Remove Cloud Remove Load Balancer Remove Microservices
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10 most in-demand enterprise IT skills

CIO

And part of that success comes from investing in talented IT pros who have the skills necessary to work with your organizations preferred technology platforms, from the database to the cloud. AWS Amazon Web Services (AWS) is the most widely used cloud platform today.

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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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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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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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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

Each component in the previous diagram can be implemented as a microservice and is multi-tenant in nature, meaning it stores details related to each tenant, uniquely represented by a tenant_id. This in itself is a microservice, inspired the Orchestrator Saga pattern in microservices. API Gateway also provides a WebSocket API.