Comments (8)
Hello,
This error indicates that the CloudFormation stack creation is not succeeding (and all resources created are rolled back). Check the CloudFormation console events for the stack for clues as to why the stack creation is failing.
Thanks,
Moataz
from amazon-rekognition-video-analyzer.
When calling pynt createstack, I am encountering the same error.
Did anyone have solution for this problem?
Thanks in advance.
from amazon-rekognition-video-analyzer.
I have also getting same issue but posted separate. Please have a look and if any one can help pls help me.
from amazon-rekognition-video-analyzer.
Same issue here. Checked the cloudformation console and they say the below -
03:20:51 UTC+0000 | ROLLBACK_IN_PROGRESS | AWS::CloudFormation::Stack | video-stack-analyzer | The following resource(s) failed to create: [FrameS3Bucket, FrameStream, EnrichedFrameTable]. . Rollback requested by user. |
---|---|---|---|---|
03:20:50 UTC+0000 | CREATE_FAILED | AWS::Kinesis::Stream | FrameStream | |
03:20:50 UTC+0000 | CREATE_FAILED | AWS::DynamoDB::Table | EnrichedFrameTable |
Later when I try "pynt createstack" getting - "AlreadyExistsexception on command prompt"
then if I try "pynt deletestack" it is happening without any errors
from amazon-rekognition-video-analyzer.
Got access denied first, then I added an inline policy to cloudformation, then getting these errors.
from amazon-rekognition-video-analyzer.
getting these role exceptions now
from amazon-rekognition-video-analyzer.
Hi everyone,
I also received this error, but, I fixed it doing the following:
Firstly, as @moanany said, have a look at your CloudFormation console to check why it is failing. Click on the stack and you will get a log of what/when a resource began its creation and when/why it failed. Most likely, it will be due to not having the correct permissions.
You should create a policy and import the Amazon managed policies. It is recommended to only grant access at the most granular level as possible. However, if you don't care much about security, then just assign full permissions for a resource using a wildcard * or choosing the right managed policy.
Then go to your user (which you are using to run the demo app) and attach that policy you created. This will most likely be an iterative process where you run the 'pynt createstack' command and check what permissions you are missing.
Note: Everytime you run the command, a stack with that name will be created, but, if you receive errors, won't build correctly. Just simply delete the stack (either using 'pynt deletestack' command or by going to the AWS console and deleting it from there) and re-run the command. This way you will not receive any 'AlreadyExistsexception'.
I hope this helps and we can close this issue.
from amazon-rekognition-video-analyzer.
Hi,
I had created my own S3 bucket,then pynt deploy lambda had deployed.
I had only AmazoncloudFormation Readonly so i had added my own policy for complete acess.
Below are the policies added in Json Format.
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "VisualEditor0",
"Effect": "Allow",
"Action": [
"cloudformation:DetectStackResourceDrift",
"cloudformation:EstimateTemplateCost",
"cloudformation:SetStackPolicy",
"cloudformation:DetectStackDrift",
"cloudformation:CreateStack",
"cloudformation:UpdateStack",
"cloudformation:CreateChangeSet",
"cloudformation:ExecuteChangeSet",
"cloudformation:ValidateTemplate",
"cloudformation:DeleteStack",
"cloudformation:ListStacks",
"cloudformation:DescribeStackEvents",
"cloudformation:DescribeStackResource",
"cloudformation:CreateChangeSet",
"cloudformation:DescribeChangeSet",
"cloudformation:ExecuteChangeSet",
"cloudformation:ValidateTemplate"
],
"Resource": "*"
}
]
}
After doing Pynt createstack i am getting below error .
please help on this where i am missing
from amazon-rekognition-video-analyzer.
Related Issues (20)
- Error with build.py file HOT 2
- pynt create stack: HOT 4
- 'JobStatus': 'FAILED', 'StatusMessage': 'Unsupported codec/format.' HOT 1
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- Hey, I have a question...
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- 我的外包
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- Update example to use SigV4 S3 URLs
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from amazon-rekognition-video-analyzer.