Logstash

Supported OS Linux Mac OS Windows

Integration version1.1.0

Overview

Get metrics from Logstash in real time to:

  • Visualize and monitor Logstash states.
  • Be notified about Logstash events.

Setup

Installation

The Logstash check is not included in the Datadog Agent package, so you need to install it.

Host

For Agent v7.21+ / v6.21+, follow the instructions below to install the Logstash check on your host. For earlier versions of the Agent, see Use Community Integrations.

  1. Run the following command to install the Agent integration:

    datadog-agent integration install -t datadog-logstash==<INTEGRATION_VERSION>
    
  2. Configure your integration similar to core integrations.

Containerized

Use the following Dockerfile to build a custom Datadog Agent image that includes the Logstash integration.

FROM gcr.io/datadoghq/agent:latest
RUN datadog-agent integration install -r -t datadog-logstash==<INTEGRATION_VERSION>

If you are using Kubernetes, update your Datadog Operator or Helm chart configuration to pull this custom Datadog Agent image.

See Use Community Integrations for more context.

Configuration

Metric collection

Host
  1. Edit the logstash.d/conf.yaml file in the conf.d/ folder at the root of your Agent’s configuration directory.

    init_config:
    
    instances:
      # The URL where Logstash provides its monitoring API.
      # This will be used to fetch various runtime metrics about Logstash.
      #
      - url: http://localhost:9600
    

    See the sample logstash.d/conf.yaml for all available configuration options.

  2. Restart the Agent.

Containerized

For containerized environments, use an Autodiscovery template with the following parameters:

ParameterValue
<INTEGRATION_NAME>logstash
<INIT_CONFIG>blank or {}
<INSTANCE_CONFIG>{"server": "http://%%host%%:9600"}

To learn how to apply this template, see Docker Integrations or Kubernetes Integrations.

See the sample logstash.d/conf.yaml for all available configuration options.

Log collection

Datadog has an output plugin for Logstash that takes care of sending your logs to your Datadog platform.

To install this plugin run the following command:

  • logstash-plugin install logstash-output-datadog_logs

Then configure the datadog_logs plugin with your Datadog API key:

output {
    datadog_logs {
        api_key => "<DATADOG_API_KEY>"
    }
}

By default, the plugin is configured to send logs through HTTPS (port 443) using gzip compression. You can change this behavior by using the following parameters:

  • use_http: Set this to false if you want to use TCP forwarding and update the host and port accordingly (default is true).
  • use_compression: Compression is only available for HTTP. Disable it by setting this to false (default is true).
  • compression_level: Set the compression level from HTTP. The range is from 1 to 9, 9 being the best ratio (default is 6).

Additional parameters can be used to change the endpoint used in order to go through a proxy:

  • host: The proxy endpoint for logs not directly forwarded to Datadog (default value: http-intake.logs.datadoghq.com).
  • port: The proxy port for logs not directly forwarded to Datadog (default value: 80).
  • ssl_port: The port used for logs forwarded with a secure TCP/SSL connection to Datadog (default value: 443).
  • use_ssl: Instructs the Agent to initialize a secure TCP/SSL connection to Datadog (default value: true).
  • no_ssl_validation: Disables SSL hostname validation (default value: false).

Note: Set host and port to your region .

output {
   datadog_logs {
       api_key => "<DATADOG_API_KEY>"
       host => "http-intake.logs.datadoghq.eu"
   }
}
Add metadata to your logs

To get the best use out of your logs in Datadog, it is important to have the proper metadata associated with your logs, including hostname and source. By default, the hostname and timestamp should be properly remapped thanks to Datadog’s default remapping for reserved attributes. To make sure the service is correctly remapped, add its attribute value to the service remapping list.

Source

Set up a Logstash filter to set the source (Datadog integration name) on your logs.

filter {
  mutate {
    add_field => {
 "ddsource" => "<MY_SOURCE_VALUE>"
       }
    }
 }

This triggers the integration automatic setup in Datadog.

