This course will teach you how to scale-out .NET Microservices to improve your software's performance and availability using stateless microservices with load balancers, queues, and caching.
There is a tendency to dive straight into the complex world of containers and container orchestration engines when trying to improve your ability to scale out and increase resiliency within your software. There is however a much simpler strategy available with components and techniques that are easier to implement quickly. In this course, Strategies for Microservice Scalability and Availability in ASP.NET Core, you’ll learn how to scale-out architecture using .NET-microservices. First, you’ll explore the importance of stateless services. Next, you’ll discover how stateless microservices allow you to run multiple services behind a load balancer or a queue. Finally, you’ll learn how to implement caching strategies to protect backend systems and improve performance. When you’re finished with this course, you’ll have the skills and knowledge of how to scale out .NET microservices to create software architecture with high availability and performance.
There is a tendency to dive straight into the complex world of containers and container orchestration engines when trying to improve your ability to scale out and increase resiliency within your software. There is however a much simpler strategy available with components and techniques that are easier to implement quickly. In this course, Strategies for Microservice Scalability and Availability in ASP.NET Core, you’ll learn how to scale-out architecture using .NET-microservices. First, you’ll explore the importance of stateless services. Next, you’ll discover how stateless microservices allow you to run multiple services behind a load balancer or a queue. Finally, you’ll learn how to implement caching strategies to protect backend systems and improve performance. When you’re finished with this course, you’ll have the skills and knowledge of how to scale out .NET microservices to create software architecture with high availability and performance.
