Microsoft Azure for Node.js Developers - Cloud Patterns and Architecture
Microsoft Azure supports Node.js for building scalable and resilient cloud applications. This course covers the main Azure services including load balancing, caching, partitioning, content delivery networks and performance testing.
What you'll learn
Designing applications in the cloud requires a different style of thinking, and deep knowledge of cloud infrastructure and services. In this course, Microsoft Azure for Node.js Developers - Cloud Patterns and Architecture, you'll learn how various Azure services can help build scalable and resilient applications. First, you'll explore how to use specific Azure resources to add redundancy, fail-over, and load balancing to a system. Next, you'll support scaling with partitioning and caching. Finally, you'll discover Content Delivery Networks, API management, and performance testing. When you're finished with this course, you'll have covered multiple resources that will help you as you build scalable Node applications in Microsoft Azure. This course is adapted from "Microsoft Azure for .NET Developers - Cloud Patterns and Architecture" by Scott Allen.
Table of contents
- Introduction 1m
- Azure Services and Offerings 8m
- Evaluating Overlaps 4m
- Web Applications with App Services 7m
- Authentication and Authorization 3m
- Scalable Web Services 7m
- Multi-region Deployments 3m
- API Gateways 3m
- Mobile Applications 3m
- Microservices and Service Fabric 3m
- The Internet of Things and Big Data 4m
- N-tier Applications and Virtual Machines 5m
- Summary 1m
- Introduction 1m
- What Exactly Do We Mean by 'Resilient'? 3m
- Failure Is Inevitable 4m
- Redundancy Features for Virtual Machines 4m
- Working the Numbers: Service Levels 4m
- Improving Connection Resiliency 7m
- Graceful Degradation 5m
- Load Balancing and Request Distribution 1m
- Setting up Azure Traffic Manager: Demo 5m
- Azure Traffic Manager Endpoints: Demo 7m
- Load Leveling 3m
- Using Azure Service Bus 2m
- Creating and Using Azure Service Bus Queues: Demo 10m
- Automation and Deployment 2m
- Testing 1m
- Monitoring 1m
- Summary 1m
- Introduction 0m
- Relating Performance and Scalability 1m
- A Sample Architecture 5m
- Partitioning 8m
- Horizontal Partitioning in Cosmos DB 5m
- Application Patterns 2m
- The CAP Theorem 7m
- Examples of Caching 1m
- Configuring and Using Redis Cache 11m
- Introducing Content Delivery Networks 1m
- Configure and Using an Azure CDN 9m
- Exploring the API Management Service 2m
- Preparing an API 3m
- Importing an API 10m
- Configuring an API 6m
- Summary 1m