Java & Microservices in Azure
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Eureka is a REST-based service used in AWS for service discovery, load balancing, and failover of middle-tier servers, while Azure Container Service provides an optimized platform for deploying and managing containers. Both tools are categorized under different services, with Azure focusing on container management and Eureka on service discovery. Key considerations for developers include the ease of setup and integration, with Eureka being favored for Spring Cloud applications.
Java & Microservices in Azure
- 5. Eureka is a REST (Representational State Transfer) based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers. At Netflix, Eureka is used for the following purposes apart from playing a critical part in mid-tier load balancing.
- 10. Azure Container Service vs Eureka: What are the differences? Azure Container Service: Deploy and manage containers using the tools you choose. Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else; Eureka: AWS Service registry for resilient mid-tier load balancing and failover. Eureka is a REST (Representational State Transfer) based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers. Azure Container Service and Eureka are primarily classified as "Containers as a Service" and "Open Source Service Discovery" tools respectively. "Easy to setup, very agnostic" is the primary reason why developers consider Azure Container Service over the competitors, whereas "Easy setup and integration with spring-cloud " was stated as the key factor in picking Eureka. Eureka is an open source tool with 7.98K GitHub stars and 2.2K GitHub forks. Here's a link to Eureka's open source repository on GitHub.
- 12. Decoupling in Cloud Era: Building Cloud Native Microservices with Spring Cloud Azure Key Takeaways ● Cloud native applications should exploit full advantages of cloud, rather than just migrating into cloud ● Microservice go with cloud native hand in hand, by running on cloud computing environment ● Centralized config, services discovery, asynchronous message driven and distributed tracing are microservice infrastructure ● Spring Cloud provides common microservice patterns and abstraction without locking on specific implementation ● Spring Cloud Azure follows abstractions provided by Spring Cloud, and provides seamless integration with Azure service
- 14. Distributed tracing via Spring Cloud Sleuth and Zipkin
- 16. Distributed tracing via Spring Cloud Sleuth and Zipkin 1. Set up module and dependencies for each microservice. Although Spring Initializr could help with this, it's still huge effort since the number of microservice might be big. 2. Ensure the dependency and version among all services are compatible. 3. Configure properties for each service and some properties are related. This is error-prone when doing manually. 4. Common infrastructure services provided by Spring Cloud have their own annotation and config to make services run. You need to follow official samples to make all these correct. 5. Many users want to run these services locally by docker. Manually writing dockerFile is time-consuming and requires a deep understanding of relationship of microservices. https://github.com/Microsoft/spring-cloud-azure