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How to Implement Client-Side Load Balancing With Spring Cloud

Dzone - DevOps

It is common for microservice systems to run more than one instance of each service. It is therefore important to distribute the load between those instances. The component that does this is the load balancer. Spring provides a Spring Cloud Load Balancer library. This is needed to enforce resiliency.

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Microservices on AWS [Video]

Dzone - DevOps

I will be creating a Spring Boot microservice and deploy it to AWS EC2 instances running behind an application load balancer in an automated way using the AWS Code Pipeline. In this tutorial, you will have hands-on experience in developing a spring boot microservice and how it can be deployed in the cloud.

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Tutorial 3 – Using Spring Boot – Publish Microservice to Eureka Server and Type of Client Components

Perficient

To access previous blog, click this link: – Tutorial 02 – Spring Cloud – Netflix Eureka Server Publish Microservice to Eureka Server Every Microservice must be published/ registered with Eureka Server (R&D Server) by becoming Eureka Client We must create a microservice using Spring Rest Controller to offer support.

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Microservices Architectural Design by using Spring Boot

Perficient

What is Microservices Architecture? Microservices Architecture Software development follows an architectural and organizational approach where small independent services communicate with each other through well-defined APIs. A microservice can locate and connect with other microservices only when it is published on an R&D server.

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Tutorial 4 – Microservices – Discovery Client, LoadBalancer Client and Feign Client.

Perficient

Load Balancer Client Component (Good, Perform Load Balancing). Load Balancer Client Component (Good, Perform Load Balancing). Feign Client Component (Best, Support All Approached, and Load Balancing). Load balancing is not feasible].

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AI-Driven API and Microservice Architecture Design for Cloud

Dzone - DevOps

Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Automated scaling : AI can monitor usage patterns and automatically scale microservices to meet varying demands, ensuring efficient resource utilization and cost-effectiveness.

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10 most in-demand enterprise IT skills

CIO

Its used for web development, multithreading and concurrency, QA testing, developing cloud and microservices, and database integration. Its a common skill for cloud engineers, platform engineers, site reliability engineers, microservices developers, systems administrators, containerization specialists, and DevOps engineers.

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