![]() ![]() The first thing we need to do is create a user and accompanying access keys for our docker daemon to use. Because specifying a $HOME folder for machine accounts / services feels like the wrong thing to do, I’m going to set the AWS credentials as environment variables in the service configuration. Without this variable the docker daemon won’t be able to resolve ~/. Setting credentials in ~/.aws/credentials looks easy enough, but for most background services the $HOME environment variable is not set. While using the EC2 instance policy is probably the easiest, not all of my servers were running in EC2, so this was not an option for me. Via the EC2 instance policy if it is running on an AWS EC2 instance. ![]() Via the shared credentials in ~/.aws/credentials.There are 3 ways to pass AWS credentials to the docker daemon: On a Ubuntu system the docker daemon runs as a background service. While this design is great and enables a lot of the docker magic behind docker-swarm and docker-machine, both are unfortunately, and confusingly, named docker. Introductionĭocker consists of 2 main components: the docker client that you directly interact with on the cli and the docker daemon or docker engine that actually performs the work. This proved to be slightly more tricky than I had anticipated, which is why I’m documenting it here. ![]() In order to do this you need to supply the docker daemon, rather than the docker client, with access keys so that it can write into your account. ![]() For some of my projects I wanted to start moving the logs of my containers into AWS Cloudwatch. This makes it very easy to integrate your docker containers with a centralized log management system in a transparent way. Last year docker added support for multiple logging drivers. : Added an example with docker-compose v2 syntax #aws, #cloudwatch, #docker, #linux, #logs, #ubuntu Pass Credentials to the awslogs Docker Logging Driver on Ubuntu Let's ship some logs ![]()
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