Is there a way to configure an S3 bucket/folder/file so that it is not publicly accessible, yet a user-data script can authenticate and obtain access to items in S3?
You should be assigning an IAM Role to your EC2 instance that has access to the S3 bucket, and any other AWS resources that the EC2 server needs to access. Then when you use the AWS CLI tool or the AWS SDK it will automatically use the IAM role assigned to the instance.
Related
Say I use aws-cli locally on my machine, I´d need to authenticate with credentials prior to any operation.
How do AWS services give permission to other services on my behalf? And more specifically, how does a container run aws-cli on my behalf without prior authentication?
I am asking this, after running my first pipeline successfully in codePipeline. My buildspec.yml does run aws s3 sync command flawlessly -which made me then wonder how do aws internally permissions work-.
AWS CodeBuild uses an IAM Service Role to provide AWS permissions to the CodeBuild environment. You should have had to create a service role for your CodeBuild configuration.
When the AWS cli tool runs, and it hasn't been previously configured with API access keys, it will check if it is running in an AWS environment like EC2 or Lambda and if so, it will use the AWS IAM role assigned to that runtime environment.
Hi all!
Code: (entrypoint.sh)
printenv
CREDENTIALS=$(curl -s "http://169.254.170.2$AWS_CONTAINER_CREDENTIALS_RELATIVE_URI")
ACCESS_KEY_ID=$(echo "$CREDENTIALS" | jq .AccessKeyId)
SECRET_ACCESS_KEY=$(echo "$CREDENTIALS" | jq .SecretAccessKey)
TOKEN=$(echo "$CREDENTIALS" | jq .Token)
export AWS_ACCESS_KEY_ID=$ACCESS_KEY_ID
export AWS_SECRET_ACCESS_KEY=$SECRET_ACCESS_KEY
export AWS_SESSION_TOKEN=$TOKEN
aws s3 cp s3://BUCKET/file.txt /PATH/file.txt
Problem:
I'm trying to fetch AWS S3 files to ECS inspired by:
AWS Documentation
(But I'm fetching from S3 directly, not throught VPC endpoint)
I have configured bucket policy & role policy (that is passed in taskDefinition as taskRoleArn & executionRoleArn)
Locally when I'm fetching with aws cli and passing temporary credentials (that I logged in ECS with printenv command in entrypoint script) everything works fine. I can save files on my pc.
On ECS I have error:
fatal error: An error occurred (403) when calling the HeadObject operation: Forbidden
Where can I find solution? Someone had similar problem?
Frist thing, If you are working inside AWS, It strongly recommended to use AWS ECS service role or ECS task role or EC2 role. you do need to fetch credentials from metadata.
But seems like the current role does have permission to s3 or the entrypoint not exporting properly the Environment variable.
If your container instance has already assing role then do not need to export Accesskey just call the aws s3 cp s3://BUCKET/file.txt /PATH/file.txt and it should work.
IAM Roles for Tasks
With IAM roles for Amazon ECS tasks, you can specify an IAM role that
can be used by the containers in a task. Applications must sign their
AWS API requests with AWS credentials, and this feature provides a
strategy for managing credentials for your applications to use,
similar to the way that Amazon EC2 instance profiles provide
credentials to EC2 instances. Instead of creating and distributing
your AWS credentials to the containers or using the EC2 instance’s
role, you can associate an IAM role with an ECS task definition or
RunTask API operation.
So the when you assign role to ECS task or ECS service your entrypoint will be that simple.
printenv
aws s3 cp s3://BUCKET/file.txt /PATH/file.txt
Also, your export will not work as you are expecting, the best way to pass ENV to container form task definition, export will not in this case.
I will suggest assigning role to ECS task and it should work as you are expecting.
I'm new to cloud infrastructure for Deep Learning and trying to use AWS for deep learning first time and I don't know how to access my data from EC2 launched instance.
My data is stored is S3 bucket but I'm not able to find a way how to get it together and start training.
In that EC2 instance. login via ssh.
install aws cli if its not there
configure credentials are add permission for ec2 instance to use s3 bucket.
otherwise add aws secret and access key
get files to your local system
aws s3 cp s3://mybucket/test.txt test2.txt
Get files from local to s3
aws s3 cp test.txt s3://mybucket/test2.txt
https://docs.aws.amazon.com/cli/latest/reference/s3/cp.html#examples
I am trying to get some files from S3 on startup in an EC2 instance by using a User Data script and the command
/usr/bin/aws s3 cp ...
The log tells me that permission was denied and I believe it is due to aws cli not finding any credentials when executing the user data script.
Running the command with sudo after the instance has started works fine.
I have run aws configure both with sudo and without.
I do not want to use cronjob to run something on startup since I am working with an AMI and often need to change the script, therefore it is more convenient for me to change the user data instead of creating a new AMI everytime the script changes.
If possible, I would also like to avoid writing the credentials into the script.
How can I configure awscli in such a way that the credentials are used when running a user data script?
I suggest you remove the AWS credentials from the instance/AMI. Your userdata script will be supplied with temporary credentials when needed by the AWS metadata server.
See: IAM Roles for Amazon EC2
Clear/delete AWS credentials configurations from your instance and create an AMI
Create a policy that has the minimum privileges to run your script
Create a IAM role and attach the policy you just created
Attach the IAM role when you launch the instance (very important)
Have your userdata script call /usr/bin/aws s3 cp ... without supplying credentials explicitly or using credentials file
You can configure your EC2 instance to receive a pre-defined IAM Role that has its credentials "baked-in" to the instance that it fetches upon instantiation, which it turn will allow it to call aws-cli commands in your User Data script without the need to configure credentials at all.
Here's more info on IAM Roles for EC2:
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/iam-roles-for-amazon-ec2.html
It's worth noting here that you'll need to attach the appropriate policies to the IAM Role that you assign to your instance in order for the aws-cli commands to succeed. More information on that can be found here:
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/iam-roles-for-amazon-ec2.html#working-with-iam-roles
I need to prepare Docker image with embedded Jar file to push it into ECR. Jar file is storing in S3 bucket. How I can inject jar inside image without explicit storing AWS access keys into image?
Maybe I can use AWS CLI or exist other way?
Also it is not recommended to add public access to my s3 bucket and set access keys via env variable during execute docker run.
You can define an AWS IAM Role and attach it to EC2 Instances. So any instance that needs to run this docker build command, can do so as long as it has the IAM role attached to it. You can do so from the AWS Console. This solves the problem of you putting AWS credentials on the instance itself.
You will still need to install the aws cli in your Dockerfile. Once IAM Role is attached, you don't have to worry about credentials.
Recommended docs:
IAM Roles for Amazon EC2
Here's an official blog post tutorial on how to do this:
Attach an AWS IAM Role to an Existing Amazon EC2 Instance by Using the AWS CLI
Just make sure you specify in the IAM Role which S3 Buckets you want these instances to have access to.