Serverless computation can simplify the process of deploying code for output. Scaling, capacity planning and maintenance operations can be concealed from the developer or operator.
You’ll learn Serverless Computing from scratch using lambda. We’ll dive into it from scratch, and then dive into all its core features and into many advanced features as well.
In this course, we’ll be building on serverless fundamentals and explore AWS services to build a basic application and deploying it without any VMs or servers to maintain. Accessing Lambda Logs, Handling S3 Events using Aws lambda, Connecting Lambda Functions to API Gateway Endpoints and test. Further, Canary deployment in API gateway, Write Data in DynamoDB table using Aws lambda, Trigger s3 event to store data into the DynamoDB, Revert Security Group changes using Lambda, adding lambda authorizer to API gateway, Setting up a CloudFront CDN, Creating and configuring Kinesis Stream Event in AWS Lambda and processing Kinesis Streaming Data with AWS Lambda and Generating the Streaming Data for Kinesis Stream.
Knowledge of AWS fundamentals are expected prior to this course, as we’ll be more hands-on and see it work firsthand. Some of the AWS services we’ll work on during this course are:
‒ IAM
‒ Lambda
‒ S3
‒ API gateway
‒ CloudFront
‒ DynamoDB
‒ Kinesis
Learn About Amazon’s Serverless Platform With AWS Labmda And AWS Aurora. Implement Multi-Tier Cloud Native Apps
4.3
★★★★★ 4.3/5
2,337 students
