How to find out the S3 link of an AMI - amazon-web-services

I have created an AWS AMI that I want to download to my local machine. I understand that AMIs are stored in S3, and that I can use the ec2-download-bundle command from the AMI cli to download it, but I want to know how to find out which S3 bucket my AMI is in.
Any suggestions?

The AMI's are stored in your account and you pay AMI's storage cost but they aren't really stored in any of your account's s3 bucket. so you can't have specific s3 location to findout these AMI's.

Related

How to un-tar a file in s3 without passing through local machine

I have a huge tar file in an s3 bucket that I want to decompress while remaining in the bucket. I do not have enough space on my local machine to download the tar file and upload it back to the s3 bucket. Whats the best way to do this?
Amazon S3 does not have in-built functionality to manipulate files (such as compressing/decompressing).
I would recommend:
Launch an Amazon EC2 instance in the same region as the bucket
Login to the EC2 instance
Download the file from S3 using the AWS CLI
Untar the file
Upload desired files back to S3 using the AWS CLI
Amazon EC2 instances are charged per-second, so choose a small machine (eg t3a.micro) and it will be rather low-cost (perhaps under 1 cent).

Extracting an AMI from AWS to local

I am trying to extract an AWS AMI onto my local to have it as a disaster backup. I know we can save it into S3 and restore it, however my goal is to take it out of AWS and save it elsewhere.
Your thoughts are much appreciated!
Thank you :)
As Mark said above, In order to export the AMI to your local, you need to first transfer the AMI to an S3 bucket and then can download it using AWS Cli.
Complete steps/pre-requisite/considerations are available on the below link:
Export AWS AMI
You would export it to S3 first. Then you can very easily download the file from S3.

Copy AWS Snapshot to S3 bucket using python lambda

I am looking to build a lambda function as part of a forensics workflow that will copy a particular EBS snapshot to a manually created S3 bucket in order to store for short/long term forensics requirements. Looking for any pointers!
The copy_snapshot option is not helpful here. It copies an EBS snapshot to an AWS-controlled S3 bucket (in a different region). It's not to an S3 bucket under your control and you have no direct access to it.
If you genuinely want to export an EBS snapshot to your own S3 bucket, or even to some storage device external to AWS, then you need to do it manually.
One way is as follows (some details are thanks to this serverfault answer):
launch an EC2 instance
create an EBS volume from your EBS snapshot
attach, but do not mount, the EBS volume to your instance
export the data (to S3 or elsewhere) using a tool such as dd
There may be tools available that actually implement this series of steps for you, though I was not able to locate any with a quick search.

How to store AMI file to S3 bucket?

I am having an Ubuntu ec2 instance at AWS. I took AMI for the instance.
I want to store the AMI to S3 bucket. Is there any way? Also is there anyway to export AMI from S3 bucket?
Update: This feature is now available
From Store and restore an AMI using S3 - Amazon Elastic Compute Cloud:
You can store an Amazon Machine Image (AMI) in an Amazon S3 bucket, copy the AMI to another S3 bucket, and then restore it from the S3 bucket. By storing and restoring an AMI using S3 buckets, you can copy AMIs from one AWS partition to another, for example, from the main commercial partition to the AWS GovCloud (US) partition. You can also make archival copies of AMIs by storing them in an S3 bucket.
--- Old Answer ---
It is not possible to export an AMI.
An Amazon Machine Image (AMI) is a copy of an Elastic Block Store (EBS) volume. The AMI is stored in Amazon S3, but it is not accessible via the S3 service. Think of it as being stored in AWS's own S3 bucket, rather than yours.
If you wish to export a disk image, use a standard disk utility to copy the disk to ISO format, which can then be copied and mounted on other VMs.
Thank you John.
Hi Guys, I had chat with AWS support also. For your reference ,
10:15:45 AM Myself: Well i have some doubts. I will ask and just clear in me on that.
10:15:49 AM AWS support: Sure
10:15:59 AM AWS support: I'll be happy to do so
10:16:25 AM Myself: Is there any option to sore AMI in S3 bucket.
10:16:46 AM AWS support: No, this is not possible
10:17:05 AM AWS support: AMI data is a simple configuration file
10:17:11 AM AWS support: This is backed by S3
10:17:18 AM AWS support: But not stored in an S3 bucket
10:17:27 AM AWS support: The exact same is true for Snapshots
10:17:45 AM AWS support: It is stored and backed by S3- but not something that can be placed in one of your buckets
10:17:59 AM Myself: is it possible to view that in s3?
10:18:51 AM AWS support: No, this is not something that is visible in S3, I am sorry to say
10:19:57 AM Myself: OK. I need to download the AMI . what can i do?
10:20:19 AM AWS support: AMI data is not something that is downloadable
10:20:35 AM AWS support: Are you seeking to Download your whole instance?
10:20:46 AM AWS support: Or download a complete volume?
10:21:07 AM AWS support: If you originally imported your instance from a VM, you can Export the VM 10:21:29 AM AWS support: But its an EC2 instance that was created in EC2, you can not- I am really sorry to say
10:22:02 AM Myself: Okay fine.
I ran into the same problem and to my delight, AWS has since innovated something about this.
You can store and restore your AMI in S3 now.
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ami-store-restore.html#store-ami
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UPDATE:
the version of AWS CLI is matter

How to download a file from s3 using an EC2 instance?

I have an AMI image in which will be used for autoscaling, every EC2 instance that initiated from the AMI image,suppose to download some files from a s3 bucket, (They are all in the same VPC) the s3 suppose to be private(Not open to public).
How does this can be done?
There are lots of ways. You could use the AWS CLI (S3 Command) or you could use the SDK for the language of your choice. You will also probably want to use IAM to establish the credentials for accessing the resources. The CLI is probably the quickest way to get up and running.