Serverless-Architectures-with-AWS

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

Serverless-Architectures-with-AWS

★ 12 Open GitHub ↗

Discover how you can migrate from traditional deployments to serverless architectures with AWS

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

[![GitHub issues](https://img.shields.io/github/issues/TrainingByPackt/Serverless-Architectures-with-AWS.svg)](https://github.com/TrainingByPackt/Serverless-Architectures-with-AWS/issues)
[![GitHub forks](https://img.shields.io/github/forks/TrainingByPackt/Serverless-Architectures-with-AWS.svg)](https://github.com/TrainingByPackt/Serverless-Architectures-with-AWS/network)
[![GitHub stars](https://img.shields.io/github/stars/TrainingByPackt/Serverless-Architectures-with-AWS.svg)](https://github.com/TrainingByPackt/Serverless-Architectures-with-AWS/stargazers)
[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/TrainingByPackt/Serverless-Architectures-with-AWS/pulls)

# Serverless Architectures with AWS
Serverless Architectures with AWS begins with an introduction to the serverless model and helps you get started with AWS and AWS Lambda. You'll also get to grips with other capabilities of the AWS Serverless Platform and see how AWS supports enterprise-grade serverless applications with and without Lambda.

This course will guide you through deploying your first serverless project and exploring the capabilities of Amazon Athena, an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) using standard SQL. You’ll also learn about AWS Glue, a fully managed extract, transfer, and load (ETL) service that makes categorizing data easy and cost-effective.

You'll study how Amazon Kinesis makes it possible to unleash the potential of real-time data insights and analytics with capabilities such as Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics. Last but not least, you'll be equipped to combine Amazon Kinesis capabilities with AWS Lambda to create lightweight serverless architectures.

By the end of the course, you will be ready to create and run your first serverless application that takes advantage of the high availability, security, performance, and scalability of AWS.

## What you will learn
* Explore AWS services for supporting a serverless environment
* Set up AWS services to make applications scalable and highly available
* Deploy a static website with a serverless architecture
* Build your first serverless web application
* Study the changes in a deployed serverless web application
* Apply best practices to ensure overall security, availability, and reliability

### Hardware requirements
For an optimal student experience, we recommend the following hardware configuration:
* **Processor**: 2.6 GHz or higher, preferably multi-core
* **Memory**: 4GB RAM
* **Hard disk**: 35GB or more
* An Internet connection

### Software requirements
You’ll also need the following software installed in advance:
* Operating System: Windows (8 or higher)
* AWS Free Tier account
* Network access on ports 22 and 80

Serverless-Architectures-with-AWS

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README