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ECS formatted application logs

ECS formatted application logs

Logs formatted in Elastic Common Schema (ECS) don’t require manual parsing, and the configuration can be reused across applications. ECS-formatted logs, when paired with an APM agent, allow you to correlate logs to easily view logs that belong to a particular trace.

You can format your logs in ECS format the following ways:

ECS loggers: plugins for your logging libraries that reformat your logs into ECS format.
APM agent ECS reformatting: Java, Ruby, and Python APM agents automatically reformat application logs to ECS format without a logger.

ECS loggers

ECS loggers reformat your application logs into ECS-compatible JSON, removing the need for manual parsing. ECS loggers require Filebeat or Elastic Agent configured to monitor and capture application logs. In addition, pairing ECS loggers with your framework’s APM agent allows you to correlate logs to easily view logs that belong to a particular trace.

Get started with ECS loggers

For more information on adding an ECS logger to your application, refer to the guide for your framework:

APM agent ECS reformatting

Java, Ruby, and Python APM agents can automatically reformat application logs to ECS format without an ECS logger or the need to modify your application. The APM agent also allows for log correlation so you can easily view logs that belong to a particular trace.

To set up log ECS reformatting:

Enable log ECS reformatting

Log ECS reformatting is controlled by the log_ecs_reformatting configuration option, and is disabled by default. Refer to the guide for your framework for information on enabling:

Ingest logs

After enabling log ECS reformatting, send your application logs to your project using one of the following shipping tools:

Filebeat: A lightweight data shipper that sends log data to your project.
Elastic Agent: A single agent for logs, metrics, security data, and threat prevention. With Fleet, you can centrally manage Elastic Agent policies and lifecycles directly from your project.

Ingest logs with Filebeat

Follow these steps to ingest application logs with Filebeat.

Step 1: Install Filebeat

Install Filebeat on the server you want to monitor by running the commands that align with your system:

curl -L -O https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-9.0.0-beta1-darwin-x86_64.tar.gz
tar xzvf filebeat-9.0.0-beta1-darwin-x86_64.tar.gz

curl -L -O https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-9.0.0-beta1-linux-x86_64.tar.gz
tar xzvf filebeat-9.0.0-beta1-linux-x86_64.tar.gz

Download the Filebeat Windows zip file: https\://artifacts.elastic.co/downloads/beats/filebeat/filebeat-9.0.0-beta1-windows-x86_64.zip[https\://artifacts.elastic.co/downloads/beats/filebeat/filebeat-9.0.0-beta1-windows-x86_64.zip]
Extract the contents of the zip file into C:\Program Files.
Rename the filebeat-{version}-windows-x86_64 directory to {filebeat}.
Open a PowerShell prompt as an Administrator (right-click the PowerShell icon and select Run As Administrator).

From the PowerShell prompt, run the following commands to install Filebeat as a Windows service:

PS > cd 'C:\Program Files\{filebeat}'
PS C:\Program Files\{filebeat}> .\install-service-filebeat.ps1

If script execution is disabled on your system, you need to set the execution policy for the current session to allow the script to run. For example: PowerShell.exe -ExecutionPolicy UnRestricted -File .\install-service-filebeat.ps1.

curl -L -O https\://artifacts.elastic.co/downloads/beats/filebeat/filebeat-9.0.0-beta1-amd64.deb
sudo dpkg -i filebeat-9.0.0-beta1-amd64.deb

curl -L -O https\://artifacts.elastic.co/downloads/beats/filebeat/filebeat-9.0.0-beta1-x86_64.rpm
sudo rpm -vi filebeat-9.0.0-beta1-x86_64.rpm

Step 2: Connect to your project

Connect to your project using an API key to set up Filebeat. Set the following information in the filebeat.yml file:

output.elasticsearch:
  hosts: ["your-projects-elasticsearch-endpoint"]
  api_key: "id:api_key"

Set the hosts to your deployment’s Elasticsearch endpoint. Copy the Elasticsearch endpoint from Help menu () → Connection details. For example, https://my-deployment.es.us-central1.gcp.cloud.es.io:443.

