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⇱ Application Development using Microservices and Serverless | Coursera


Application Development using Microservices and Serverless

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Application Development using Microservices and Serverless

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4.6

406 reviews

Intermediate level

Recommended experience

Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
92%
Most learners liked this course

Gain insight into a topic and learn the fundamentals.
4.6

406 reviews

Intermediate level

Recommended experience

Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
92%
Most learners liked this course

What you'll learn

  • Summarize the fundamentals of Microservices, their advantages, and contrast with monolithic architectures.

  • Create REST API endpoints and invoke them using cURL and Postman; Use SwaggerUI to document and test APIs.

  • Create, and deploy microservices using Docker containers and serverless technologies like IBM Code Engine.

  • Practice hands-on with labs and projects using a no-charge cloud-based environment.

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Assessments

10 assignments¹

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Taught in English

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There are 6 modules in this course

Welcome to this introductory course on microservices and serverless, essential technologies for cloud native and application modernization workloads.

Rather than building large applications, known as monoliths, that perform all the functionality, microservices break down larger applications into smaller pieces that are independently maintainable and scalable, providing a host of benefits. This architecture is now used in the largest software organizations in the world, because it provides cost benefits, team autonomy, and other advantages. Likewise, serverless has emerged as an increasingly popular compute option in the cloud era. Giving developers and operators the ability to run applications without managing underlying infrastructure. In this course, you will create microservices using various methodologies. You will create REST APIs using Python and Flask. Next, you will learn the basics of Serverless applications, and how to run your applications on the IBM Cloud Code Engine. The course contains several hands-on labs which allow you to practice and apply the content you learn in the course. In the final project, you will create a front-end application composed of several microservices and deploy them on the Cloud using serverless.

In this module, you will learn methodologies to follow while creating microservices. Learn the best practices for your application’s development, deployment, and operation stages. Also, understand how microservices allow you to independently design, deploy, and scale them while avoiding a single point of failure in your architecture. And finally, get an insight into different anti-patterns to avoid while designing microservices-based applications.

What's included

5 videos3 readings2 assignments1 app item2 plugins

5 videosTotal 26 minutes
  • Course Introduction3 minutes
  • Twelve-Factor App Methodology8 minutes
  • What are Microservices?3 minutes
  • Comparison of Monolith vs. SOA vs. Microservices5 minutes
  • Microservices Patterns6 minutes
3 readingsTotal 17 minutes
  • Course Overview5 minutes
  • Microservices Anti-Patterns10 minutes
  • Module 1 Summary2 minutes
2 assignmentsTotal 40 minutes
  • Graded Quiz: Introduction to Microservices30 minutes
  • Practice Quiz: Introduction to Microservices10 minutes
1 app itemTotal 60 minutes
  • Hands-on Activity: Modernize JPetStore with Microservices60 minutes
2 pluginsTotal 12 minutes
  • Reading: Lab Options by Programming Language10 minutes
  • Module 1 Glossary - Introduction to Microservices2 minutes

In this module, you will learn about the REST architecture, its key characteristics of flexibility, uniformity, and scalability. Create your very first REST based API using Python and Flask. Use Swagger to document it and test it using cURL, Postman, and a functionality provided by Swagger. Learn the importance of API Gateways, why you need them, their advantages, especially for abstracting your backend and allowing you to plug additional services.

What's included

6 videos1 reading2 assignments8 app items1 plugin

6 videosTotal 23 minutes
  • What is REST?3 minutes
  • Introduction to API Gateway5 minutes
  • Creating REST APIs 3 minutes
  • Making API Requests using CURL and Postman5 minutes
  • Documenting and Testing REST APIs with Swagger5 minutes
  • Optional: Basics of GraphQL 3 minutes
1 readingTotal 2 minutes
  • Module 2 Summary2 minutes
2 assignmentsTotal 40 minutes
  • Graded Quiz: Web API Essentials - REST API and GraphQL30 minutes
  • Practice Quiz: Web API Essentials - REST API and GraphQL10 minutes
8 app itemsTotal 134 minutes
  • Lab (Option A: Python): Creating a HELLO WORLD REST API10 minutes
  • Lab (Option B: JavaScript): Creating a HELLO WORLD REST API1 minute
  • Lab (Option A: Python): CRUD Operations45 minutes
  • Lab (Option B: JavaScript): CRUD Operations1 minute
  • Lab (Option A: Python): Creating a Swagger Documentation for REST API45 minutes
  • Lab (Option B: JavaScript): Creating a Swagger Documentation for REST API1 minute
  • Optional Lab (Option A: Python): Querying with GraphQL30 minutes
  • Optional Lab (Option B: JavaScript): Querying with GraphQL1 minute
1 pluginTotal 1 minute
  • Module 2 Glossary - Web API Essentials REST API and GraphQL1 minute

In this module, you will learn the basics of Serverless applications, and compare them with Containers and Traditional computing models while looking at the advantages and disadvantages of each. You will also understand the Function-as-a-Service model and its constraints. Further, get an overview of the Serverless Framework, a reference architecture, and other use cases. And finally, you will learn about the serverless platforms most commonly used these days.

