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Serverless Computing with Azure Functions

  • Development
  • Nov 23, 2024
SynopsisServerless Computing with Azure Functions, available at $44.9...
Serverless Computing with Azure Functions  No.1

Serverless Computing with Azure Functions, available at $44.99, has an average rating of 3.85, with 95 lectures, based on 124 reviews, and has 1226 subscribers.

You will learn about Develop different event-based handlers supported by the serverless architecture from the Microsoft Cloud Platform: Azure. Integrate Azure Functions with different Azure Services to develop enterprise-level applications. Develop Azure Functions using Visual Studio along with regular development features. Set up the codebase and debug it on the local machine. Best practices for serverless technology and solution to the cold-start issue. Implementation of a scalable and highly available solution for the chatbot use case. This course is ideal for individuals who are Software Developers, Software architects, Technical Leads, Cloud administrator, architect, and those who would like to use Azure Functions to build scalable systems and deploy serverless applications. It is particularly useful for Software Developers, Software architects, Technical Leads, Cloud administrator, architect, and those who would like to use Azure Functions to build scalable systems and deploy serverless applications.

Enroll now: Serverless Computing with Azure Functions

Summary

Title: Serverless Computing with Azure Functions

Price: $44.99

Average Rating: 3.85

Number of Lectures: 95

Number of Published Lectures: 95

Number of Curriculum Items: 95

Number of Published Curriculum Objects: 95

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Develop different event-based handlers supported by the serverless architecture from the Microsoft Cloud Platform: Azure.
  • Integrate Azure Functions with different Azure Services to develop enterprise-level applications.
  • Develop Azure Functions using Visual Studio along with regular development features.
  • Set up the codebase and debug it on the local machine.
  • Best practices for serverless technology and solution to the cold-start issue.
  • Implementation of a scalable and highly available solution for the chatbot use case.
  • Who Should Attend

  • Software Developers, Software architects, Technical Leads, Cloud administrator, architect, and those who would like to use Azure Functions to build scalable systems and deploy serverless applications.
  • Target Audiences

  • Software Developers, Software architects, Technical Leads, Cloud administrator, architect, and those who would like to use Azure Functions to build scalable systems and deploy serverless applications.
  • This training program includes 4 complete courses, carefully chosen to give you the most comprehensive training possible.

    The first course, Getting Started with Azure Functions, covers serverless Architecture to Build Scalable Cloud System. This tutorial starts with the basics of Azure Functions and then shows you how to create functions such as WebHooks, Azure Connected, and event processing. Moving ahead, the video demonstrates how to develop, manage, deploy, and monitor your Azure functions in almost any language such as C#, F#, Node.js, Python, PHP, as well as scripting options such as Bash, Batch, and PowerShell. Next, you’ll see how to scale your functions and use them to process data, integrate systems, and build simple APIs and microservices. Finally, we’ll cover some diagnostic techniques with Azure App Services and the best practices of working with Azure Functions. By the end of this tutorial, you will be well-versed with the techniques of scaling your Azure Functions and making the most of the serverless architecture.

    The second course, Azure Functions – Essentials, covers getting started with the essentials of Azure Serverless Functions. The course starts with intermediate-level videos on cloud application development, along with configuring notifications using the SendGrid and Twilio services and the key features of Azure Functions. Then, you’ll delve into the core aspects of Azure Functions (such as the services it provides and how you can develop and write Azure functions) and explore continuous integration and continuous deployment with Visual Studio Team Services. By the end of this video, you will have all the skills required to work with serverless code architectures, thus providing continuous delivery to your users.

    The third course, Serverless Azure Functions: Debugging, Deployment, and Chatbots, covers discovering the Power of Serverless with Azure Functions, Queues and CosmosDB. Azure Functions provides great solutions for processing data, integrating systems, and building simple APIs to complex micro-services without having to worry about underlying infrastructure for scalability. This volume covers how a serverless application can be designed. By the end of the course, you’ll have mastered how Azure Functions can be a great tool to design highly scalable web services. You’ll also have created a production-level solution of a chatbot with serverless tools such as CosmosDB and Queues with a good understanding of why they were chosen and how they play an important role in the design of the serverless architecture.

