LogConfiguration

The log configuration for the container. This parameter maps to LogConfig in the docker container create command and the --log-driver option to docker run.

By default, containers use the same logging driver that the Docker daemon uses. However, the container might use a different logging driver than the Docker daemon by specifying a log driver configuration in the container definition.

Understand the following when specifying a log configuration for your containers.

Amazon ECS currently supports a subset of the logging drivers available to the Docker daemon. Additional log drivers may be available in future releases of the Amazon ECS container agent.

For tasks on AWS Fargate, the supported log drivers are awslogs, splunk, and awsfirelens.

For tasks hosted on Amazon EC2 instances, the supported log drivers are awslogs, fluentd, gelf, json-file, journald,syslog, splunk, and awsfirelens.
This parameter requires version 1.18 of the Docker Remote API or greater on your container instance.
For tasks that are hosted on Amazon EC2 instances, the Amazon ECS container agent must register the available logging drivers with the ECS_AVAILABLE_LOGGING_DRIVERS environment variable before containers placed on that instance can use these log configuration options. For more information, see Amazon ECS container agent configuration in the Amazon Elastic Container Service Developer Guide.
For tasks that are on AWS Fargate, because you don't have access to the underlying infrastructure your tasks are hosted on, any additional software needed must be installed outside of the task. For example, the Fluentd output aggregators or a remote host running Logstash to send Gelf logs to.

logDriver

The log driver to use for the container.

For tasks on AWS Fargate, the supported log drivers are awslogs, splunk, and awsfirelens.

For tasks hosted on Amazon EC2 instances, the supported log drivers are awslogs, fluentd, gelf, json-file, journald, syslog, splunk, and awsfirelens.

For more information about using the awslogs log driver, see Send Amazon ECS logs to CloudWatch in the Amazon Elastic Container Service Developer Guide.

For more information about using the awsfirelens log driver, see Send Amazon ECS logs to an AWS service or AWS Partner.

Note

If you have a custom driver that isn't listed, you can fork the Amazon ECS container agent project that's available on GitHub and customize it to work with that driver. We encourage you to submit pull requests for changes that you would like to have included. However, we don't currently provide support for running modified copies of this software.

Type: String

Required: Yes

options

The configuration options to send to the log driver.

The options you can specify depend on the log driver. Some of the options you can specify when you use the awslogs log driver to route logs to Amazon CloudWatch include the following:

awslogs-create-group

Required: No

Specify whether you want the log group to be created automatically. If this option isn't specified, it defaults to false.

Note

Your IAM policy must include the logs:CreateLogGroup permission before you attempt to use awslogs-create-group.

awslogs-region

Required: Yes

Specify the AWS Region that the awslogs log driver is to send your Docker logs to. You can choose to send all of your logs from clusters in different Regions to a single region in CloudWatch Logs. This is so that they're all visible in one location. Otherwise, you can separate them by Region for more granularity. Make sure that the specified log group exists in the Region that you specify with this option.

awslogs-group

Required: Yes

Make sure to specify a log group that the awslogs log driver sends its log streams to.

awslogs-stream-prefix

Required: Yes, when using the Fargate launch type.Optional for the EC2 launch type, required for the Fargate launch type.

Use the awslogs-stream-prefix option to associate a log stream with the specified prefix, the container name, and the ID of the Amazon ECS task that the container belongs to. If you specify a prefix with this option, then the log stream takes the format prefix-name/container-name/ecs-task-id.

If you don't specify a prefix with this option, then the log stream is named after the container ID that's assigned by the Docker daemon on the container instance. Because it's difficult to trace logs back to the container that sent them with just the Docker container ID (which is only available on the container instance), we recommend that you specify a prefix with this option.

For Amazon ECS services, you can use the service name as the prefix. Doing so, you can trace log streams to the service that the container belongs to, the name of the container that sent them, and the ID of the task that the container belongs to.

You must specify a stream-prefix for your logs to have your logs appear in the Log pane when using the Amazon ECS console.

awslogs-datetime-format

Required: No

This option defines a multiline start pattern in Python strftime format. A log message consists of a line that matches the pattern and any following lines that don’t match the pattern. The matched line is the delimiter between log messages.

One example of a use case for using this format is for parsing output such as a stack dump, which might otherwise be logged in multiple entries. The correct pattern allows it to be captured in a single entry.

For more information, see awslogs-datetime-format.

You cannot configure both the awslogs-datetime-format and awslogs-multiline-pattern options.

Note

Multiline logging performs regular expression parsing and matching of all log messages. This might have a negative impact on logging performance.

awslogs-multiline-pattern

Required: No

This option defines a multiline start pattern that uses a regular expression. A log message consists of a line that matches the pattern and any following lines that don’t match the pattern. The matched line is the delimiter between log messages.

For more information, see awslogs-multiline-pattern.

This option is ignored if awslogs-datetime-format is also configured.

You cannot configure both the awslogs-datetime-format and awslogs-multiline-pattern options.

Note

Multiline logging performs regular expression parsing and matching of all log messages. This might have a negative impact on logging performance.

mode

Required: No

Valid values: non-blocking | blocking

This option defines the delivery mode of log messages from the container to CloudWatch Logs. The delivery mode you choose affects application availability when the flow of logs from container to CloudWatch is interrupted.

If you use the blocking mode and the flow of logs to CloudWatch is interrupted, calls from container code to write to the stdout and stderr streams will block. The logging thread of the application will block as a result. This may cause the application to become unresponsive and lead to container healthcheck failure.

If you use the non-blocking mode, the container's logs are instead stored in an in-memory intermediate buffer configured with the max-buffer-size option. This prevents the application from becoming unresponsive when logs cannot be sent to CloudWatch. We recommend using this mode if you want to ensure service availability and are okay with some log loss. For more information, see Preventing log loss with non-blocking mode in the awslogs container log driver.

max-buffer-size

Required: No

Default value: 1m

When non-blocking mode is used, the max-buffer-size log option controls the size of the buffer that's used for intermediate message storage. Make sure to specify an adequate buffer size based on your application. When the buffer fills up, further logs cannot be stored. Logs that cannot be stored are lost.

To route logs using the splunk log router, you need to specify a splunk-token and a splunk-url.

When you use the awsfirelens log router to route logs to an AWS Service or AWS Partner Network destination for log storage and analytics, you can set the log-driver-buffer-limit option to limit the number of events that are buffered in memory, before being sent to the log router container. It can help to resolve potential log loss issue because high throughput might result in memory running out for the buffer inside of Docker.

Other options you can specify when using awsfirelens to route logs depend on the destination. When you export logs to Amazon Data Firehose, you can specify the AWS Region with region and a name for the log stream with delivery_stream.

When you export logs to Amazon Kinesis Data Streams, you can specify an AWS Region with region and a data stream name with stream.

When you export logs to Amazon OpenSearch Service, you can specify options like Name, Host (OpenSearch Service endpoint without protocol), Port, Index, Type, Aws_auth, Aws_region, Suppress_Type_Name, and tls.

When you export logs to Amazon S3, you can specify the bucket using the bucket option. You can also specify region, total_file_size, upload_timeout, and use_put_object as options.

This parameter requires version 1.19 of the Docker Remote API or greater on your container instance. To check the Docker Remote API version on your container instance, log in to your container instance and run the following command: sudo docker version --format '{{.Server.APIVersion}}'

Type: String to string map

Required: No

secretOptions

The secrets to pass to the log configuration. For more information, see Specifying sensitive data in the Amazon Elastic Container Service Developer Guide.

Type: Array of Secret objects

Required: No

LogConfiguration

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