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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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Evaluating a Microservice Architecture

Tandem

Microservice architecture has been a hot topic in the realm of software development for a while now. It’s often portrayed as a revolutionary method for constructing software systems that are scalable, adaptable, and efficient. However, like any technology, it has its strengths and weaknesses.

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14 in-demand cloud roles companies are hiring for

CIO

Cloud software engineer Cloud software engineers are tasked with developing and maintaining software applications that run on cloud platforms, ensuring they are built to be scalable, reliable, and agile. Role growth: 18% of businesses have added data architect roles as part of their cloud investments.

Cloud 302
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Serverless NiFi Flows with DataFlow Functions: The Next Step in the DataFlow Service Evolution

Cloudera

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native service for Apache NiFi within the Cloudera Data Platform (CDP). New use cases: event-driven, batch, and microservices. The GA of DataFlow Functions (DFF) marks the next significant stage in the evolution of CDF-PC.

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Exploring Quarkus vs Spring Boot

Apiumhub

Quarkus: Unleashing the Power of Cloud-Native Development Quarkus is a Kubernetes-native Java framework designed for building cloud-native, microservices-based applications. Quarkus excels in scenarios where fast startup times and small container sizes are paramount, such as serverless computing, IoT, and edge computing.

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IBM and AWS Partnership Accelerates Cloud Modernization

CIO

This helps practitioners decide, for example, what applications would benefit from a complete rewrite to be cloud-native versus which should be refactored through use of containerization, APIs, and microservices. Think of ICCA as a GPS for app modernization,” Varadarajan says.

AWS 264
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How to avoid converting “Distributed monolith” microservices into “Serverless monoliths”

The Agile Monkey

From Microservices to Serverless: How to avoid converting “Distributed monolith” microservices into “Serverless monoliths” Learning from the past: converting a monolith into… a worse monolith When microservices became mainstream, a lot of companies started to migrate their monolithic systems to a distributed microservice architecture.