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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 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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Moving to the Cloud: Exploring the API Gateway to Success

Daniel Bryant

The fundamentals of API gateway technology have evolved over the past ten years, and adopting cloud native practices and technologies like continuous delivery, Kubernetes, and HTTP/3 adds new dimensions that need to be supported by your chosen implementation. You must establish your goals for moving to the cloud early in the process?

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What Is Envoy Proxy?

Dzone - DevOps

Introducing Envoy proxy Envoy proxy architecture with Istio Envoy proxy features Use cases of Envoy proxy Benefits of Envoy proxy Demo video - Deploying Envoy in K8s and configuring as a load balancer Why Is Envoy Proxy Required?

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Deploying a Service Mesh: Challenges and Solutions

DevOps.com

A service mesh is a dedicated infrastructure layer that enables communication between microservices in a distributed application. It helps to abstract the underlying communication infrastructure, such as network protocols and load balancing and provides a consistent interface for microservices to communicate with each other.

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Demystifying Kuma Service Mesh

Dzone - DevOps

Service mesh emerged as a response to the growing popularity of cloud-native environments, microservices architecture, and Kubernetes. While Kubernetes helped resolve deployment challenges, the communication between microservices remained a source of unreliability. were not optimized. were not optimized.