Klayers | Python Packages as AWS Lambda Layers | Cloud Functions library
kandi X-RAY | Klayers Summary
kandi X-RAY | Klayers Summary
Python Packages as AWS Lambda Layers
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Top functions reviewed by kandi - BETA
- Add requirements to the bundle
- Return the PK and PK for the latest build
- Check to see if all of the regions to deploy
- Modify data from a backup file
- Writes an error to a JSON file
- Map a dictionary of key - value pairs
- Removes an existing CloudWatch Layer record
- Insert the deleted layer in the table
- Process a GitHub event
- Verify a signature
- Freeze requirements txt
- Check the requirements of a given package
- Download files from S3
- Return the latest version of a pypi package
- Upload package to S3
- Install a python package
- Delete a directory
- Load configuration from GitHub
- Download the latest config from GitHub
- Return list of AWS regions
- Return the requirements file for a given package
- Export DynamoDB table to S3
- Download an artifact from S3
- Notify pipeline error
- Send Slack notification to GitHub
- Notify about a Pipeline error
Klayers Key Features
Klayers Examples and Code Snippets
{my function} > Layers > Add a layer > Provide a layer version ARN
arn:aws:lambda:us-east-1:552188055668:layer:geolambda:4
mkdir -p layer/python
pip install {package_list} -t layer/python
cd layer
zip -r aws-layer.zip python
Community Discussions
Trending Discussions on Klayers
QUESTION
I deploy my AWS Lambdas via AWS Serverless Application Model (SAM). One of my Lambdas uses Numpy which I reference via a 3rd party layer from Klayers by @keithRozario. I was using Klayers-python38-numpy:16 but discovered that it was deprecated after I deployed today which left my stack in an UPDATE_ROLLBACK_FAILED state.
One recommendation is to use Stack actions -> Continue update rollback
from the AWS console; which I tried but it didn't work. The other solution is to delete the stack. However, this would be my first time deleting a stack and what I'd like to know is: if I delete my stack via the console, will my stack get recreated when I redeploy it? I've looked for answers to my question but I'm only finding references to deleting resources within the stack.
What I'd also like to know is, my stack is the first stack of many in an AWS CodePipeline, will my pipeline still work if I delete my stack? Further, will I experience anymore failed stacks as I proceed to subsequent stacks within my pipeline?
Lastly, the plan is to update to Klayers-python38-numpy:19 when I redeploy.
EDIT: as per @marcin
The problem is that the Klayers-python38-numpy:16, that is already deployed throughout my stack, is no longer available. I tried deploying a change to my code this morning, my pipeline failed during the CreateChangeSet
step. The fact that this layer is no longer available is, I'm assuming, the reason my stack is unable to rollback.
My pipeline looks like this:
...ANSWER
Answered 2021-Jul-27 at 21:02if I delete my stack via the console, will my stack get recreated when I redeploy it?
Yes. You can try to deploy same stack again, but probably you should investigate why it failed in the first place.
What I'd also like to know is, my stack is the first stack of many in an AWS CodePipeline, will my pipeline still work if I delete my stack?
Don't know, but probably not. Its use case specific and you haven't provide any info about the CP.
Further, will I experience anymore failed stacks as I proceed to subsequent stacks within my pipeline?
If one action fails, you can't proceed with further actions. Even if you could, other stacks can depend on the first one, and they will fail as well.
QUESTION
I have this cloudformation template and it works as expected. It will add 1 record to elasticsearch index. But I am not sure if the Role is defined correctly. I need to set the minimum permissions for this function.
...ANSWER
Answered 2020-Oct-18 at 20:16Yes, the permissions in the role match those from standard AWSLambdaBasicExecutionRole.
However, your role will not work, as it has incorrect resource. Instead of:
QUESTION
I want to download the public arn for a more compact version of spacy from this GitHub repository.
...ANSWER
Answered 2020-Jun-27 at 17:32You can get it from a Arn using the get-layer-version-by-arn function in the CLI.
You can run the below command to get the source of the Lambda layer you requested.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Klayers
You can use Klayers like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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