AWS Lambda with Python : Do's and Dont's

Ritu Mehra (~ritu86)


2

Votes

Description:

Abstract:

Everyone will agree to the fact that - Serverless is the "In Thing" now a days . Be it AWS , GCP or Azure everyone is talking about it. AWS provides a series of services which can be used to create a full fledged application. Out of all "Lambda functions" is the backbone of Serverless Computing on AWS Cloud Computing. It is the “Functions As a Service” (FaaS) offering and currently it is positioned against Google Cloud Functions and Microsoft Azure Functions.

The Big Question:

"Is everything Perfect in AWS Lambda?" .... Well it depends on how you use it and this is what I will cover in my Talk.

Note: This Talk will have some code references using PYTHON

Outline:

  • What will you learn from this session/talk:

    • What are Lambda Functions .
    • What are the different features of Lambda Functions.
    • The famous Lambda Timeout.
    • The Deployment and Resource Limits .
    • The Cold Start issue and its workarounds.
    • The Cost Factor
  • Why do you need to know this:

    • Helps develop decision making in the project design architecture
  • The Case Study:

    • Case Study in which you should/should not use Lambda Functions.
  • Real Life project experience:

    • The hidden learning with an on job project on the limitations to Lambda Function.
  • Q&A

Prerequisites:

Python:

  • Basics of Serverless Computing
  • Basic of Python Programming
  • Basics of Python Libraries Usages (Imports)

Speaker Info:

  • Ritu Chawla Mehra is a working professional with over 10 years of development experience on C++ and Python.
  • She has application development experience in multiple domains - Mobile , ServerSide and Web Application.
  • Currently working as a Technical Lead in Xoriant Solutions Pvt. Ltd..
  • She is passionate about exploring new technologies and spreading awareness about the same. Her current focus is on AWS and Python :)
  • She was also a speaker at SciPy 2017 held at IIT Powai Mumbai.

Section: Others
Type: Talks
Target Audience: Intermediate
Last Updated:

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