- Fleet and Elastic Agent Guide: other versions:
- Fleet and Elastic Agent overview
- Beats and Elastic Agent capabilities
- Quick starts
- Migrate from Beats to Elastic Agent
- Deployment models
- Install Elastic Agents
- Install Fleet-managed Elastic Agents
- Install standalone Elastic Agents
- Install Elastic Agents in a containerized environment
- Run Elastic Agent in a container
- Run Elastic Agent on Kubernetes managed by Fleet
- Install Elastic Agent on Kubernetes using Helm
- Example: Install standalone Elastic Agent on Kubernetes using Helm
- Example: Install Fleet-managed Elastic Agent on Kubernetes using Helm
- Advanced Elastic Agent configuration managed by Fleet
- Configuring Kubernetes metadata enrichment on Elastic Agent
- Run Elastic Agent on GKE managed by Fleet
- Run Elastic Agent on Amazon EKS managed by Fleet
- Run Elastic Agent on Azure AKS managed by Fleet
- Run Elastic Agent Standalone on Kubernetes
- Scaling Elastic Agent on Kubernetes
- Using a custom ingest pipeline with the Kubernetes Integration
- Environment variables
- Run Elastic Agent as an OTel Collector
- Run Elastic Agent without administrative privileges
- Install Elastic Agent from an MSI package
- Installation layout
- Air-gapped environments
- Using a proxy server with Elastic Agent and Fleet
- Uninstall Elastic Agents from edge hosts
- Start and stop Elastic Agents on edge hosts
- Elastic Agent configuration encryption
- Secure connections
- Manage Elastic Agents in Fleet
- Configure standalone Elastic Agents
- Create a standalone Elastic Agent policy
- Structure of a config file
- Inputs
- Providers
- Outputs
- SSL/TLS
- Logging
- Feature flags
- Agent download
- Config file examples
- Grant standalone Elastic Agents access to Elasticsearch
- Example: Use standalone Elastic Agent with Elastic Cloud Serverless to monitor nginx
- Example: Use standalone Elastic Agent with Elasticsearch Service to monitor nginx
- Debug standalone Elastic Agents
- Kubernetes autodiscovery with Elastic Agent
- Monitoring
- Reference YAML
- Manage integrations
- Package signatures
- Add an integration to an Elastic Agent policy
- View integration policies
- Edit or delete an integration policy
- Install and uninstall integration assets
- View integration assets
- Set integration-level outputs
- Upgrade an integration
- Managed integrations content
- Best practices for integration assets
- Data streams
- Define processors
- Processor syntax
- add_cloud_metadata
- add_cloudfoundry_metadata
- add_docker_metadata
- add_fields
- add_host_metadata
- add_id
- add_kubernetes_metadata
- add_labels
- add_locale
- add_network_direction
- add_nomad_metadata
- add_observer_metadata
- add_process_metadata
- add_tags
- community_id
- convert
- copy_fields
- decode_base64_field
- decode_cef
- decode_csv_fields
- decode_duration
- decode_json_fields
- decode_xml
- decode_xml_wineventlog
- decompress_gzip_field
- detect_mime_type
- dissect
- dns
- drop_event
- drop_fields
- extract_array
- fingerprint
- include_fields
- move_fields
- parse_aws_vpc_flow_log
- rate_limit
- registered_domain
- rename
- replace
- script
- syslog
- timestamp
- translate_sid
- truncate_fields
- urldecode
- Command reference
- Troubleshoot
- Release notes
This documentation contains work-in-progress information for future Elastic Stack and Cloud releases. Use the version selector to view supported release docs. It also contains some Elastic Cloud serverless information. Check out our serverless docs for more details.
Tutorials: Customize data retention policies
editTutorials: Customize data retention policies
editThese tutorials explain how to apply a custom ILM policy to an integration’s data stream.
Before you begin
editFor certain features you’ll need to use a slightly different procedure to manage the index lifecycle:
- APM: For verions 8.15 and later, refer to Index lifecycle management.
- Synthetic monitoring: Refer to Manage data retention.
- Universal Profiling: Refer to Universal Profiling index life cycle management.
Identify your scenario
editHow you apply an ILM policy depends on your use case. Choose a scenario for the detailed steps.
- Scenario 1: You want to apply an ILM policy to all logs or metrics data streams across all namespaces.
- Scenario 2: You want to apply an ILM policy to selected data streams in an integration.
- Scenario 3: You want apply an ILM policy for data streams in a selected namespace in an integration.
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