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#Npm serverless update function how to
#Npm serverless update function install
#Npm serverless update function upgrade

There is no mechanism like cron, scheduled job.

It is impossible to configure environment variable like AWS.

SLA is not guaranteed because it is in beta test.

If you want to know more detail, please see. nvmrcĬreate a project: serverless create -template google-nodejs -path gcf-nodejsĬonfirmation # Confirm your code by function Node version is 6.14.0, so please be careful. 😸 Google Cloud function with Node.js Supported Node.js version If it becomes better, it is a good option for GraphQL server.

There are some problems in GCF and serverless.

I think that serverless is useful in only AWS lambda.

I thought that it was easy for using Google Cloud Function to manage credential on GCP, I tried a little, but it was buggy.

Cron (CloudWatch Events) needs just a line to YAML, there are a lot of useful configurations.

A deploy command ( serverless deploy) is simple and useful to create the required IAM, set up CloudWatch logs, set up S3 for deployment, deploy, etc.

My impression for serverless is as follows: If you want to know more detail, please see 🗽 Impression If you want to know more detail, please see Cron(Scheduled job) configurationĮnable to configure cron/scheduled job. Please configure including/excluding a file or a folder.

Timeout: 10 # optional, in seconds, default is 6 MemorySize: 128 # optional, in MB, default is 1024 You can configure memory size and timeout for function in AWS lambda: # 🏈 Configuration (serverless.yml) Memory Size, Timeout, etc in AWS lambda

#Npm serverless update function install

Pip install requests -t /app/lib/requests

If you want to use library, please install pip libraries as follows: # In docker # Check the event documentation for detailsĮnable to confirm your devloping function on local # Call the functionĪfter development, you can deploy your code by one command: sls deploy -vĮnable to confirm your devloping function on local or you can call your API by curl: # Call the function ( diff -no-index -unified=1 serverless.yml): -25,3 +25,3 provider: Modify serverless.yml configuration file: 🐰 Create lambda function with Pytnon3 templateĬreate new service: # Create service with Python 3.x 🐹 Set AWS Access key sls config credentials -provider aws -key $AWS_ACCESS_KEY_ID -secret $AWS_SECRET_ACCESS_KEY 😎 Start the image for dev docker-compose up -d Please add your AWS Access information and do not commit the. env.docker: aws_access_key_id=YOUR_ACCESS_KEY_IDĪws_secret_access_key=YOUR_SECRET_ACCESS_KEY

#Npm serverless update function upgrade

RUN apt-get update -y & apt-get upgrade -yĪlso, create docker-compose.yml: version: '3.5'Īfter then, create. If you want to develop a function with Python, it is better to use Dockerfile, because it is easy to use pip library in lambda.Ĭreate Dockerfile for development: FROM python: 3.6

🎂 Installation yarn global add serverless

#Npm serverless update function how to

In this article, I would like to introduce how to build basic lambda API by Node.js/Python with Docker. Serverless is toolkit for deploying and operating serverless framework due to focus your application.