    The fourth course, Azure Functions – Best Practices, covers building applications hosted on serverless architecture using Azure Functions.

    By the end of the course, you’ll build applications hosted on serverless architecture using Azure Functions as well as Deploy, Monitor, Debug and Design Scalable Solutions with Azure Serverless Computing.

    About the Authors :

    Paul Oliver is the Principal Software Architect at Vosaic. Vosaic helps its users unlock insights with the video for education and simulations. Vosaic is closely aligned with Hudl, which is the premier video platform for sports. Before taking on the role at Vosaic, he worked as a software developer and architect in the banking and criminal justice industries. Throughout his career, he’s been passionate about building well-architected software solutions with the security of primary importance. He’s architected several applications in the cloud using Microsoft Azure, Amazon Web Services, and Heroku. He received his BSc in Computer Engineering from the University of Nebraska-Lincoln and his Masters of Business Administration degree from Creighton University.

    Praveen Kumar Sreeram works as a Solution Architect at PennyWise Solutions (an Ogilvy and Mather Company). He has over 12 years’ experience in the field of development, analysis, design, and delivery of applications of various technologies, including custom web development using ASP.NET and MVC to building mobile apps using the cross-platform technology Xamarin for domains such as insurance, telecom, and wireless expense management. He has twice been recognized as a Most Valuable Professional by one of the leading social community websites, CSharpCorner, for his contributions toward writing articles and helping community members, mostly on Microsoft Azure. He is highly focused on learning about technology. He is an avid blogger who writes about his learning on his personal blog (praveenkumarsreeram/author/prawin2k/) and you can also follow him on Twitter at @PrawinSreeram. His current focus is on analyzing business problems and providing technical solutions for various projects related to Microsoft Azure and Sitecore.

    Omkar Dusane is a software developer based in Mumbai, India. He has designed and developed many software products for startups. He is a food enthusiast and a Node.js lover and was a senior Microsoft Student Partner who represented India at Microsoft Global Student Partner Summit in 2016. He is currently Product Engineer at Kennect Solutions Pvt. Ltd. Mumbai and is responsible for business execution and intelligence tools for various industries. He encourages serverless technologies and has an eye for scalability of new web technologies.

    Course Curriculum

    Chapter 1: Getting Started with Azure Functions

    Lecture 1: The Course Overview

    Lecture 2: What are Azure Functions?

    Lecture 3: Setting Up Your Azure Account

    Lecture 4: Writing Your First Azure Function

    Lecture 5: How Does Pricing Work?

    Lecture 6: JavaScript in Azure Functions with NodeJS

    Lecture 7: C# in Azure Functions

    Lecture 8: F# in Azure Functions

    Lecture 9: Python in Azure Functions

    Lecture 10: PHP in Azure Functions

    Lecture 11: Other Languages in Azure Functions

    Lecture 12: Introduction to Triggers and Bindings

    Lecture 13: Basic Triggers

    Lecture 14: Storage Triggers

    Lecture 15: Other Triggers and Bindings

    Lecture 16: Advanced Bindings

    Lecture 17: Choosing Between Flow, Logic Apps, Azure Functions, and WebJobs

    Lecture 18: Choosing a Hosting Plan

    Lecture 19: Best Practices for Azure Functions

    Lecture 20: Security Concerns

    Lecture 21: What is Serverless Architecture?

    Lecture 22: Why Serverless?

