Cloud Virtualization, Containers and APIs

Cloud Virtualization, Containers and APIs

This course is part of Building Cloud Computing Solutions at Scale Specialization

Instructor: Noah Gift

Access provided by Trybe

17,569 already enrolled

4 modules

Gain insight into a topic and learn the fundamentals.

134 reviews

Beginner level

Recommended experience

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

134 reviews

Beginner level

Recommended experience

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

12 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Building Cloud Computing Solutions at Scale Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

Welcome to the second course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will learn to design Cloud-native systems with the fundamental building blocks of Cloud computing. These building blocks include virtual machines and containers. You will also learn how to build effective Microservices using technologies like Flask and Kubernetes. Finally, you will analyze successful patterns in Operations including: Effective alerts, load testing and Kaizen.

This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Students should have beginner level Linux and intermediate level Python skills. For your project in this course, you build a containerized Flask application that is continuously deployed to a Cloud platform: Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP).

This week, you will learn how to access the free tiers of three Cloud environments. If you are joining after completing the first course in this Specialization, this will already be familiar to you. You will then have an opportunity to review the details of the final project in this course: Creating a containerized Flask application that is continuously deployed to a Cloud platform. Each week, you will learn and build upon key Cloud development skills to prepare you for this final course project.

What's included

5 videos6 readings1 discussion prompt

5 videos Total 10 minutes

Instructor Introduction 2 minutes
Course Introduction 3 minutes
Course Prerequisites 2 minutes
Lab Onboarding 2 minutes
Course 2 Project Overview 2 minutes

6 readings Total 75 minutes

Getting Started and Course Gotchas 10 minutes
Course Structure and Discussion Etiquette 10 minutes
AWS Cloud9 vs AWS CodeCatalyst 10 minutes
Report a problem with the course 5 minutes
Create a free account with AWS, Azure and GCP 30 minutes
Specialization Project Roadmap: Course 2 10 minutes

1 discussion prompt Total 10 minutes

Introductions 10 minutes

This week, you will learn to evaluate the correct workflows for virtual machines and containers and how to choose the appropriate solution for the task at end. You will also learn about the powerful container management service: Kubernetes. You will apply this knowledge to create a containerized web service and deploy it to a managed container service.

What's included

26 videos16 readings4 assignments4 discussion prompts3 ungraded labs

26 videos Total 115 minutes

Introduction to Virtual Machines 3 minutes
Containers vs. Virtual Machines 3 minutes
How Do Spot Instances Work? 3 minutes
Launch an AWS Spot Instance 11 minutes
Create a GCP Virtual Machine from Terminal 6 minutes
Create Compute Cluster in Azure ML Studio 3 minutes
AWS Cloud Shell 4 minutes
Google Cloud Shell 8 minutes
Introduction to Containers 1 minute
Using Containers 3 minutes
What is Docker? 6 minutes
Run a Container from Docker Hub 5 minutes
Build a Docker Container Project from Scratch 4 minutes
Push to Project to AWS ECR Registry 7 minutes
What is Distroless? 3 minutes
Rust Distroless PyTorch Walkthrough 7 minutes
Rust Distroless PyTorch Running Demo 7 minutes
Introduction to Kubernetes 1 minute
Overview of Kubernetes 6 minutes
Kubernetes Key Concepts 2 minutes
Kubernetes Pods and Nodes 1 minute
Kubernetes Cluster 1 minute
Deploy App to Kubernetes on GKE 6 minutes
Kubernetes Demo 6 minutes
Options Container Orchestration 2 minutes
Minikube FastAPI Demo 7 minutes