From Developer tools, run the following command to create an API key that grants manage permissions for the cluster and the filebeat-* indices using:

POST /_security/api_key
{
  "name": "filebeat_host001",
  "role_descriptors": {
    "filebeat_writer": {
      "cluster": ["manage"],
      "index": [
        {
          "names": ["filebeat-*"],
          "privileges": ["manage"]
        }
      ]
    }
  }
}

Refer to Grant access using API keys for more information.

Step 3: Configure Filebeat

Add the following configuration to your filebeat.yaml file to start collecting log data.

filebeat.inputs:
- type: filestream  
  enabled: true
  paths: /path/to/logs.log

	Reads lines from an active log file.
	Paths that you want Filebeat to crawl and fetch logs from.

Step 4: Set up and start Filebeat

From the Filebeat installation directory, set the index template by running the command that aligns with your system:

./filebeat setup -e

./filebeat setup -e

PS > .\filebeat.exe setup -e

filebeat setup -e

filebeat setup -e

From the Filebeat installation directory, start filebeat by running the command that aligns with your system:

sudo service filebeat start

If you use an init.d script to start Filebeat, you can’t specify command line flags (see Command reference). To specify flags, start Filebeat in the foreground.

Also see Filebeat and systemd.

sudo service filebeat start

If you use an init.d script to start Filebeat, you can’t specify command line flags (see Command reference). To specify flags, start Filebeat in the foreground.

Also see Filebeat and systemd.

./filebeat -e

./filebeat -e

PS C:\Program Files\filebeat> Start-Service filebeat

By default, Windows log files are stored in C:\ProgramData\filebeat\Logs.

Ingest logs with Elastic Agent

Add the custom logs integration to ingest and centrally manage your logs using Elastic Agent and Fleet:

Add the custom logs integration to your project

To add the custom logs integration to your project:

From your deployment’s home page, click Add Integrations.
Type custom in the search bar and select Custom Logs.
Click Install Elastic Agent at the bottom of the page, and follow the instructions for your system to install the Elastic Agent.
After installing the Elastic Agent, click Save and continue to configure the integration from the Add Custom Logs integration page.
Give your integration a meaningful name and description.
Add the Log file path. For example, /var/log/your-logs.log.
Click Advanced options.
In the Processors text box, add the following YAML configuration to add processors that enhance your data. Refer to processors to learn more.
```
processors:
  - add_host_metadata: \~
  - add_cloud_metadata: \~
  - add_docker_metadata: \~
  - add_kubernetes_metadata: \~
```

Under Custom configurations, add the following YAML configuration to collect data.

  json:
    overwrite_keys: true 
    add_error_key: true 
    expand_keys: true 
    keys_under_root: true 
  fields_under_root: true 
  fields:
    service.name: your_service_name 
    service.version: your_service_version 
    service.environment: your_service_environment

	Values from the decoded JSON object overwrite the fields that Elastic Agent normally adds (type, source, offset, etc.) in case of conflicts.
	Elastic Agent adds an "error.message" and "error.type: json" key in case of JSON unmarshalling errors.
	Elastic Agent will recursively de-dot keys in the decoded JSON, and expand them into a hierarchical object structure.
	By default, the decoded JSON is placed under a "json" key in the output document. When set to `true`, the keys are copied top level in the output document.
	When set to `true`, custom fields are stored as top-level fields in the output document instead of being grouped under a fields sub-dictionary.
	The `service.name` (required), `service.version` (optional), and `service.environment` (optional) of the service you’re collecting logs from, used for log correlation.

Give your agent policy a name. The agent policy defines the data your Elastic Agent collects.
Save your integration to add it to your deployment.

View logs

Refer to the Filter and aggregate logs documentation for more information on viewing and filtering your logs in Kibana.

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