What is an Elastic integration?

This integration is powered by Elastic Agent. Elastic Agent is a single, unified way to add monitoring for logs, metrics, and other types of data to a host. It can also protect hosts from security threats, query data from operating systems, forward data from remote services or hardware, and more. Refer to our documentation for a detailed comparison between Beats and Elastic Agent.

Prefer to use Beats for this use case? See Filebeat modules for logs or Metricbeat modules for metrics.

Overview

The AWS Transit Gateway integration allows you to monitor AWS Transit Gateway—a service that connects networks to a single gateway.

Use the AWS Transit Gateway integration collect metrics related to traffic routed between VPCs and on-premises networks. Then visualize that data in Kibana, create alerts to notify you if something goes wrong, and reference metrics when troubleshooting an issue.

For example, you could use this integration to track the number of packets dropped because they did not match a route. Then set up anomaly detection to alert when the number of packets dropped spikes.

Data streams

The AWS Transit Gateway integration collects one type of data: metrics.

Metrics give you insight into the state of AWS Transit Gateway. Metrics collected by the AWS Transit Gateway integration include the number of bytes sent from the transit gateway, the number of bytes received from the transit gateway, the number of packets dropped because they did not match a route, and more. See more details in the Metrics reference.

Requirements

You need Elasticsearch for storing and searching your data and Kibana for visualizing and managing it. You can use our hosted Elasticsearch Service on Elastic Cloud, which is recommended, or self-manage the Elastic Stack on your own hardware.

Before using any AWS integration you will need:

  • AWS Credentials to connect with your AWS account.
  • AWS Permissions to make sure the user you're using to connect has permission to share the relevant data.

For more details about these requirements, see the AWS integration documentation.

Setup

Use this integration if you only need to collect data from the AWS Transit Gateway service.

If you want to collect data from two or more AWS services, consider using the AWS integration. When you configure the AWS integration, you can collect data from as many AWS services as you'd like.

For step-by-step instructions on how to set up an integration, see the Getting started guide.

Metrics reference

An example event for transitgateway looks as following:

{
    "agent": {
        "name": "a20ad158868c",
        "id": "ac8c5411-b1d9-486a-baf7-a719744b13e5",
        "ephemeral_id": "d43b281f-9a3e-48be-a7b2-e70c0d0b9acd",
        "type": "metricbeat",
        "version": "8.1.0"
    },
    "elastic_agent": {
        "id": "ac8c5411-b1d9-486a-baf7-a719744b13e5",
        "version": "8.1.0",
        "snapshot": false
    },
    "cloud": {
        "provider": "aws",
        "region": "eu-west-1",
        "account": {
            "name": "elastic-observability",
            "id": "627286350134"
        }
    },
    "@timestamp": "2022-07-26T21:58:00.000Z",
    "ecs": {
        "version": "8.0.0"
    },
    "data_stream": {
        "namespace": "default",
        "type": "metrics",
        "dataset": "aws.transitgateway"
    },
    "service": {
        "type": "aws"
    },
    "host": {
        "hostname": "a20ad158868c",
        "os": {
            "kernel": "5.10.104-linuxkit",
            "codename": "focal",
            "name": "Ubuntu",
            "type": "linux",
            "family": "debian",
            "version": "20.04.3 LTS (Focal Fossa)",
            "platform": "ubuntu"
        },
        "containerized": false,
        "ip": [
            "172.20.0.7"
        ],
        "name": "a20ad158868c",
        "mac": [
            "02:42:ac:14:00:07"
        ],
        "architecture": "aarch64"
    },
    "metricset": {
        "period": 60000,
        "name": "cloudwatch"
    },
    "aws": {
        "cloudwatch": {
            "namespace": "AWS/TransitGateway"
        },
        "transitgateway": {
            "metrics": {
                "PacketsOut": {
                    "sum": 0
                },
                "BytesDropCountNoRoute": {
                    "sum": 0
                },
                "PacketDropCountNoRoute": {
                    "sum": 0
                },
                "BytesOut": {
                    "sum": 0
                },
                "BytesIn": {
                    "sum": 0
                },
                "PacketsIn": {
                    "sum": 0
                },
                "BytesDropCountBlackhole": {
                    "sum": 0
                },
                "PacketDropCountBlackhole": {
                    "sum": 0
                }
            }
        },
        "dimensions": {
            "TransitGateway": "tgw-04653af6191a63891"
        }
    },
    "event": {
        "duration": 1614567042,
        "agent_id_status": "verified",
        "ingested": "2022-07-26T21:59:04Z",
        "module": "aws",
        "dataset": "aws.transitgateway"
    }
}

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
aws.cloudwatch.namespace
The namespace specified when query cloudwatch api.
keyword
aws.dimensions.*
Metric dimensions.
object
aws.dimensions.TransitGateway
Filters the metric data by transit gateway.
keyword
aws.dimensions.TransitGatewayAttachment
Filters the metric data by transit gateway attachment.
keyword
aws.s3.bucket.name
Name of a S3 bucket.
keyword
aws.tags.*
Tag key value pairs from aws resources.
object
aws.transitgateway.metrics.BytesDropCountBlackhole.sum
The number of bytes dropped because they matched a blackhole route.
long
aws.transitgateway.metrics.BytesDropCountNoRoute.sum
The number of bytes dropped because they did not match a route.
long
aws.transitgateway.metrics.BytesIn.sum
The number of bytes received by the transit gateway.
long
aws.transitgateway.metrics.BytesOut.sum
The number of bytes sent from the transit gateway.
long
aws.transitgateway.metrics.PacketDropCountBlackhole.sum
The number of packets dropped because they matched a blackhole route.
long
aws.transitgateway.metrics.PacketDropCountNoRoute.sum
The number of packets dropped because they did not match a route.
long
aws.transitgateway.metrics.PacketsIn.sum
The number of packets received by the transit gateway.
long
aws.transitgateway.metrics.PacketsOut.sum
The number of packets sent by the transit gateway.
long
cloud
Fields related to the cloud or infrastructure the events are coming from.
group
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.account.name
The cloud account name or alias used to identify different entities in a multi-tenant environment. Examples: AWS account name, Google Cloud ORG display name.
keyword
cloud.availability_zone
Availability zone in which this host, resource, or service is located.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host, resource, or service is located.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error
These fields can represent errors of any kind. Use them for errors that happen while fetching events or in cases where the event itself contains an error.
group
error.message
Error message.
match_only_text
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword