AWS Fargate module
editAWS Fargate module
editThis functionality is in beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features.
This module can be used to collect container logs from Amazon ECS on Fargate.
It uses filebeat awscloudwatch
input to get log files from one or more log
streams in AWS CloudWatch. Logs from all containers in Fargate launch type tasks
can be sent to CloudWatch by adding the awslogs
log driver under logConfiguration
section in the task definition. For example, logConfiguration
can be added into
the task definition by adding this section into the containerDefinitions
:
{ "logDriver":"awslogs", "options":{ "awslogs-group":"awslogs-wordpress", "awslogs-region":"us-west-2", "awslogs-stream-prefix":"awslogs-example" } }
The awsfargate
module requires AWS credentials configuration in order to make AWS API calls.
Users can either use access_key_id
, secret_access_key
and/or
session_token
, or use role_arn
AWS IAM role, or use shared AWS credentials file.
Please see AWS credentials options for more details.
Module configuration
editExample config:
- module: aws fargate: enabled: true var.credential_profile_name: test-filebeat var.log_group_arn: arn:aws:logs:us-east-1:1234567890:log-group:/ecs/test-log-group:*
-
var.log_group_arn
- ARN of the log group to collect logs from.
-
var.log_group_name
- Name of the log group to collect logs from. Note: region_name is required when log_group_name is given.
-
var.region_name
- Region that the specified log group belongs to.
-
var.log_streams
- A list of strings of log streams names that Filebeat collect log events from.
-
var.log_stream_prefix
- A string to filter the results to include only log events from log streams that have names starting with this prefix.
-
var.start_position
-
start_position
allows user to specify if this input should read log files from thebeginning
or from theend
.-
beginning
: reads from the beginning of the log group (default). -
end
: read only new messages from current time minusscan_frequency
going forward
-
-
var.scan_frequency
-
This config parameter sets how often Filebeat checks for new log events from the
specified log group. Default
scan_frequency
is 1 minute, which means Filebeat will sleep for 1 minute before querying for new logs again. -
var.api_timeout
- The maximum duration of AWS API can take. If it exceeds the timeout, AWS API will be interrupted. The default AWS API timeout for a message is 120 seconds. The minimum is 0 seconds.
-
var.api_sleep
-
This is used to sleep between AWS
FilterLogEvents
API calls inside the same collection period.FilterLogEvents
API has a quota of 5 transactions per second (TPS)/account/Region. By default,api_sleep
is 200 ms. This value should only be adjusted when there are multiple Filebeats or multiple Filebeat inputs collecting logs from the same region and AWS account. -
var.shared_credential_file
- Filename of AWS credential file.
-
var.credential_profile_name
- AWS credential profile name.
-
var.access_key_id
- First part of access key.
-
var.secret_access_key
- Second part of access key.
-
var.session_token
- Required when using temporary security credentials.
-
var.role_arn
- AWS IAM Role to assume.
-
var.endpoint
- The custom endpoint used to access AWS APIs.
AWS Credentials Configuration
editTo configure AWS credentials, either put the credentials into the Filebeat configuration, or use a shared credentials file, as shown in the following examples.
Configuration parameters
edit- access_key_id: first part of access key.
- secret_access_key: second part of access key.
- session_token: required when using temporary security credentials.
- credential_profile_name: profile name in shared credentials file.
- shared_credential_file: directory of the shared credentials file.
- role_arn: AWS IAM Role to assume.
-
endpoint: URL of the entry point for an AWS web service.
Most AWS services offer a regional endpoint that can be used to make requests.
The general syntax of a regional endpoint is
protocol://service-code.region-code.endpoint-code
. Some services, such as IAM, do not support regions. The endpoints for these services do not include a region. Inaws
module,endpoint
config is to set theendpoint-code
part, such asamazonaws.com
,amazonaws.com.cn
,c2s.ic.gov
,sc2s.sgov.gov
.
Supported Formats
edit-
Use
access_key_id
,secret_access_key
and/orsession_token
Users can either put the credentials into metricbeat module configuration or use
environment variable AWS_ACCESS_KEY_ID
, AWS_SECRET_ACCESS_KEY
and/or
AWS_SESSION_TOKEN
instead.
If running on Docker, these environment variables should be added as a part of the docker command. For example, with Metricbeat:
$ docker run -e AWS_ACCESS_KEY_ID=abcd -e AWS_SECRET_ACCESS_KEY=abcd -d --name=metricbeat --user=root --volume="$(pwd)/metricbeat.aws.yml:/usr/share/metricbeat/metricbeat.yml:ro" docker.elastic.co/beats/metricbeat:7.11.1 metricbeat -e -E cloud.auth=elastic:1234 -E cloud.id=test-aws:1234
Sample metricbeat.aws.yml
looks like:
metricbeat.modules: - module: aws period: 5m access_key_id: ${AWS_ACCESS_KEY_ID} secret_access_key: ${AWS_SECRET_ACCESS_KEY} session_token: ${AWS_SESSION_TOKEN} metricsets: - ec2
Environment variables can also be added through a file. For example:
$ cat env.list AWS_ACCESS_KEY_ID=abcd AWS_SECRET_ACCESS_KEY=abcd $ docker run --env-file env.list -d --name=metricbeat --user=root --volume="$(pwd)/metricbeat.aws.yml:/usr/share/metricbeat/metricbeat.yml:ro" docker.elastic.co/beats/metricbeat:7.11.1 metricbeat -e -E cloud.auth=elastic:1234 -E cloud.id=test-aws:1234
-
Use
credential_profile_name
and/orshared_credential_file
If access_key_id
, secret_access_key
and role_arn
are all not given, then
filebeat will check for credential_profile_name
. If you use different credentials for
different tools or applications, you can use profiles to configure multiple
access keys in the same configuration file. If there is no credential_profile_name
given, the default profile will be used.
shared_credential_file
is optional to specify the directory of your shared
credentials file. If it’s empty, the default directory will be used.
In Windows, shared credentials file is at C:\Users\<yourUserName>\.aws\credentials
.
For Linux, macOS or Unix, the file is located at ~/.aws/credentials
. When running as a service,
the home path depends on the user that manages the service, so the shared_credential_file
parameter can be used to avoid ambiguity. Please see
Create Shared Credentials File
for more details.
-
Use
role_arn
role_arn
is used to specify which AWS IAM role to assume for generating
temporary credentials. If role_arn
is given, filebeat will check if
access keys are given. If not, filebeat will check for credential profile
name. If neither is given, default credential profile will be used. Please make
sure credentials are given under either a credential profile or access keys.
If running on Docker, the credential file needs to be provided via a volume mount. For example, with Metricbeat:
docker run -d --name=metricbeat --user=root --volume="$(pwd)/metricbeat.aws.yml:/usr/share/metricbeat/metricbeat.yml:ro" --volume="/Users/foo/.aws/credentials:/usr/share/metricbeat/credentials:ro" docker.elastic.co/beats/metricbeat:7.11.1 metricbeat -e -E cloud.auth=elastic:1234 -E cloud.id=test-aws:1234
Sample metricbeat.aws.yml
looks like:
metricbeat.modules: - module: aws period: 5m credential_profile_name: elastic-beats shared_credential_file: /usr/share/metricbeat/credentials metricsets: - ec2
-
Use AWS credentials in Filebeat configuration
filebeat.inputs: - type: aws-s3 queue_url: https://sqs.us-east-1.amazonaws.com/123/test-queue access_key_id: '<access_key_id>' secret_access_key: '<secret_access_key>' session_token: '<session_token>'
or
filebeat.inputs: - type: aws-s3 queue_url: https://sqs.us-east-1.amazonaws.com/123/test-queue access_key_id: '${AWS_ACCESS_KEY_ID:""}' secret_access_key: '${AWS_SECRET_ACCESS_KEY:""}' session_token: '${AWS_SESSION_TOKEN:""}'
-
Use IAM role ARN
filebeat.inputs: - type: aws-s3 queue_url: https://sqs.us-east-1.amazonaws.com/123/test-queue role_arn: arn:aws:iam::123456789012:role/test-mb
-
Use shared AWS credentials file
filebeat.inputs: - type: aws-s3 queue_url: https://sqs.us-east-1.amazonaws.com/123/test-queue credential_profile_name: test-fb
AWS Credentials Types
editThere are two different types of AWS credentials can be used: access keys and temporary security credentials.
