobs
- Create inference trained model
- Delete data frame analytics jobs
- Delete inference trained model
- Evaluate data frame analytics
- Explain data frame analytics API
- Get data frame analytics jobs
- Get data frame analytics jobs stats
- Get inference trained model
- Get inference trained model stats
- Start data frame analytics jobs
- Stop data frame analytics jobs
- Migration APIs
- Reload search analyzers
- Rollup APIs
- Search APIs
- Security APIs
- Authenticate
- Change passwords
- Clear cache
- Clear roles cache
- Create API keys
- Create or update application privileges
- Create or update role mappings
- Create or update roles
- Create or update users
- Delegate PKI authentication
- Delete application privileges
- Delete role mappings
- Delete roles
- Delete users
- Disable users
- Enable users
- Get API key information
- Get application privileges
- Get builtin privileges
- Get role mappings
- Get roles
- Get token
- Get users
- Has privileges
- Invalidate API key
- Invalidate token
- OpenID Connect Prepare Authentication API
- OpenID Connect authenticate API
- OpenID Connect logout API
- SAML prepare authentication API
- SAML authenticate API
- SAML logout API
- SAML invalidate API
- SSL certificate
- Snapshot and restore APIs
- Snapshot lifecycle management API
- Transform APIs
- Usage API
- Watcher APIs
- Definitions
- Release highlights
- Breaking changes
- Release notes
- Elasticsearch version 7.6.2
- Elasticsearch version 7.6.1
- Elasticsearch version 7.6.0
- Elasticsearch version 7.5.2
- Elasticsearch version 7.5.1
- Elasticsearch version 7.5.0
- Elasticsearch version 7.4.2
- Elasticsearch version 7.4.1
- Elasticsearch version 7.4.0
- Elasticsearch version 7.3.2
- Elasticsearch version 7.3.1
- Elasticsearch version 7.3.0
- Elasticsearch version 7.2.1
- Elasticsearch version 7.2.0
- Elasticsearch version 7.1.1
- Elasticsearch version 7.1.0
- Elasticsearch version 7.0.0
- Elasticsearch version 7.0.0-rc2
- Elasticsearch version 7.0.0-rc1
- Elasticsearch version 7.0.0-beta1
- Elasticsearch version 7.0.0-alpha2
- Elasticsearch version 7.0.0-alpha1
Collecting monitoring data
editCollecting monitoring data
editMetricbeat is the recommended method for collecting and shipping monitoring data to a monitoring cluster.
If you have previously configured internal collection, you should migrate to using Metricbeat collection. Use either Metricbeat collection or internal collection; do not use both.
Learn more about Collecting monitoring data with Metricbeat.
If you enable the Elastic monitoring features in your cluster, you can optionally collect metrics about Elasticsearch. By default, monitoring is enabled but data collection is disabled.
This method involves sending the metrics to the monitoring cluster by using exporters. For the recommended method, see Collecting monitoring data with Metricbeat.
Advanced monitoring settings enable you to control how frequently data is collected, configure timeouts, and set the retention period for locally-stored monitoring indices. You can also adjust how monitoring data is displayed.
To learn about monitoring in general, see Monitor a cluster.
-
Configure your cluster to collect monitoring data:
-
Verify that the
xpack.monitoring.enabled
setting istrue
, which is its default value, on each node in the cluster. For more information, see Monitoring settings. -
Verify that the
xpack.monitoring.elasticsearch.collection.enabled
setting istrue
, which is its default value, on each node in the cluster.You can specify this setting in either the
elasticsearch.yml
on each node or across the cluster as a dynamic cluster setting. If Elasticsearch security features are enabled, you must havemonitor
cluster privileges to view the cluster settings andmanage
cluster privileges to change them.For more information, see Monitoring settings and Cluster update settings.
-
Set the
xpack.monitoring.collection.enabled
setting totrue
on each node in the cluster. By default, it is is disabled (false
).You can specify this setting in either the
elasticsearch.yml
on each node or across the cluster as a dynamic cluster setting. If Elasticsearch security features are enabled, you must havemonitor
cluster privileges to view the cluster settings andmanage
cluster privileges to change them.For example, use the following APIs to review and change this setting:
GET _cluster/settings PUT _cluster/settings { "persistent": { "xpack.monitoring.collection.enabled": true } }
Alternatively, you can enable this setting in Kibana. In the side navigation, click Monitoring. If data collection is disabled, you are prompted to turn it on.
For more information, see Monitoring settings and Cluster update settings.
-
Optional: Specify which indices you want to monitor.
By default, the monitoring agent collects data from all Elasticsearch indices. To collect data from particular indices, configure the
xpack.monitoring.collection.indices
setting. You can specify multiple indices as a comma-separated list or use an index pattern to match multiple indices. For example:xpack.monitoring.collection.indices: logstash-*, index1, test2
You can prepend
-
to explicitly exclude index names or patterns. For example, to include all indices that start withtest
excepttest3
, you could specifytest*,-test3
. To include system indices such as .security and .kibana, add.*
to the list of included names. For example.*,test*,-test3
-
Optional: Specify how often to collect monitoring data. The default value for
the
xpack.monitoring.collection.interval
setting 10 seconds. See Monitoring settings.
-
Verify that the
-
Identify where to store monitoring data.
By default, the data is stored on the same cluster by using a
local
exporter. Alternatively, you can use anhttp
exporter to send data to a separate monitoring cluster.The Elasticsearch monitoring features use ingest pipelines, therefore the cluster that stores the monitoring data must have at least one ingest node.
For more information about typical monitoring architectures, see How it works.
-
If you choose to use an
http
exporter:-
On the cluster that you want to monitor (often called the production cluster), configure each node to send metrics to your monitoring cluster. Configure an HTTP exporter in the
xpack.monitoring.exporters
settings in theelasticsearch.yml
file. For example:xpack.monitoring.exporters: id1: type: http host: ["http://es-mon-1:9200", "http://es-mon2:9200"]
-
If the Elastic security features are enabled on the monitoring cluster, you must provide appropriate credentials when data is shipped to the monitoring cluster:
-
Create a user on the monitoring cluster that has the
remote_monitoring_agent
built-in role. Alternatively, use theremote_monitoring_user
built-in user. -
Add the user ID and password settings to the HTTP exporter settings in the
elasticsearch.yml
file on each node.For example:
xpack.monitoring.exporters: id1: type: http host: ["http://es-mon-1:9200", "http://es-mon2:9200"] auth.username: remote_monitoring_user auth.password: YOUR_PASSWORD
-
Create a user on the monitoring cluster that has the
-
If you configured the monitoring cluster to use encrypted communications, you must use the HTTPS protocol in the
host
setting. You must also specify the trusted CA certificates that will be used to verify the identity of the nodes in the monitoring cluster.-
To add a CA certificate to an Elasticsearch node’s trusted certificates, you can specify the location of the PEM encoded certificate with the
certificate_authorities
setting. For example:xpack.monitoring.exporters: id1: type: http host: ["https://es-mon1:9200", "https://es-mon2:9200"] auth: username: remote_monitoring_user password: YOUR_PASSWORD ssl: certificate_authorities: [ "/path/to/ca.crt" ]
-
Alternatively, you can configure trusted certificates using a truststore (a Java Keystore file that contains the certificates). For example:
xpack.monitoring.exporters: id1: type: http host: ["https://es-mon1:9200", "https://es-mon2:9200"] auth: username: remote_monitoring_user password: YOUR_PASSWORD ssl: truststore.path: /path/to/file truststore.password: password
-
-
- Configure your cluster to route monitoring data from sources such as Kibana, Beats, and Logstash to the monitoring cluster. For information about configuring each product to collect and send monitoring data, see Monitor a cluster.
-
If you updated settings in the
elasticsearch.yml
files on your production cluster, restart Elasticsearch. See Stopping Elasticsearch and Starting Elasticsearch.You may want to temporarily disable shard allocation before you restart your nodes to avoid unnecessary shard reallocation during the install process.
- Optional: Configure the indices that store the monitoring data.
- View the monitoring data in Kibana.