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Sahil Malik

Serverless computing removes a lot of responsibility from you while giving you the power and flexibility to diagnose, scale, deploy, and debug applications. This course explains Azure Functions, Logic Apps, Service Bus, and Event Grid.

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Serverless computing removes a lot of responsibility from you while giving you the power and flexibility to diagnose, scale, deploy, and debug applications. This course explains Azure Functions, Logic Apps, Service Bus, and Event Grid.

Writing and running an application involves a lot of tasks that have nothing to do with the application itself. In this course, Configuring Serverless Computing in Microsoft Azure, you will learn how serverless computing removes a lot of that responsibility from you, so you can focus on what is important. First, you will learn the various serverless computing choices. Next, you will discover Azure Functions, Logic Apps, and Service Bus. Finally, you will explore how to create solutions using multiple serverless computing choices by integrating them with Event Grid. When you are finished with this course, you will have a solid understanding and will be well equipped to deliver real-world solutions using Azure serverless computing choices.

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What's inside

Syllabus

Course Overview
Serverless Computing Versus Other Choices
Creating Azure Functions
Azure Logic Apps
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Managing Azure Service Bus
Using Azure Event Grid

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Focuses on the combination of Azure Functions, Logic Apps, Service Bus, and Event Grid
Covers serverless computing options, allowing for a focus on the important aspects of application development
Provides an overview of the various serverless computing choices, Azure Functions, Logic Apps, and Service Bus
Emphasizes the practicality of using multiple serverless computing choices by integrating them with Event Grid
Taught by Sahil Malik, an instructor recognized for their work in serverless computing

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Configuring Serverless Computing in Microsoft Azure with these activities:
Review Serverless Computing
Reviewing serverless computing helps confirm foundational knowledge and identifies any areas for improvement before the course begins.
Browse courses on Serverless Computing
Show steps
  • Study lecture notes or textbooks on serverless computing
  • Take online quizzes or practice questions on serverless computing fundamentals
Practice Writing Serverless Functions
Writing serverless functions helps you immediately apply the course concepts in a practical setting.
Show steps
  • Create a serverless function using Azure Functions
  • Test and debug the function using a serverless testing framework
Learn Azure Service Bus
This tutorial provides step-by-step guidance for working with Azure Service Bus, a key component in serverless computing.
Show steps
  • Follow a video tutorial or online guide on Azure Service Bus basics
  • Create a message queue or topic using Azure Service Bus
Five other activities
Expand to see all activities and additional details
Show all eight activities
Build a Serverless Application
Building a serverless application requires you to synthesize and apply different aspects of the course in a practical project.
Show steps
  • Design the architecture of your serverless application
  • Implement the application using Azure Functions, Logic Apps, and Azure Service Bus
  • Deploy and test the application
Compile Serverless Computing Resources
Compiling resources helps you organize your learning materials and identify gaps in your knowledge.
Show steps
  • Gather articles, tutorials, and videos on serverless computing
  • Organize and categorize the resources for easy reference
Mentor Junior Developers in Serverless Computing
Mentoring others helps you solidify your understanding by explaining concepts to them.
Show steps
  • Identify junior developers or students interested in serverless computing
  • Provide guidance and support on serverless computing concepts and best practices
  • Review their code and provide feedback on their serverless development
Attend a Serverless Computing Workshop
Workshops offer hands-on experience and the opportunity to learn from experts in serverless computing.
Show steps
  • Find and register for a serverless computing workshop
  • Attend the workshop and participate in hands-on activities
Contribute to Open-Source Serverless Projects
Contributing to open-source projects provides real-world experience and showcases your skills in serverless computing.
Show steps
  • Identify open-source projects in serverless computing that you are interested in
  • Submit pull requests to fix bugs or add features to the project
  • Collaborate with other developers on open-source serverless projects

