I have an EC2 instance with a lot of configurations, and those configurations update day by day. I need to create an Image Builder pipeline to get AMI from those EC2.How can I do that?
Is this possible in the AWS Image Builder pipeline? If yes, can anyone provide relevant documents for that requirement?
I refer to several documents and videos. But that all involves using base images.
Related
I can't seem to find any info on the management of Workspace images. We basically need a way to manage/build images if all of our AWS accounts were to disappear one day, we should be able to deploy code that rebuilds them based on a source image managed by AWS.
we can't be remoting into workspaces in order to install software & create these images.
I am new to AWS SageMaker and i am using this technology for building and training the machine learning models. I have now developed a docker image which contains our custom code for tensorflow. I would like to upload this custom docker image to AWS SageMaker and make use of it.
I have searched various links but could not find proper information on how to upload our own custom docker image.
Can you please suggest me the recommended links regarding the process of uploading our own docker image to AWS SageMaker?
In order to work with sagemaker, you have to push your container to ECR. The most important thing is that the container must be "adapted" to be complaint to what sagemaker requires, but everything is described here. In addition if you want to take a look to an example, here is mine.. where I use my container with TF Object Detection API in AWS Sagemaker.
I have requirement of creating multiple instances of the same EC2 image from lambda as the EC2 image has some Windows Processing creating PDF files. Can I launch multiple instances of the same EC2 image and pass some parameters to each ec2 instance ( say name of the bucket in S3, and names are different).
Thanks in advance.
An AWS EC2 image provides essentially a snapshot of how the server should look.
This would include:
Any packages you need installed
Any configuration you need
If you want custom configuration applied on top you would need to either:
Make use of UserData when you launch the instance to run those additional actions
Create a custom AMI with the custom configuration included
I set up centos and windows VMs in Google Cloud which has many custom installations and configuration, with 1 boot disk and 4 data disks.
I am trying to create an image of both VMs. Only options I see in google cloud to create an image from disk, snapshot, another image, cloud file or virtual disk.
Looking for some way to create an image at VM level, which I can reuse to create new VMs something similar to custom ami in AWS or custom image in Azure.
The intention is if I create VM out of that image, my new VM will come up with all 5 disks. On GCP console, when I try to create an image, it has no option of using whole VM as a source instead, I can choose single disk as source.
Is there any way or workaround to achieve this in Google Cloud?
Thanks in advance.
I found GCP Instance Templates as a solution to my problem. I can reuse Instance Templates to deploy my custom VMs.
I want to move some VMs across projects on GCP using the Cloud SDK.
I'd like the process on a high level, and then possibly also some links out to the relevant docs, although I can RTFM when I know what the general high-level steps are.
I think what I want to do is
Create a snapshot
Save it somewhere
Create two Cloud SDK contexts?
Prepare a destination in the context for the new project
Copy the snapshots over to the new context and its associated storage
Rehydrate from the copied snapshot in the new project once everything is copied.
Please help. I'm new with this stuff and want to know whether this is really how it should be done.
Thanks!
You can use this guide
Quick summary of steps needed
Detach the boot disk from the VM that you intend to move by deselecting “Delete boot disk on instance delete” and terminating the VM
Create an image from the detached boot disk
Upload the image to Google Cloud Storage and share it with the new project
Create a custom image under the new project based on the image you uploaded to Google Cloud Storage
Create a new VM instance under the new project based on the custom image