Architect and develop a complete search platform using the Serverless framework and AWS technologies
7 sections • 29 lectures • 2h 43m total length
Installation & Configuration
A brief Introduction
Generate the project
Caution: Node.js version
First Lambda Function
Understanding how Lambda Functions execute
Lambda Function to Push to Kinesis
Kinesis Streams: A Introduction
Understanding the data further
Pushing data to kinesis continued
Write a Kinesis Consumer
Pushing data to Algolia
Working with Algolia
break and feedback :)
API Function I
API Function II
Where are the serverless functions hosted ?
API Function III
Meeting the KPI's
Knowledge of AWS LAMBDA
IN THIS COURSE I'LL WALK YOU THROUGH A SOLUTION CREATED USING AWS LAMBDA & KINESIS.
THIS IS NOT A TUTORIAL ON AWS LAMBDA OR KINESIS.
Welcome to another course in the code along series. You are probably here because you may have heard a lot of buzz around server less technologies and specifically AWS lambdas and Kinesis. You probably know that this is code that runs without servers (i.e without you having to provision servers) but are not sure exactly where and how to use them.
In this course we will use these technologies to solve a real-industry problem.
We use the following technologies to arrive at our solution:
The Serverless Framework
ALGOLIA SEARCH DATABASE.
THIS IS NOT A THEORY COURSE. THIS COURSE IS ALL ABOUT IMPLEMENTATION :)
AND HERE IS THE GOOD NEWS. As we dive into the implementation, i will explain every single line of code, every single decision we make and how we arrive at solving out problem.
It will not matter that you do not know anything about these technologies. You will be able to follow along with ease.
By the end of this course you will be better off that those folks who simply watch fundamentals course because you will have implemented an end-to-end architecture.
I hope you enjoy following this course as much as I enjoyed developing it.