Career center

Learners who complete Configuring Serverless Computing in Microsoft Azure will develop knowledge and skills that may be useful to these careers:
Serverless Architect
A Serverless Architect is responsible for the end-to-end design, development, and implementation of serverless applications. They collaborate with teams of engineers to identify and select the best serverless services for their applications. They also create and maintain a serverless architecture that is scalable, reliable, and secure. The Configuring Serverless Computing in Microsoft Azure course provides a solid foundation for Serverless Architects. The course covers the basics of serverless computing and its various services. It also provides hands-on experience in creating and deploying serverless applications.
Cloud Engineer
A Cloud Engineer is responsible for the design, implementation, and management of cloud computing systems. They work with clients to identify their cloud computing needs and develop solutions that meet their requirements. They also manage the deployment and operation of cloud computing systems. The Configuring Serverless Computing in Microsoft Azure course provides Cloud Engineers with the skills and knowledge they need to work with serverless computing services.
Software Engineer
Software engineers design, develop, test, and maintain software applications. They work with clients to identify their software needs and develop solutions that meet their requirements. They also create and maintain software code. The Configuring Serverless Computing in Microsoft Azure course provides Software Engineers with the skills and knowledge they need to work with serverless computing services.
Systems Analyst
A Systems Analyst is responsible for the analysis, design, and implementation of computer systems. They work with clients to identify their systems needs and develop solutions that meet their requirements. They also create and maintain systems documentation. The Configuring Serverless Computing in Microsoft Azure course provides Systems Analysts with the skills and knowledge they need to work with serverless computing services.
Solutions Architect
Solutions Architects work with clients to identify their business needs and develop solutions that meet their requirements. They create and maintain a roadmap for the implementation of solutions. They also work with teams of engineers to develop and deploy solutions. The Configuring Serverless Computing in Microsoft Azure course provides Solutions Architects with the skills and knowledge they need to work with serverless computing services.
Technical Architect
Technical Architects work with teams of engineers to design and develop software applications. They identify and select the best technologies for their applications. They also work with teams of engineers to implement and maintain software applications. The Configuring Serverless Computing in Microsoft Azure course provides Technical Architects with the skills and knowledge they need to work with serverless computing services.
DevOps Engineer
DevOps engineers work with teams of developers and operations engineers to improve the software development process. They automate tasks and processes, and they work to improve the quality and reliability of software applications. The Configuring Serverless Computing in Microsoft Azure course provides DevOps Engineers with the skills and knowledge they need to work with serverless computing services.
Network Engineer
Network Engineers are responsible for the design, implementation, and management of computer networks. They work with clients to identify their network needs and develop solutions that meet their requirements. They also create and maintain network documentation. The Configuring Serverless Computing in Microsoft Azure course provides Network Engineers with the skills and knowledge they need to work with serverless computing services.
Quality Assurance Analyst
Quality Assurance Analysts work with teams of engineers to test and verify the quality of software applications. They create and maintain test plans and procedures. They also work with teams of engineers to identify and fix bugs. The Configuring Serverless Computing in Microsoft Azure course provides Quality Assurance Analysts with the skills and knowledge they need to work with serverless computing services.
Business Analyst
Business Analysts work with clients to identify their business needs and develop solutions that meet their requirements. They create and maintain business requirements documents. They also work with teams of engineers to develop and deploy solutions. The Configuring Serverless Computing in Microsoft Azure course provides Business Analysts with the skills and knowledge they need to work with serverless computing services.
Data Scientist
Data Scientists use data to create models that can be used to make predictions and decisions. They work with clients to identify their data needs and develop models that meet their requirements. They also create and maintain data models. The Configuring Serverless Computing in Microsoft Azure course provides Data Scientists with the skills and knowledge they need to work with serverless computing services.
Database Administrator
Database Administrators are responsible for the design, implementation, and management of databases. They work with clients to identify their database needs and develop solutions that meet their requirements. They also create and maintain database documentation. The Configuring Serverless Computing in Microsoft Azure course provides Database Administrators with the skills and knowledge they need to work with serverless computing services.
Project Manager
Project Managers are responsible for the planning, execution, and completion of projects. They work with teams of engineers to develop and deploy software applications. They also manage the budget and timeline for projects. The Configuring Serverless Computing in Microsoft Azure course provides Project Managers with the skills and knowledge they need to work with serverless computing services.
IT Manager
IT Managers are responsible for the planning, execution, and completion of IT projects. They work with teams of engineers to develop and deploy software applications. They also manage the budget and timeline for IT projects. The Configuring Serverless Computing in Microsoft Azure course provides IT Managers with the skills and knowledge they need to work with serverless computing services.
Security Engineer
A Security Engineer is responsible for the security of computer systems and networks. They work with clients to identify their security needs and develop solutions that meet their requirements. They also create and maintain security documentation. The Configuring Serverless Computing in Microsoft Azure course provides Security Engineers with the skills and knowledge they need to work with serverless computing services.

Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Configuring Serverless Computing in Microsoft Azure.
Provides a deeper understanding of data-intensive applications and the challenges involved in designing and building them. While not specifically focused on serverless computing, it offers valuable insights into data management and processing, which are essential aspects of modern applications.
Provides a comprehensive overview of serverless architectures on AWS. Covers topics such as serverless computing models, AWS serverless services, and best practices. Offers guidance on designing and implementing serverless applications on AWS. Useful for understanding the comparative aspects of serverless computing across different cloud platforms.
Provides a comprehensive overview of Azure DevOps, covering its key capabilities and best practices for implementing continuous integration and continuous delivery (CI/CD) pipelines.
Provides a comprehensive guide to Logic Apps, a serverless workflow service in Azure. It covers the key concepts, benefits, and challenges of Logic Apps, and provides guidance on how to design and implement Logic Apps workflows.

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