I am trying to create a workflow where developers in my organisation can upload docker images to our AWS ECR. The following commands work :
Step-1: Get Token
aws ecr get-login-password --region <region> | docker login --username AWS --password-stdin <repo-url>
Step-2: Tag the already built image
docker tag <local-image:tag> <ecr-repo-url>:latest
Step-3: Finally Push
docker push <ecr-repo-url>:latest
Now this works absolutely fine.
However as I am trying to automate the above steps. I will NOT have AWS CLI configured on end users machine. So Step-1 will fail for the end user
So two quick queries:
Can I get the token from a remote machine and Step-2 and Step-3 can happen from client
Can I do all the three steps in remote and I have a service that uploads the local docker image to the remote server which in turn will take care of tag - push
I'm hoping that the end-user will have docker installed
In that case you can make use AWS CLI docker image to obtain the token from ECR.
The token itself is just a temporary password so whether you use the AWS CLI on the remote server or not it will be valid for the Docker credentials.
You of also have the option of using the AWS SDK that you could package with a small application to perform this action, such as Boto3 although you would need to ensure that the host itself has the relevant programming language configured.
Alternatively if you want this to be automated you could actually look at using a CI/CD pipeline.
GitHub has Actions, BitBucket has Pipelines and GitLab has arguably the most CI/CD built into it. This would have these services perform all of the above actions for you.
As a final suggestion you could use CodeBuild within a CodePipeline to build your image and then tag and deploy it to ECR for you. This will be automated by a trigger and not require any permanent infrastructure.
More information about this option is available in the Build a Continuous Delivery Pipeline for Your Container Images with Amazon ECR as Source article.
Related
I'm configuring a docker agent template in jenkins and specifying a docker image in an ECR. When I select the "registry authentication" credentials drop down, I can only see username/password credentials despite having other things like AWS credentials configured in jenkins. The credentials have global scope and I'm using them in another pipeline using withCredentials(aws(...)) binding plugin syntax.
I tried creating a username/password credential using the AWS access and secret key, but that doesn't seem to work - likely because it's just passing them directly as user/pass rather than using aws ecr get-login-password.
Is there any way to do this from the agent template configuration? I know I can specify the docker agent more explicitly in the Jenkins file, but I'm trying to stay consistent with other agents we use.
I am looking to integrate enterprise bitbucket server with aws ci/cd pipeline features.
I have tried creating a project within aws codebuild but do not see any option for bitbucket enterprise .
If this is not possible then what is the long route using api gateway / webhooks etc ?
AWS Codebuild only supports the Bitbucket cloud. To integrate with Bitbucket self hosted solution, you will need to create a API gateway + Lambda. And then add this gateway address as a webhook in the bitbucket repo. The Lambda will then be responsible to process the incoming events from Bitbucket server. There could be 2 routes from here.
One way could be to download the zip for the particular commit and upload it on a S3 bucket. Add S3 as a source trigger for the build project. You lose the ability to run any git specific commands in such a case though as it's just a zip file containing the specific version of files.
Second option could be to pass on the relevant info to codebuild by directly invoking it from Lambda. Passing off details like commit_id, event (pr or push), branch etc as environment variables. Based on this info, run a git clone in codebuild before running other build steps. This way you would have access to git specific commands.
Here is an example workflow from AWS (it is for codepipeline, but you can modify it suitably for codebuild)
I"m trying to push a microservice in a ECS Cluster in AWS, following this tutorial:
https://aws.amazon.com/pt/getting-started/projects/break-monolith-app-microservices-ecs-docker-ec2/module-one/
I clone the repository, login on AWS from AWS Cli, have run the commands, step by step:
Then i receive a message "no basic auth credentials".
Has Anybody faced this issue?
This happens because you haven't authenticated your Docker client to your registry.
To solve this, go to your ECR console in AWS. Then enter your repository. In there you should be able to find a button called View push commands. It will give you
ready, copy-and-paste commands to authenticate, build, tag and push your image to ECR. The commands are for Linux, Mac and Windows.
The description of the commands for authentication is here: https://docs.aws.amazon.com/AmazonECR/latest/userguide/Registries.html#registry_auth
Was trying to integrate kubernetes with AWS Container Registry. From what I have read it sounds like it should be automatically setup if the cluster is deployed to AWS. Which my cluster is.
I also granted the IAM Roles the necessary permissions to pull from ecr but I still get unable to pull image when trying to deploy on kubernetes. It also says authentication failed.
Really just wanted to see if anyone else was having issues or if someone was able to pull an image from aws ecr and how did they accomplish it.
Since we use AWS for a number of other projects, when it came time to publish private docker images in a repository, I really wanted to use Amazon Elastic Container Registry.
However, the login process seems overly complicated.
Is it correct that the only way to log into the ECR is to use the aws command line tools to generate a 12hour token, and use that with the Docker login command?
Any advice on scripting this process without AWS tools?
You must use AWS tools to generate a temporary authorization token to be used by Docker CLI since it does not support the standard AWS authentication methods. Quoting the explanation from the official AWS ECR authentication documentation:
Because the Docker CLI does not support the standard AWS authentication methods, you must authenticate your Docker client another way so that Amazon ECR knows who is requesting to push or pull an image. If you are using the Docker CLI, then use the docker login command to authenticate to an Amazon ECR registry with an authorization token that is provided by Amazon ECR and is valid for 12 hours. The GetAuthorizationToken API operation provides a base64-encoded authorization token that contains a user name (AWS) and a password that you can decode and use in a docker login command. However, a much simpler get-login command (which retrieves the token, decodes it, and converts it to a docker login command for you) is available in the AWS CLI.
Pay attention that although you must use AWS tools to generate the authentication token, using the AWS CLI is not the only option. You can call the GetAuthorizationToken using any form of the AWS tools which is convenient to use from your scripts.
The get-login command is available only in the AWS CLI as opposed to other AWS tools. As quoted above, it is claimed to be a simple way to perform the authorization.