16 readings Total 190 minutes

Key Terms 10 minutes
Red Hat on Containers vs VMs 10 minutes
Microsoft Learn on Containers vs VMs 10 minutes
Launch VM Quiklabs 40 minutes
Lesson Reflection 10 minutes
Key Terms 10 minutes
Docker Format Containers 10 minutes
Container from Scratch (GitHub Repo) 10 minutes
Containerized Flask Microservice Locally 10 minutes
Distroless Project 10 minutes
Lesson Reflection 10 minutes
Key Terms 10 minutes
More on Kubernetes 10 minutes
Containers and Deployment from an AWS Perspective 10 minutes
Lesson Reflection 10 minutes
Deploy a Kubernetes Python Flask App 10 minutes

4 assignments Total 120 minutes

Quiz 30 minutes
Quiz-Virtual Machines 30 minutes
Quiz-Containers 30 minutes
Quiz-Kubernetes 30 minutes

4 discussion prompts Total 40 minutes

AWS vCPU 10 minutes
Advantages of Spot Instances 10 minutes
Advantages of Containers 10 minutes
Kubernetes as "Planet Scale" 10 minutes

3 ungraded labs Total 180 minutes

Bash Aliases 60 minutes
Lint Dockerfile 60 minutes
FastAPI Calculator Microservice 60 minutes

This week, you will learn to build effective Microservices that comply with DevOps best practices. You will also learn to operationalize Microservices using Continuous Delivery. You will apply this knowledge to create an effective Microservice using AWS Lambda.

What's included

22 videos16 readings4 assignments3 discussion prompts3 ungraded labs

22 videos Total 89 minutes

Introduction to Microservices 2 minutes
What is a Microservice? 2 minutes
Running Microservices 1 minute
Introduction to Flask 2 minutes
What is Flask? 3 minutes
Flask Change Microservice 5 minutes
Flask Azure Microservice 9 minutes
Introduction to Serverless Microservices 1 minute
Serverless Functions Overview 2 minutes
Build Marco Polo AWS Lambda 6 minutes
Build Marco Polo Step Function 5 minutes
Build AWS S3 Bucket Trigger 4 minutes
CLI Trigger of Lambda 3 minutes
Google Cloud Function Change 6 minutes
Using AWS Lambda Console 5 minutes
Using Step Functions 4 minutes
Invoking Step Functions CLI 3 minutes
Building Rust AWS Lambda Add Function 7 minutes
Building Rust AWS Lambda Divide by Two Function 5 minutes
Invoking AWS Step Functions from CLI 3 minutes
Rust AWS Step Functions 7 minutes
Demo App Engine Rust Deploy 5 minutes

16 readings Total 160 minutes

Key Terms 10 minutes
How To Transform 10 minutes
What is JSON? 10 minutes
Microservices with AWS Lambda 10 minutes
Operationalizing a Microservice 10 minutes
Lesson Reflection 10 minutes
Key Terms 10 minutes
Flask Random Fruit-External Lab 10 minutes
Lesson Reflection 10 minutes
Key Terms 10 minutes
Serverless Cookbook Repository 10 minutes
Learn about AWS SAM (Serverless Application Model) 10 minutes
Cargo Lambda 10 minutes
AWS Step Functions 10 minutes
Lesson Reflection 10 minutes
Enhance a Flask Microservice 10 minutes

4 assignments Total 120 minutes

Quiz 30 minutes
Quiz-What is a Microservice? 30 minutes
Quiz-Using Flask 30 minutes
Quiz-Serverless Microservices 30 minutes

3 discussion prompts Total 30 minutes

Microservices as a DevOps Best Practice 10 minutes
Python Decorators in Flask 10 minutes
Events versus Polling 10 minutes

3 ungraded labs Total 180 minutes

Processing JSON 60 minutes
Flask Change Microservice 60 minutes
Marco Polo Command-line tool 60 minutes

This week, you will learn to effectively perform Operations. This involves mastering Monitoring and Alerts. A key question about Monitoring and Alerts is what to do when they occur. This question is handled in the following lesson. You will learn how load testing can prevent issues before they arise. Finally, the topic of Kaizen, or continuous improvement, is tackled. All of the topics this week are components of DevOps best practices.