How to use serverless for deploying code to AWS?

Suthar Prashant
Sep 2, 2019 · 2 min read

Serverless is a very useful tool for deploying your code to AWS. It automatically deploys your code to AWS. You just need to configure it properly for correct flow.

First to use serverless need to configure AWS. I have shown my blog. Please do the steps first. Please follow the below link for more info.

Firstly, we need to install the serverless to tour machine.

Prerequisite: NPM

npm install -g serverless

By entering this command node will install the serverless globally to your machine. Once it is installed please check by entering the following command.


If it installed properly it will warn you that no current project showing for serverless.

After a successful installation, we need to make the serverless.yml file.

Here you can define your own rules. Here you can create the lambdas, s3 buckets any AWS service which supports the AWS cloud formation.

# This is your service name.
: test-service

name: aws
runtime: python3.7

# you can overwrite defaults here
stage: ${opt:stage,'dev'}
region: ${opt:region, 'us-east-2'}
timeout: 120
memorySize: 2014

# you can add statements to the Lambda function's IAM Role here
- Effect: 'Allow'
- 's3:PutObject'
- 's3:GetObject'
- 'ses:SendEmail'
- 'ses:SendRawEmail'
- 'sqs:SendMessage'
- 'sqs:GetQueueUrl'
Resource: '*'

- serverless-python-requirements

dockerizePip: true
# This is how we can create lambda for perticular trigger. functions:
handler: lamdas/test/test_lambda
description: Test lambda
timeout: 300
- schedule:
rate: rate(2 minutes)
enabled: true
# This is how we can create the s3 bucketresources:
Type: AWS::S3::Bucket
BucketName: test-bucket

As shown above, it is your serverless.yml file. Here we have created the s3 bucket and lambda. serverless will automatically create the bucket in s3 and upload your code to s3. Here you can call your code using the lambdas.

After creating this file you can start deploying your code to AWS by following the below command.

serverless deploy -v

Here it starts deploying your code to AWS. It can take a while around 30 to 45 mins. As it is creating the dockers and upload your code it will take time after first time deploying your code in the second time it will not take much time.

In some cases, if your zip if above 10 MB it will fail to deploy your code. So, try to minimize your file size as low as possible.

Now after successful deployment, you can call your lambda directly by just the following code.

sls invoke -f testlambda -l

Here we have invoked our lambda function.

Bingo, we have deployed our code to AWS successfully.

Suthar Prashant

Written by

Pythonista | Data Science | Django | Flask

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