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Microservices Sucks — Amazon Goes Back to Basics

DevOps.com

In this week’s #TheLongView: Amazon Prime Video has ditched its use of microservices-cum-serverless, reverting to a traditional, monolithic architecture. The post Microservices Sucks — Amazon Goes Back to Basics appeared first on DevOps.com. It vastly improved the workload’s cost and scalability.

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Evaluating a Microservice Architecture

Tandem

Microservice architecture has been a hot topic in the realm of software development for a while now. This blog post will provide a balanced view of the advantages and disadvantages of microservice architecture for enterprise software systems. However, like any technology, it has its strengths and weaknesses.

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Can Dynamic Sites Go Serverless?

Netlify

Why I migrated my dynamic sites to a serverless architecture. Like most web developers these days, I’ve heard of serverless applications and Jamstack for a while. The idea of serverless for a tool that is mostly static content is appealing. Not the usual serverless migration. So, should I migrate at all?

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Dynamic Data Processing Using Serverless Java With Quarkus on AWS Lambda (Part 1)

Dzone - DevOps

With the growth of the application modernization demands, monolithic applications were refactored to cloud-native microservices and serverless functions with lighter, faster, and smaller application portfolios for the past years.

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Performance Optimization for Multi-Layered Cloud Native AWS Application

Dzone - DevOps

Cloud-native application development in AWS often requires complex, layered architecture with synchronous and asynchronous interactions between multiple components, e.g., API Gateway, Microservices, Serverless Functions, and system of record integration.

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Exploring Quarkus vs Spring Boot

Apiumhub

This article compares Quarkus vs Spring Boot, examining their features, performance, ecosystem, developer experience, and suitability for various applications. Quarkus: Unleashing the Power of Cloud-Native Development Quarkus is a Kubernetes-native Java framework designed for building cloud-native, microservices-based applications.

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Serverless NiFi Flows with DataFlow Functions: The Next Step in the DataFlow Service Evolution

Cloudera

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions. New use cases: event-driven, batch, and microservices.