What's included

6 videos1 reading2 assignments4 plugins

6 videosTotal 34 minutes
  • Introduction to Serverless Computing7 minutes
  • Serverless Pros and Cons9 minutes
  • Introduction to the FaaS Model6 minutes
  • The Serverless Framework4 minutes
  • Serverless Reference Architecture and Use Cases4 minutes
  • Popular Serverless Platforms5 minutes
1 readingTotal 2 minutes
  • Module 3 Summary2 minutes
2 assignmentsTotal 40 minutes
  • Graded Quiz: Serverless Overview30 minutes
  • Practice Quiz: Serverless Overview10 minutes
4 pluginsTotal 42 minutes
  • Reading: AWS Lambda10 minutes
  • Optional: Sign-up for AWS Account10 minutes
  • Optional: Creating an AWS Lambda20 minutes
  • Module 3 Glossary - Serverless Overview2 minutes

In this module, you will learn about how the IBM Cloud Code Engine builds and deploys your apps in seconds. You will then be introduced to IBM Cloud Code Engine’s use cases: deploy applications, build and deploy applications, and run jobs. Next, you will use a Dockerfile to build a container-based application. You will learn to use the IBM Cloud Console or IBM Cloud CLI to perform the application deployment tasks and then deploy it on the IBM Cloud Code Engine.

What's included

5 videos1 reading2 assignments6 app items3 plugins

5 videosTotal 32 minutes
  • IBM Cloud Code Engine7 minutes
  • Project, Application, Build, and Jobs5 minutes
  • Building Container Images for Microservices6 minutes
  • Deploying and Running Applications 5 minutes
  • Updating Deployed Applications8 minutes
1 readingTotal 2 minutes
  • Module 4 Summary2 minutes
2 assignmentsTotal 40 minutes
  • Graded Quiz: Create and Deploy Microservices30 minutes
  • Practice Quiz: Create and Deploy Microservices10 minutes
6 app itemsTotal 68 minutes
  • Lab (Option A: Python): Deploying your first application on Code Engine15 minutes
  • Lab (Option B: JavaScript): Deploying your first application on Code Engine1 minute
  • Lab (Option A: Python): Deploying your first Docker image on Code Engine20 minutes
  • Lab (Option B: JavaScript): Deploying your first Docker image on Code Engine1 minute
  • Lab (Option A: Python): Deploy, Update, and Scale Microservices with Serverless Framework30 minutes
  • Lab (Option B: JavaScript): Deploy, Update, and Scale Microservices using the Serverless Framework1 minute
3 pluginsTotal 12 minutes
  • Environment Configurations for Code Engine5 minutes
  • Integrations of IBM Code Engine with Other Services5 minutes
  • Module 4 Glossary - Create and Deploy Microservices2 minutes

What's included

2 readings1 peer review3 app items2 plugins

2 readingsTotal 3 minutes
  • Congrats & Next Steps2 minutes
  • Thanks from the course team1 minute
1 peer reviewTotal 60 minutes
  • Option 2:Peer Review: Submit Your Work and Review Your Peers60 minutes
3 app itemsTotal 151 minutes
  • Option 1 : AI Graded Submission and Evaluation60 minutes
  • Final Project (Option A: Python): Product Price Comparison Application90 minutes
  • Final Project (Option B: JavaScript): Product Price Comparison Application1 minute
2 pluginsTotal 30 minutes
  • Final Project: Overview15 minutes
  • Final Project: Scenario and Review Criteria15 minutes

Discover how Red Hat® OpenShift®, a container platform for Kubernetes, helps you automate the provisioning, management, and scaling of your Cloud applications. Explore what a service mesh is and how service meshes benefit organizations who are using microservices. Wrap up this module with an understanding of microservices on OpenShift.

What's included

3 videos1 reading2 assignments1 app item

3 videosTotal 16 minutes
  • Red Hat OpenShift Recap4 minutes
  • Service Mesh and Istio8 minutes
  • Microservices with OpenShift4 minutes
1 readingTotal 10 minutes
  • Optional Module Summary10 minutes
2 assignmentsTotal 20 minutes
  • Practice Quiz 10 minutes
  • Practice Quiz: OpenShift Essentials/Working with OpenShift and Istio10 minutes
1 app itemTotal 60 minutes
  • Hands-on Lab: Deploying Microservices on OpenShift60 minutes

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4.4 (87 ratings)
IBM
3 Courses178,807 learners

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Showing 3 of 406

FI
·

Reviewed on Oct 21, 2021

I finished this course in less than 2 weeks. The course was easy to follow and can give you a quick start on IBM cloud and Serverless Applications. Highly recommend this course.

BN
·

Reviewed on Mar 29, 2024

wonderfull course, specially practice part, I really enjoyed it. I would be better if the AWS cloud part has a practice labs. anyway it was an awsome course. thank you guys

NH
·

Reviewed on Feb 11, 2023

Very practical with direct application to solve real-world problems.

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.