serveless Two years ago I shared my experience on building the AWS Lambda function for a python project of my own. And a few days ago I stumbled upon a nice opensource CLI tool that I immediately wanted to transform in a web service.

Naturally, a simple, single-purpose tool is a perfect candidate for function-as-a-service (FaaS), and since I had past experience with AWS Lambda, this time I decided to meet its Google’s sibling - Google Cloud Function.

In this post we’ll discover how to take a python package with 3rd party dependencies, make a GCP Function from it and deploy it without a single click in the UI - all without leaving the IDE.

[Project’s source code]

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Cloud-native revolution pointed out the fact that the microservice is the new building block and your best friends now are Containers, AWS, GCE, Openshift, Kubernetes, you-name-it. But suddenly micro became not that granular enough and people started talking about serverless functions!

Brian Christner, Docker & Serverless: Brian Christner, Docker & Serverless:

When I decided to step in the serverless property I chose AWS Lambda as my instrument of choice. As for experimental subject, I picked up one of my existing projects - a script that tracks new documentation releases for Nokia IP/SDN products (which I aggregate at

Given that not so many posts are going deeper than onboarding a simplest function, I decided to write down the key pieces I needed to uncover to push a real code to the Lambda.

Buckle up, our agenda is fascinating:

  • testing basic Lambda onboarding process powered by Serverless framework
  • accessing files in AWS S3 from within our Lambda with boto3 package and custom AWS IAM role
  • packaging non-standard python modules for our Lambda
  • exploring ways to provision shared code for Lambdas
  • and using path variables to branch out the code in Lambda

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Roman Dodin

Eagerness to learn & passion to share

Netdevops @ Nuage Networks