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IBM and AWS Partnership Accelerates Cloud Modernization

CIO

What they are less decisive about is how to map the right cloud modernization journey, one that is efficient and secure while delivering business agility and competitive advantage. When refactoring applications, it’s critical to decompose a monolith application into microservices that can fetch data for different business transaction.

AWS 279
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How to Create Microservices-based Applications for AWS

TIBCO - Connected Intelligence

In order to combat these forces, a business needs to be agile so that it can rapidly adapt its operations as well as its products and services to meet the new market conditions. One way to build this agility is by evolving to a microservices architecture. Microservices are very small units of executable code.

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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.

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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. Improved developer agility.

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Modernizing on AWS: Strategies, Benefits, and Partnerships with Xebia

Xebia

Many companies across various industries prioritize modernization in the cloud for several reasons, such as greater agility, scalability, reliability, and cost efficiency, enabling them to innovate faster and stay competitive in today’s rapidly evolving digital landscape.

AWS 130
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Digital Transformation Business Case Powered by Remote Nearshore Model

iTexico

The real transformation is in the adoption of serverless architecture, microservices, workflow automation. Through Agile methodologies and teaming, our adaptive teams always stay focused to deliver on time and budget. Every database was migrated to Lambda, and every shared server for the VM's were moved to Amazon's S3 storage service.

Lambda 52
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Question the Current Dogma — Is Kubernetes Hyper-Scale Necessary for Everyone?

Stackery

Moving to Kubernetes and containers is about de-coupling applications and making them more agile. If the business goal is time-to-market and delivering applications fast and in a way that is manageable, secure, and scalable, then most of the time Kubernetes is the wrong choice for your organization. Serverless Pragmatism.