prometheus pipe amazon

Amazon CloudWatch Logs logging driver

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The awslogs logging driver sends container logs to Amazon CloudWatch Logs. Log entries can be retrieved through the AWS Management Console or the AWS SDKs and Command Line Tools.


To use the awslogs driver as the default logging driver, set the log-driver and log-opt keys to appropriate values in the daemon.json file, which is located in /etc/docker/ on Linux hosts or C:\ProgramData\docker\config\daemon.json on Windows Server. For more about configuring Docker using daemon.json , see daemon.json. The following example sets the log driver to awslogs and sets the awslogs-region option.

Restart Docker for the changes to take effect.

You can set the logging driver for a specific container by using the –log-driver option to docker run :

If you are using Docker Compose, set awslogs using the following declaration example:

Amazon CloudWatch Logs options

You can add logging options to the daemon.json to set Docker-wide defaults, or use the –log-opt NAME=VALUE flag to specify Amazon CloudWatch Logs logging driver options when starting a container.


The awslogs logging driver sends your Docker logs to a specific region. Use the awslogs-region log option or the AWS_REGION environment variable to set the region. By default, if your Docker daemon is running on an EC2 instance and no region is set, the driver uses the instance’s region.


By default, Docker uses either the awslogs-region log option or the detected region to construct the remote CloudWatch Logs API endpoint. Use the awslogs-endpoint log option to override the default endpoint with the provided endpoint.

The awslogs-region log option or detected region controls the region used for signing. You may experience signature errors if the endpoint you’ve specified with awslogs-endpoint uses a different region.


You must specify a log group for the awslogs logging driver. You can specify the log group with the awslogs-group log option:


To configure which log stream should be used, you can specify the awslogs-stream log option. If not specified, the container ID is used as the log stream.

Log streams within a given log group should only be used by one container at a time. Using the same log stream for multiple containers concurrently can cause reduced logging performance.


Log driver returns an error by default if the log group does not exist. However, you can set the awslogs-create-group to true to automatically create the log group as needed. The awslogs-create-group option defaults to false .

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


The awslogs-datetime-format 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. Thus 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.

This option always takes precedence if both awslogs-datetime-format and awslogs-multiline-pattern are configured.

Multiline logging performs regular expression parsing and matching of all log messages, which may have a negative impact on logging performance.

Consider the following log stream, where new log messages start with a timestamp:

The format can be expressed as a strftime expression of [%b %d, %Y %H:%M:%S] , and the awslogs-datetime-format value can be set to that expression:

This parses the logs into the following CloudWatch log events:

The following strftime codes are supported:

Code Meaning Example
%a Weekday abbreviated name. Mon
%A Weekday full name. Monday
%w Weekday as a decimal number where 0 is Sunday and 6 is Saturday. 0
%d Day of the month as a zero-padded decimal number. 08
%b Month abbreviated name. Feb
%B Month full name. February
%m Month as a zero-padded decimal number. 02
%Y Year with century as a decimal number. 2008
%y Year without century as a zero-padded decimal number. 08
%H Hour (24-hour clock) as a zero-padded decimal number. 19
%I Hour (12-hour clock) as a zero-padded decimal number. 07
%p AM or PM. AM
%M Minute as a zero-padded decimal number. 57
%S Second as a zero-padded decimal number. 04
%L Milliseconds as a zero-padded decimal number. .123
%f Microseconds as a zero-padded decimal number. 000345
%z UTC offset in the form +HHMM or -HHMM. +1300
%Z Time zone name. PST
%j Day of the year as a zero-padded decimal number. 363


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

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

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

For example, to process the following log stream where new log messages start with the pattern INFO :

Consider the following log stream, where each log message should start with the patther INFO :

You can use the regular expression of ^INFO :

Describes how to use the Amazon CloudWatch Logs logging driver.

Prometheus pipe amazon

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