Serverless-Workshop | Serverless Workshop | Serverless library

by we45 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | Serverless-Workshop Summary

Serverless-Workshop is a Python library typically used in Serverless applications. Serverless-Workshop has no bugs, it has no vulnerabilities and it has low support. However Serverless-Workshop build file is not available. You can download it from GitHub.

Serverless-Workshop

Support

Quality

Security

License

Reuse

Support

Serverless-Workshop has a low active ecosystem.

It has 13 star(s) with 6 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Serverless-Workshop has no issues reported. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Serverless-Workshop is current.

Quality

Serverless-Workshop has no bugs reported.

Security

Serverless-Workshop has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Serverless-Workshop does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Serverless-Workshop releases are not available. You will need to build from source code and install.

Serverless-Workshop has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Serverless-Workshop and discovered the below as its top functions. This is intended to give you an instant insight into Serverless-Workshop implemented functionality, and help decide if they suit your requirements.

Login to JWT
Get SSM parameter

Get all kandi verified functions for this library.

Serverless-Workshop Key Features

No Key Features are available at this moment for Serverless-Workshop.

Serverless-Workshop Examples and Code Snippets

No Code Snippets are available at this moment for Serverless-Workshop.

Community Discussions

Trending Discussions on Serverless-Workshop

I get error when i run My function in Logic App Designer , following the azure sample project documentation

Error in deploying SAM script from AWS Educate account Cloud9 console

QUESTION

I get error when i run My function in Logic App Designer , following the azure sample project documentation

Asked 2020-Oct-21 at 02:18

I am new to azure and i found one interesting project that i want to implement. Here is the guthub link: https://github.com/Azure-Samples/azure-serverless-workshop-team-assistant/blob/master/6-scheduler-bot/README.md

I did all the steps, but when i run my function in Logic App Designer i get the following error:

...

ANSWER

Answered 2020-Oct-20 at 12:58

Reading through the Article you have referenced, the people will be the part of the body of the request.

Sample Body : (as per the article)

Source https://stackoverflow.com/questions/64445314

QUESTION

Error in deploying SAM script from AWS Educate account Cloud9 console

Asked 2020-Jul-11 at 12:01

I am new to using AWS and Serverless Application Model (SAM). While following the GitHub of one of the recent AWS Virtual Workshop, I am facing problem in SAM deployment.

In particular, while following the module 1, these are the steps they provide (All these steps are performed from Cloud9 terminal):

Find the Account Id.
accountId=$(curl -s http://169.254.169.254/latest/dynamic/instance-identity/document | jq -r .accountId)
Name the S3 bucket appending the Account Id
s3_deploy_bucket="theme-park-sam-deploys-${accountId}"
Create the s3 bucket with that name.
aws s3 mb s3://$s3_deploy_bucket
Go to the appropriate directory with SAM YAML file.
Package
sam package --output-template-file packaged.yaml --s3-bucket $s3_deploy_bucket
Deploy
sam deploy --template-file packaged.yaml --stack-name theme-park-ride-times --capabilities CAPABILITY_IAM

All the steps work well until step 5. On executing step 6, after the successful creation of a few resources, I am facing an error on a particular creation and it fails. This results in a rollback and all created resources are also deleted.

ResourceStatus: CREATE_FAILED

ResourceType: AWS::Events::Rule

LogicalResourceId': UpdateRidesUpdateRidesEvent

ResourceStatusReason: User: arn:aws:sts::969009900039:assumed-role/vocstartsoft/user810955=ameya.181co205@nitk.edu.in is not authorized to perform: events:PutRule on resource:arn:aws:events:us-east-1:969009900039:rule/theme-park-ride-times-UpdateRidesUpdateRidesEvent-1C6BYBO984UL7 with an explicit deny (Service: AmazonCloudWatchEvents; Status Code: 400; Error Code: AccessDeniedException; Request ID: c6d8162d-a3f1-405f-b6e8-2fd5437c4392)

Please let me the solution to this problem. Thanks in Advance.

...

ANSWER

Answered 2020-Jul-11 at 12:01

Since you are using AWS Educate Starter Account, you have a lot of limitations imposed on what you can and can't do in your sandbox account.

The general list of what is allowed is:

AWS Services Supported with AWS Educate Starter Account

Also note that this is not exhaustive list:

Some services may have additional restrictions as described in the table below.

The error message you got is an explicit deny. This means that you aren't allowed to do what you are attempting due to limitations of the starter account.

An alternative to using the start account, is using having your account (an option only for educators on AWS Educate). This way, if you are educator, AWS Educate could provide you credits towards your classes. But since you use your own account, you would have full control over it.

If the error you are facing is part of a classroom or tutorial they provide, you may contact their customer support. If this deny prohibits you from completing their own tutorials or classrooms, they should be able to fix that.

Source https://stackoverflow.com/questions/62847986

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Serverless-Workshop

You can download it from GitHub.
You can use Serverless-Workshop 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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