Serverless Application Development using AWS and Python

Ritu Mehra (~ritu86)


6

Votes

Description:

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.

Note: In this workshop all the implementation will be done using PYTHON

Session Takeaways:

How to use different features of AWS to create your Serverless Application.

  • What is Serverless Computing and how "Functions as a Service" is a revolutionary way to develop applications.
  • Understand AWS Lambda Functions, the FaaS offering on Amazon Web Services.
  • Understanding of the AWS services - Lambda, S3, EC2, CloudWatch, API Gateway, RDS, IAM
  • How to access the AWS services using Python libraries in the Lambda Function.
  • Hands On Cloud Native Web Applications Development using AWS Lambda and other offering.
  • Practical examples of how you can combine multiple services and events in AWS and develop applications rapidly using AWS Lambda Functions

Prerequisites:

Python:

Content URLs:

Will share the Slides post my Talk through a proper channel.

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: Web development
Type: Workshops
Target Audience: Intermediate
Last Updated: