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LEARNING PATH: AWS: Serverless Applications with AWS Lambda
Rating: 4.2 out of 5(5 ratings)
87 students

LEARNING PATH: AWS: Serverless Applications with AWS Lambda

Learn how to build, manage, and deploy scalable cloud services with AWS Lambda
Created byPackt Publishing
Last updated 3/2018
English

What you'll learn

  • Build web applications with Amazon Lambda and Node .js
  • Design and implement serverless application architectures with Amazon Lambda, API Gateway Service, DynamoDB, S3, and CloudFront
  • Leverage the serverless framework to build complex applications
  • Learn to program, deploy, and test Lambda functions with Node .js, Java, Python, and C#
  • Learn to build and deploy applications AWS Lambda
  • Discover the hype, significance, and business benefits of serverless computing and applications
  • Know how to design and deploy considerations for AWS Lambda
  • Explore the AWS Lambda function

Course content

2 sections • 52 lectures • 5h 9m total length

  • The Course Overview3:36

    This video provides an overview of the entire course.

  • Installation and Setup7:52

    This video will help you in creating and setting up AWS account.

  • Introduction to AWS6:58

    Learn about AWS usage and pricing models.

  • AWS Management Console Walkthrough3:20

    We are going to explore the AWS Management Console.

  • AWS Lambda4:52

    Create a simple Lambda function from a blueprint on the AWS Management Console.

  • AWS API Gateway4:54

    Learn how to create a REST API and how to connect your API to a Lambda function.

  • The Serverless Framework3:47

    We install the serverless framework and try out the command-line interface (CLI).

  • Creating a Serverless Project7:59

    Learn how to create a project with the serverless framework.

  • Programming a Lambda Function with Node.js5:14

    We are going to write a Lambda function handler using Node.js and learn about the event, context, and callback objects.

  • Testing and Debugging Lambda Functions8:12

    Learn different techniques and tools for testing and debugging your Lambda function handler code and API.

  • Building a Stateless Serverless Web Application Backend13:59

    Learn how to build a simple web application using the serverless framework and Node.js.

  • Stateful Serverless Backend with DynamoDB21:38

    We want to make our web application stateful. Therefore, we need a database. We use AWS DynamoDB to build a stateful serverless backend.

  • Creating a Web Client5:24

    How to create a web frontend for your serverless application? In this section, we generate a JavaScript SDK and add it to an HTML page.

  • Deploying a Serverless Frontend on CloudFront6:01

    How do you deploy the frontend? In the first step, we deploy the frontend on S3. Then, we deploy the S3 bucket on CloudFront edge locations for improved performance in different geographic regions.

  • Getting Started with Eclipse and the AWS Eclipse Plugin8:04

    We will explore the AWS Toolkit for Eclipse and use it to create a boilerplate Java Lambda function.

  • Deploying and Testing AWS Lambda Functions6:43

    We are going to deploy and run a Lambda function from Eclipse. Then we will review the function on the AWS Management Console.

  • Lambda Function with S3 Event Input7:47

    We create and test a Lambda function that can be triggered through an S3 event.

  • Creating a Simple Serverless Java Application17:38

    We are going to create a serverless Java project in Eclipse and deploy it to AWS. The project consists of two Lambda functions that use DynamoDB and S3 for data storage and retrieval.

  • Creating a Python Lambda Function10:17

    We will create our first Python Lambda function from a blueprint in the AWS Management Console. 

  • Using the Serverless Framework with Python4:59

    We will use the serverless framework to create a Python function from a template.

  • Building a Serverless Backend with Python13:37

    We will create a simple CRUD web application with Lambda, API Gateway, and DyanmoDB—using the serverless framework and Python.

  • Creating a C# Lambda Function with .NET Core9:54

    We will explore the AWS Toolkit for Visual Studio and use it to create a boilerplate C# Lambda function.

  • Creating a C# Serverless Project with .NET Core8:35

    We will use the AWS Toolkit for Visual Studio to create a Serverless Project with C# Lambda functions.

  • Test your knowledge

Requirements

  • No prior knowledge of AWS is required
  • Familiarity with Java, Python, Node .js, and C# will be helpful

Description

Amazon Web Services continues its domination as the leading cloud service provider on the market. Amazon Lambda is the part of Amazon Web Services that lets you run your code without provisioning or managing servers. Amazon Lambda is a compute service that enables you to deploy applications and back-end services that operate with zero upfront cost and require no system administration. So, if you're an IT architect or a developer who wants to build scalable systems and deploy serverless applications with AWS Lambda, then go for this Learning Path.

Packt’s Video Learning Path is a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.

The highlights of this Learning Path are:

  • Learn to write, run, and deploy Lambda functions in the AWS cloud
  • Explore the best practices to effectively monitor and troubleshoot serverless applications using AWS CloudFront

Let's take a quick look at your learning journey. This Learning Path starts off with covering the basics of AWS Lambda. You will then learn to build a serverless application wherein you will create a web client, a serverless backend with DynamoDB, and deploy the serverless frontend on CloudFront. You will also be glanced through Eclipse and the AWS Eclipse plugin. Next, you will learn to create and deploy AWS Lambda functions with Java, Python, and C#. You will then learn to build a simple serverless application in Java, a serverless backend with Python, and a serverless project with .NET Core. Moving ahead, you will explore the architecture and components of AWS Lambda. You will learn to integrate AWS Lambda with Simple Storage Service (S3) and DynamoDB. Finally, you will discover how to design and deploy considerations for AWS Lambda.

By the end of this Learning Path, you will make the most of AWS Lambda functions to design, build scalable  and cost-efficient systems and deploy serverless applications with AWS Lambda.

Meet Your Expert(s):

We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:

  • Markus Klems is an expert in software development and system administration for scalable, high-availability and high-performance software systems, such as big data, mobile, web application, and Software-as-a-Service systems. In the context of his research and development work at TU Berlin and Karlsruhe Institute of Technology (KIT), he has gained in-depth knowledge and experience with complex and large-scale IT systems. He has been working with Amazon Web Services (AWS) since 2008 and is particularly excited about emerging technology trends in the realms of serverless computing and serverless microservice architectures.
  • Alan Rodrigues is a software technology evangelist with over 10+ years of experience in the software industry. Being abreast with the latest technologies is what he does best. One life is just not enough to intake all the information the world has to offer, but he does his bit and takes it one step at a time. These are just a few of the technologies he is well-versed in:
  1.        Cloud Services - Amazon Web Services. Certified in AWS as a SysOps Administrator. Well-versed in Azure Web Services as well.
  2.        Business Intelligence – SAP Business Objects, Informatica Powercenter.
  3.        Atlassian suite of products (JIRA, JIRA Agile, JIRA service desk, Confluence, Bitbucket, Hipchat)
  4.        Configuration, Continuous Integration - Subversion, Git, Jenkins, Atlassian Bamboo.
  5.        Operating Systems - Windows server 2003, 2008 & 2012, Windows 7, 10, Ubuntu, CentOS.
  6.        Databases - Oracle, MySQL, MongoDB, Microsoft SQL Server.
  7.        Change and Release Management – HPSM, HP uCMDB, Atlassian Service Desk.

Who this course is for:

  • This Learning Path is for IT architects, developers, and cloud administrators who want to design, build, and deploy scalable systems with AWS Lambda.

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