- Access keys
AWS_ACCESS_KEY_ID
and AWS_SECRET_ACCESS_KEY
are the two parts of access keys.
They are long-term credentials for an IAM user or the AWS account root user.
Please see
AWS Access Keys
and Secret Access Keys
for more details.
- IAM role ARN
An IAM role is an IAM identity that you can create in your account that has specific permissions that determine what the identity can and cannot do in AWS. A role does not have standard long-term credentials such as a password or access keys associated with it. Instead, when you assume a role, it provides you with temporary security credentials for your role session. IAM role Amazon Resource Name (ARN) can be used to specify which AWS IAM role to assume to generate temporary credentials. Please see AssumeRole API documentation for more details.
Here are the steps to set up IAM role using AWS CLI for Metricbeat. Please replace
123456789012
with your own account ID.
Step 1. Create example-policy.json
file to include all permissions:
{ "Version": "2012-10-17", "Statement": [ { "Sid": "VisualEditor0", "Effect": "Allow", "Action": [ "s3:GetObject", "sqs:ReceiveMessage" ], "Resource": "*" }, { "Sid": "VisualEditor1", "Effect": "Allow", "Action": "sqs:ChangeMessageVisibility", "Resource": "arn:aws:sqs:us-east-1:123456789012:test-fb-ks" }, { "Sid": "VisualEditor2", "Effect": "Allow", "Action": "sqs:DeleteMessage", "Resource": "arn:aws:sqs:us-east-1:123456789012:test-fb-ks" }, { "Sid": "VisualEditor3", "Effect": "Allow", "Action": [ "sts:AssumeRole", "sqs:ListQueues", "tag:GetResources", "ec2:DescribeInstances", "cloudwatch:GetMetricData", "ec2:DescribeRegions", "iam:ListAccountAliases", "sts:GetCallerIdentity", "cloudwatch:ListMetrics" ], "Resource": "*" } ] }
Step 2. Create IAM policy using the aws iam create-policy
command:
$ aws iam create-policy --policy-name example-policy --policy-document file://example-policy.json
Step 3. Create the JSON file example-role-trust-policy.json
that defines the trust relationship of the IAM role
{ "Version": "2012-10-17", "Statement": { "Effect": "Allow", "Principal": { "AWS": "arn:aws:iam::123456789012:root" }, "Action": "sts:AssumeRole" } }
Step 4. Create the IAM role and attach the policy:
$ aws iam create-role --role-name example-role --assume-role-policy-document file://example-role-trust-policy.json $ aws iam attach-role-policy --role-name example-role --policy-arn "arn:aws:iam::123456789012:policy/example-policy"
After these steps are done, IAM role ARN can be used for authentication in Metricbeat
aws
module.
- Temporary security credentials
Temporary security credentials has a limited lifetime and consists of an
access key ID, a secret access key, and a security token which typically returned
from GetSessionToken
. MFA-enabled IAM users would need to submit an MFA code
while calling GetSessionToken
. default_region
identifies the AWS Region
whose servers you want to send your first API request to by default. This is
typically the Region closest to you, but it can be any Region. Please see
Temporary Security Credentials
for more details.
sts get-session-token
AWS CLI can be used to generate temporary credentials. For example. with MFA-enabled:
aws> sts get-session-token --serial-number arn:aws:iam::1234:mfa/[email protected] --token-code 456789 --duration-seconds 129600
Because temporary security credentials are short term, after they expire, the user needs to generate new ones and modify the aws.yml config file with the new credentials. Unless live reloading feature is enabled for Metricbeat, the user needs to manually restart Metricbeat after updating the config file in order to continue collecting Cloudwatch metrics. This will cause data loss if the config file is not updated with new credentials before the old ones expire. For Metricbeat, we recommend users to use access keys in config file to enable aws module making AWS api calls without have to generate new temporary credentials and update the config frequently.
IAM policy is an entity that defines permissions to an object within your AWS environment. Specific permissions needs to be added into the IAM user’s policy to authorize Metricbeat to collect AWS monitoring metrics. Please see documentation under each metricset for required permissions.
Fields
editFor a description of each field in the module, see the exported fields section.