I am trying make some Continuous Integration in Teamcity. Which is deploying code from Bitbucket to AWS s3 bucket.
We have a repository in bitbucket and it contains couple of folders as
I just need to deploy this build folder with all the contents in it to the AWS and inside one of the S3 Bucket Repository.
We can overwrite the existing copy of Build Folder which is already existing in the S3 bucket Repo.
My initial approach was i have to create a IAM user or a role with sufficient permissions for TeamCity to access AWS services
I need to install a AWS code deploy plugin in Teamcity.
But my only question is that how can i get the code from Bitbucket to Teamcity and deploy in AWS bucket.
Is there anyway around Please do the need full to me..
Thanks in Advance..
Related
I have set up a private MWAA instance in AWS. It has set up a bucket that stores DAGs in S3.
I've created a private repository in Azure DevOps and have set up a role that can access this bucket.
With Azure-Pipelines is it possible to sync the entire repository to control the DAGs created/modified in that S3 bucket?
I've seen it's possible to create artefacts and push them to the S3 bucket, but what if a dag is deleted? The DAG will still persist in the S3 Bucket and will still be available in MWAA.
Any guidance will be appreciated.
If you just want to sync entire repository to S3 bucket,you can use the task Amazon S3 Upload in your azure pipeline.
I'm not sure if that will fully address your problem, though.
If there is any misunderstanding, please feel free to add comments related to your issue.
I would like a pipeline setup that I can run manually. The idea here is that it deletes a single file held within an AWS S3 account. I know technically there are many ways to do this, but what is best practice?
Thank you!
You can use a task: AWS CLI and add it into pipeline to delete a single file held within an AWS S3 account.
You can follow below steps :
1、 You should create a service connection before adding a AWS CLI task to pipeline.
Create AWS service connection
2、 Add AWS CLI task to pipeline and configure required parameters. Please know the meaning of parameters about AWS CLI. You can refer the document :
Command structure in the AWS CLI
The command structure is like:
aws <command> <subcommand> [options and parameters]
In this example, you can use the command below to delete a single s3 file:
aws s3 rm s3://BUCKET_NAME/uploads/file_name.jpg
“s3://BUCKET_NAME/uploads/file_name.jpg” is the file path you saved in S3.
AWS CLI in pipeline
3 run the pipeline and the single s3 file can be deleted successfully.
I would like to create an ECS task with Fargate, and have that upload a file to S3 using the AWS CLI (among other things). I know that it's possible to create task roles, which can provide the task with permissions on AWS services/resources. Similarly, in OpsWorks, the AWS SDK is able to query instance metadata to obtain temporary credentials for its instance profile. I also found these docs suggesting that something similar is possible with the AWS CLI on EC2 instances.
Is there an equivalent for Fargate—i.e., can the AWS CLI, running in a Fargate container, query the metadata service for temporary credentials? If not, what's a good way to authenticate so that I can upload a file to S3? Should I just create a user for this task and pass in AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY as environment variables?
(I know it's possible to have an ECS task backed by EC2, but this task is short-lived and run maybe monthly; it seemed a good fit for Fargate.)
"I know that it's possible to create task roles, which can provide the
task with permissions on AWS services/resources."
"Is there an equivalent for Fargate"
You already know the answer. The ECS task role isn't specific to EC2 deployments, it works with Fargate deployments as well.
You can get the task metadata, including IAM access keys, through the ECS metadata service. But you don't need to worry about that, because the AWS CLI, and any AWS SDK, will automatically pull that information when it is running inside an ECS task.
I am trying to create a custom AMI using packers.
I want to install some specific software on the custom AMI and my setups are present in S3 bucket. But it seems there is no direct way to download S3 file in packers just like cfn-init.
So is there any way to download file on EC2 instance using packers.
Install the awscli in the instance and use iam_instance_profile to give the instance permissions to get the files from S3.
I can envisage an instance where this is ineffective.
When building the image upon aws you use your local creds. Whilst the image is building this building packer image has a packer user and is not you and so not your creds and can't access the S3 (if private)
One option https://github.com/enmand/packer-provisioner-s3
Two option, use local-shell provisioner you pull down the S3 files to your machine using aws S3 cp, then file provisioner to upload to the correct folder in the builder image, you can then use remote-shell to do any other work on the files. I chose this as, although it's more code, it is more universal when I share my build, other have no need to install other stuff
Three option wait and wait. There is an enhancement spoke of in 2019 packer GitHub to offer an S3 passthrough using local cars but isn't on the official roadmap.
Assuming awscli is already installed on Ec2, use below sample commmand in a shell provisioner.
sudo aws s3 cp s3://bucket-name/path_to_folder/file_name /home/ec2-user/temp
I've been struggling with this one for quite a while. Thought it would work out-of-box based on AWS documentation of supporting the acl header.
I'm using the AWS S3 CLI in order to download files from my S3 bucket. Some of the files will need to have 'exec' permissions (running on Linux).
I can chmod the files but I would like to control that during the upload rather than during the download.
So, the question is whether I can use the AWS CLI so that it will automatically grant execution (or other) permissions based on something that I can set during the upload or afterwards on the uploaded file.
Thanks,