    Lecture 23: Serverless Considerations

    Lecture 24: Serverless Best Practices

    Lecture 25: Moving to a Serverless Architecture

    Lecture 26: C# Integration Tests

    Lecture 27: Using the Postman REST Client

    Lecture 28: Monitoring Your Azure Functions

    Lecture 29: Debugging Your Azure Functions

    Lecture 30: Using Azure Functions Core Tools

    Lecture 31: Using Git to Edit and Deploy Functions

    Lecture 32: Introduction to Azure Resource Manager

    Lecture 33: Using Azure Resource Manager with Function Apps

    Lecture 34: Putting it All Together for Continuous Delivery

    Chapter 2: Azure Functions – Essentials

    Lecture 1: The Course Overview

    Lecture 2: Building a Backend Web API

    Lecture 3: Persisting Employee Details

    Lecture 4: Saving the Profile Images to Queues

    Lecture 5: Storing the Image in Azure Blob Storage

    Lecture 6: Cropping an Image Using ImageResizer Trigger

    Lecture 7: Sending an Email Notification to the Administrator of the Website

    Lecture 8: Sending an Email Notification to the End User

    Lecture 9: Implementing Email Logging in the Blob Storage

    Lecture 10: Modifying the Email Content to Include an Attachment

    Lecture 11: Sending SMS Notification to the End User

    Lecture 12: Locate Faces from the Images

    Lecture 13: Azure SQL Database Interactions

    Lecture 14: Processing a File Stored in OneDrive

    Lecture 15: Monitoring Tweets Using Logic Apps

    Lecture 16: Integrating Logic Apps with Azure Functions

    Lecture 17: Creating the Function App Using Visual Studio 2017

    Lecture 18: Debugging C# Azure Functions on a Local Staged Environment

    Lecture 19: Connecting to the Azure Cloud Storage from Local Environment

    Lecture 20: Deploying the Azure Function App to Azure Cloud

    Lecture 21: Debugging Live C# Function Hosted on Cloud Environment

    Lecture 22: Continuous Integration – Creating a Build Definition

    Lecture 23: Continuous Integration – Queuing the Build and Trigger Manually

    Lecture 24: Configuring and Triggering the Automated Build

    Lecture 25: Creating a Release Definition

    Lecture 26: Trigger the Release Automatically

    Chapter 3: Serverless Azure Functions: Debugging, Deployment and Chatbots

    Lecture 1: The Course Overview

    Lecture 2: Setting Up the Local Codebase and Debugging

    Lecture 3: Automated Deployment Using Local Repository or GitHub

    Lecture 4: Monitoring and Other Platform Features

    Lecture 5: Dealing with the Cold Start Issue

    Lecture 6: Use Case and Requirements

    Lecture 7: Bot Configuration

    Lecture 8: Company Configuration

    Lecture 9: Solution Design

    Lecture 10: The Codebase

    Lecture 11: User Actions: Getting EmpID

    Lecture 12: User Actions: Signs

    Lecture 13: Bot Actions: Reminders

    Chapter 4: Azure Functions – Best Practices

    Lecture 1: The Course Overview

    Lecture 2: Testing Azure Functions

    Lecture 3: Testing an Azure Function On a Staged Environment

    Lecture 4: Load Testing Azure Functions Using VSTS

    Lecture 5: Creating and Testing Azure Function Locally

    Lecture 6: Testing and Validating Azure Function Responsiveness

    Lecture 7: Monitoring Your Azure Functions

    Lecture 8: Monitoring Azure Functions Using Application Insights

    Lecture 9: Pushing Custom Telemetry Details to Analytics of Application Insights

    Lecture 10: Sending Application Telemetry Details via Email

    Lecture 11: Integrating Real-Time AI Monitoring Data with Power BI

    Lecture 12: Creating a Common Code Repository for Better Manageability

    Lecture 13: Shared Code Across Azure Functions Using Class Libraries

    Lecture 14: Azure Functions and Precompiled Assemblies

    Lecture 15: Migrating legacy C# Application Classes to Azure Functions

    Lecture 16: Using Strongly Typed Classes in Azure Functions

    Lecture 17: Creating a Hello World Durable Function App

    Lecture 18: Testing and Troubleshooting Durable Functions

    Lecture 19: Adding Multiple Messages to a Queue

    Lecture 20: Implementing Defensive Applications Using Queue Triggers

    Lecture 21: Handling Massive Ingress for IoT and Similar Scenarios

    Lecture 22: Enabling Authorization for Function Apps

    Instructors

  • Serverless Computing with Azure Functions  No.2
    Packt Publishing
    Tech Knowledge in Motion
  • Rating Distribution

  • 1 stars: 8 votes
  • 2 stars: 6 votes
  • 3 stars: 20 votes
  • 4 stars: 39 votes
  • 5 stars: 51 votes
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