Custom tags

Host tags are automatically set on your logs if there is a matching hostname in your infrastructure list. Use the ddtags attribute to add custom tags to your logs:

filter {
  mutate {
    add_field => {
        "ddtags" => "env:test,<KEY:VALUE>"
       }
    }
 }

Validation

Run the Agent’s status subcommand and look for logstash under the Checks section.

Compatibility

The Logstash check is compatible with Logstash 5.x, 6.x and 7.x versions. It also supports the new multi-pipelines metrics introduced in Logstash 6.0. Tested with Logstash versions 5.6.15, 6.3.0 and 7.0.0.

Data Collected

Metrics

logstash.process.open_file_descriptors
(gauge)
The number of open file descriptors used by this process.
logstash.process.peak_open_file_descriptors
(gauge)
The peak number of open file descriptors used by this process.
logstash.process.max_file_descriptors
(gauge)
The maximum number of file descriptors used by this process.
logstash.process.mem.total_virtual_in_bytes
(gauge)
Total virtual memory allocated to this process.
Shown as byte
logstash.process.cpu.total_in_millis
(gauge)
The CPU time in milliseconds.
Shown as millisecond
logstash.process.cpu.percent
(gauge)
CPU utilization in percentage.
Shown as percent
logstash.process.cpu.load_average.1m
(gauge)
The average CPU load over one minute.
logstash.process.cpu.load_average.5m
(gauge)
The average CPU load over five minutes
logstash.process.cpu.load_average.15m
(gauge)
The average CPU load over fifteen minutes.
logstash.jvm.threads.count
(gauge)
Number of threads used by the JVM.
Shown as thread
logstash.jvm.threads.peak_count
(gauge)
The peak number of threads used by JVM.
Shown as thread
logstash.jvm.mem.heap_used_percent
(gauge)
Total Java heap memory used.
Shown as percent
logstash.jvm.mem.heap_committed_in_bytes
(gauge)
Total Java heap memory committed.
Shown as byte
logstash.jvm.mem.heap_max_in_bytes
(gauge)
Maximum Java heap memory size.
Shown as byte
logstash.jvm.mem.heap_used_in_bytes
(gauge)
Total Java heap memory used.
Shown as byte
logstash.jvm.mem.non_heap_used_in_bytes
(gauge)
Total Java non-heap memory used.
Shown as byte
logstash.jvm.mem.non_heap_committed_in_bytes
(gauge)
Total Java non-heap memory committed.
Shown as byte
logstash.jvm.mem.pools.survivor.peak_used_in_bytes
(gauge)
The Java memory used in the Survivor space.
Shown as byte
logstash.jvm.mem.pools.survivor.used_in_bytes
(gauge)
The peak Java memory used in the Survivor space.
Shown as byte
logstash.jvm.mem.pools.survivor.peak_max_in_bytes
(gauge)
The peak maximum Java memory used in the Survivor space.
Shown as byte
logstash.jvm.mem.pools.survivor.max_in_bytes
(gauge)
The maximum Java memory used in the Survivor space.
Shown as byte
logstash.jvm.mem.pools.survivor.committed_in_bytes
(gauge)
The committed Java memory used in the Survivor space.
Shown as byte
logstash.jvm.mem.pools.old.peak_used_in_bytes
(gauge)
The peak Java memory used in the Old generation.
Shown as byte
logstash.jvm.mem.pools.old.used_in_bytes
(gauge)
The Java memory used in the Old generation.
Shown as byte
logstash.jvm.mem.pools.old.peak_max_in_bytes
(gauge)
The peak maximum Java memory used in the Old generation.
Shown as byte
logstash.jvm.mem.pools.old.max_in_bytes
(gauge)
The maximum Java memory used in the Old generation.
Shown as byte
logstash.jvm.mem.pools.old.committed_in_bytes
(gauge)
The committed Java memory used in the Old generation.
Shown as byte
logstash.jvm.mem.pools.young.peak_used_in_bytes
(gauge)
The peak Java memory used in the Young space.
Shown as byte
logstash.jvm.mem.pools.young.used_in_bytes
(gauge)
The Java memory used in the Young generation.
Shown as byte
