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Log monitoringedit

Logs are an important tool for ensuring the performance and reliability of your applications and infrastructure. They provide important information for debugging, analyzing performance, and managing compliance.

On this page, you’ll find resources for sending log data to Elasticsearch, configuring your logs, and analyzing your logs.

Get started with logsedit

For a high-level overview on ingesting, viewing, and analyzing logs with Elastic, refer to Get started with logs and metrics.

To get started ingesting, parsing, and filtering your own data, refer to these pages:

  • Stream any log file: send log files from your system to Elasticsearch using a standalone Elastic Agent and configure the Elastic Agent and your data streams using the elastic-agent.yml file.
  • Parse and organize logs: break your log messages into meaningful fields that you can use to filter and analyze your data.
  • Filter and aggregate logs: find specific information in your log data to gain insight and monitor your systems.

The following sections provide resources to important concepts or advanced use cases for working with your logs.

Send log data to Elasticsearchedit

You can send log data to Elasticsearch in different ways depending on your needs:

  • Elastic Agent: a single agent for logs, metrics, security data, and threat prevention. It can be deployed either standalone or managed by Fleet:

    • Standalone: Manually configure, deploy and update an Elastic Agent on each host.
    • Fleet: Centrally manage and update Elastic Agent policies and lifecycles in Kibana.
  • Filebeat: a lightweight, logs-specific shipper for forwarding and centralizing log data.

Refer to the Elastic Agent and Beats capabilities comparison for more information on which option best fits your situation.

Install Elastic Agentedit

The following pages detail installing and managing the Elastic Agent in different modes.

  • Standalone Elastic Agent

    Install an Elastic Agent and manually configure it locally on the system where it’s installed. You are responsible for managing and upgrading the agents.

    Refer to Stream any log file to learn how to send a log file to Elasticsearch using a standalone Elastic Agent and configure the Elastic Agent and your data streams using the elastic-agent.yml file.

  • Fleet-managed Elastic Agent

    Install an Elastic Agent and use Fleet in Kibana to define, configure, and manage your agents in a central location.

    Refer to install Fleet-managed Elastic Agent.

  • Elastic Agent in a containerized environment

    Run an Elastic Agent inside of a container—either with Fleet Server or standalone.

    Refer to install Elastic Agent in a containerized environment.

Install Filebeatedit

Filebeat is a lightweight shipper for forwarding and centralizing log data. Installed as a service on your servers, Filebeat monitors the log files or locations that you specify, collects log events, and forwards them either to Elasticsearch or Logstash for indexing.

Parse and organize your logsedit

To get started parsing and organizing your logs, refer to Parse and organize logs for information on breaking unstructured log data into meaningful fields you can use to filter and aggregate your data.

The following resources provide information on important concepts related to parsing and organizing your logs:

  • Data streams: Efficiently store append-only time series data in multiple backing indices partitioned by time and size.
  • Data views: Query log entries from the data streams of specific datasets or namespaces.
  • Index lifecycle management: Configure the built-in logs policy based on your application’s performance, resilience, and retention requirements.
  • Ingest pipeline: Parse and transform log entries into a suitable format before indexing.
  • Mapping: define how data is stored and indexed.

View and monitor logsedit

With the Logs app in Kibana you can search, filter, and tail all your logs ingested into Elasticsearch in one place.

The following resources provide information on viewing and monitoring your logs:

  • Tail log files: monitor all of the log events flowing in from your servers, virtual machines, and containers in a centralized view.
  • Inspect log anomalies: use machine learning to detect log anomalies automatically.
  • Categorize log entries: use machine learning to categorize log messages to quickly identify patterns in your log events.
  • Configure data sources: Specify the source configuration for logs in the Logs app settings in the Kibana configuration file.

Monitor Kubernetes logsedit

You can use the Elastic Agent with the Kubernetes integration to collect and parse Kubernetes logs. Refer to Monitor Kubernetes.

View and monitor application logsedit

Application logs provide valuable insight into events that have occurred within your services and applications.

Refer to Stream application logs.

Create a log threshold alertedit

You can create a rule to send an alert when the log aggregation exceeds a threshold.

Refer to Log threshold.

Configure the default logs templateedit

Configure the default logs template using the logs@custom component template.

Refer to the Logs index template reference.

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