Java Microservices with Spring Cloud: Coordinating Services

سرفصل های دوره

This course will teach you how Spring Cloud makes it easier for you to locate, connect to, protect, and chain your microservices. You'll explore 6 major Spring Cloud projects and how to effectively use them.

1. Course Overview

1. Course Overview

2. Introducing Spring Cloud and Microservices Coordination Scenarios

1. Version Check

2. Overview

3. Popularity, Characteristics, and Challenge

4. Spring Cloud and How Well Use It in This C

5. Course Goals and Prerequisites

03. Locating Services at Runtime Using Service Discovery

01. Overview

02. The Role of Service Discovery in Microservices

03. Problems with the Status Quo

04. About Spring Cloud Eureka

05. Creating a Eureka Server and Using the Eureka Dashboa

06. Demo - Creating a Eureka Server

07. Registering a Service with Eureka

08. Demo - Registering Multiple Services with Eureka

09. Discovering a Service with Eureka

10. Demo - Discovering and Load Balancing Services with E

11. Configuring Service Health Information

12. Demo - Adding a Custom Health Check to a Eureka-regis

13. High Availability and Advanced Configuration for Eur

14. Summary

04. Protecting Systems with Circuit Breakers

01. Overview

02. The Role of Circuit Breakers in Microservices

03. Problems with the Status Quo

04. About Spring Cloud Circuit Breaker

05. Creating a Circuit Breaker with Resilience4j

06. Demo - Adding a Circuit Breaker to Your Application

07. Looking at Advanced Configurations

08. Demo - Applying Advanced Circuit Breaker Configurations

09. Accessing Circuit Breaker Metrics

10. Demo - Using Micrometer, Prometheus, and Grafana for Observabilit

11. Summary

05. Routing Your Microservices Traffic

01. Overview

02. The Role of Routing and the Problem with the Status Quo

03. About Spring Cloud LoadBalancer

04. Configuring a LoadBalancer in Your Applications

05. Demo - Using a LoadBalancer Without Eureka Integration

06. How LoadBalancer and Eureka Work Together

07. Demo - Using LoadBalancer with Eureka Integration

08. Customizing LoadBalancer through Configuration

09. Demo - Changing LoadBalancer Behavior through Configuration

10. About Spring Cloud Gateway

11. Creating a Gateway

12. Demo - Creating a Gateway with and without Eureka

13. About Gateway Filters and Stages

14. Demo - Applying Filters for Routing Microservices

15. Summary

06. Connecting Microservices Through Messaging

01. Overview

02. The Role of Messaging and the Problem with the Status Quo

03. About Spring Cloud Stream

04. Understanding Binders and Configuring Stream Applications

05. Demo - Creating Message Producers and Consumers

06. More Options for Producing and Consuming Messages

07. The Role of Processors in Spring Cloud Stream

08. Demo - Using Processors and Conditional Subscribers

09. RabbitMQ and Apache Kafka Binding Propertie

10. Using Consumer Groups to Scale

11. Demo - Pushing Messages and Configuring Consumer Groups

12. Stateful Processing with Partitions

13. Demo - Setting up and Using Partitions

14. Working with Content Types

15. Spring Cloud Stream Health and Metrics

16. Summary

07. Building Data Processing Pipelines Out of Microservices

01. Overview

02. The Role of Orchestration and the Problem with the

03. About Spring Cloud Data Flow

04. About the Data Flow Server

05. Comparing Streams and Tasks

06. Where Streaming Apps Come From

07. Installing Spring Cloud Data Flow

08. Demo - Getting Spring Cloud Data Flow up and Runni

09. About Stream Starter Apps

10. Creating Streams with Spring Cloud Data Flow

11. Deploying Data Pipelines

12. Demo - Creating and Deploying Streaming Pipelines

13. Creating Tasks with Spring Cloud Data Flow

14. Demo - Creating and Executing Tasks

15. Using the Spring Cloud Data Flow Dashboard

16. Demo - Building, Deploying, and Tapping Streams fr

17. Creating Custom Stream or Task Apps

18. Demo - Creating, Registering, and Using a Custom A

19. Creating Composed Tasks

20. Demo - Creating Custom Task Apps and Arranging in

21. Monitoring Spring Cloud Data Flow Pipelines

22. Updating Apps, Streams, and Tasks

23. Summary

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تولید کننده: PluralSight