logstash.jvm.mem.pools.young.peak_max_in_bytes
(gauge)
The peak maximum Java memory used in the Young generation.
Shown as byte
logstash.jvm.mem.pools.young.max_in_bytes
(gauge)
The maximum Java memory used in the Young generation.
Shown as byte
logstash.jvm.mem.pools.young.committed_in_bytes
(gauge)
The committed Java memory used in the Young generation.
Shown as byte
logstash.jvm.gc.collectors.old.collection_time_in_millis
(gauge)
Garbage collection time spent in the Old generation.
Shown as millisecond
logstash.jvm.gc.collectors.old.collection_count
(gauge)
Garbage collection count in the Old generation.
logstash.jvm.gc.collectors.young.collection_time_in_millis
(gauge)
Garbage collection time spent in the Young generation.
Shown as millisecond
logstash.jvm.gc.collectors.young.collection_count
(gauge)
Garbage collection time spent in the Young generation.
logstash.reloads.successes
(gauge)
Number of successful configuration reloads.
logstash.reloads.failures
(gauge)
Number of failed configuration reloads.
logstash.pipeline.dead_letter_queue.queue_size_in_bytes
(gauge)
Total size of the dead letter queue.
Shown as byte
logstash.pipeline.events.duration_in_millis
(gauge)
Events duration in the pipeline.
Shown as millisecond
logstash.pipeline.events.in
(gauge)
Number of events into the pipeline.
logstash.pipeline.events.out
(gauge)
Number of events out from the pipeline.
logstash.pipeline.events.filtered
(gauge)
Number of events filtered.
logstash.pipeline.reloads.successes
(gauge)
Number of successful pipeline reloads.
logstash.pipeline.reloads.failures
(gauge)
Number of failed pipeline reloads.
logstash.pipeline.plugins.inputs.events.out
(gauge)
Number of events out from the input plugin.
logstash.pipeline.plugins.inputs.events.queue_push_duration_in_millis
(gauge)
Duration of queue push in the input plugin.
Shown as millisecond
logstash.pipeline.plugins.outputs.events.in
(gauge)
Number of events into the output plugin.
logstash.pipeline.plugins.outputs.events.out
(gauge)
Number of events out from the output plugin.
logstash.pipeline.plugins.outputs.events.duration_in_millis
(gauge)
Duration of events in the output plugin.
Shown as millisecond
logstash.pipeline.plugins.filters.events.in
(gauge)
Number of events into the filter plugin.
logstash.pipeline.plugins.filters.events.out
(gauge)
Number of events out from the filter plugin.
logstash.pipeline.plugins.filters.events.duration_in_millis
(gauge)
Duration of events in the filter plugin.
Shown as millisecond
logstash.pipeline.queue.capacity.max_queue_size_in_bytes
(gauge)
Maximum queue capacity in bytes of a persistent queue.
Shown as byte
logstash.pipeline.queue.capacity.max_unread_events
(gauge)
Maximum unread events allowed in a persistent queue.
logstash.pipeline.queue.capacity.page_capacity_in_bytes
(gauge)
Queue page capacity in bytes of a persistent queue.
Shown as byte
logstash.pipeline.queue.capacity.queue_size_in_bytes
(gauge)
Disk used in bytes of a persistent queue.
Shown as byte
logstash.pipeline.queue.events
(gauge)
Number of events in a persistent queue.

Events

The Logstash check does not include any events.

Service Checks

logstash.can_connect
Returns Critical if the Agent cannot connect to Logstash to collect metrics, returns OK otherwise.
Statuses: ok, critical

Troubleshooting

Agent cannot connect

    logstash
    -------
      - instance #0 [ERROR]: "('Connection aborted.', error(111, 'Connection refused'))"
      - Collected 0 metrics, 0 events & 1 service check

Check that the url in conf.yaml is correct.

If you need further help, contact Datadog support.

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