Deploying your first serverless program in less than 10 minutes

Serverless computing is a cloud computing execution model in which the cloud provider dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre-purchased units of capacity There are several use cases where Serverless Computing adds the advantage in terms of time to delivery and operational costs. Amazon AWS Lambda, Google Cloud Functions are the popular provides in the market today.

Choosing the cloud provider is upto you, for example if you are already in AWS ecosystem and using services like DynamoDB/ EC2 / Pub Sub then if make sense to use AWS Lambda. In this post i am using Google Cloud Functions to write my Hello World Serverless program.

gcloud is command-line interface tool which makes your life easy for creating/ updating/ deploying the Google Cloud services like AppEngine/ Datastore/ Cloud Functions etc,

Now login to your Google Cloud account by typing command gcloud auth login this will take you to the browser where you can login with your Google Cloud account.

Once the Oauth process done, type the command gcloud init this will take you through the process to create and setup your Google Cloud Project. It looks something like below

Currently Google Cloud Functions are in beta and supports javascript + NodeJS platform only. So in this post we are going to create a nodeJS function and deploy it into Google Cloud Functions. First create a folder and do npm init there (You can leave all npm defaults)

Now create a file index.js and put your first function

Into the index.js file add the following content

You are now ready with your cloud function, The only thing the above function doing is sending Hello World text in response.

You need to create a cloud storage bucket before deploying your first cloud function. You can do it by running the following command

Note: This is one time task, you can reuse the same bucket for uploading multiple functions. Now the last step for us to do is deploying our function to Google Cloud Functions. By running the following command you can deploy your function to Google Cloud Functions

This will deploy your local function into Google Cloud Functions, on a successful deployment you will see logs some thing like following

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