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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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FaaS: Evolving to a Truly Serverless Paradigm

DevOps.com

FaaS helps alleviate some of the administration and management issues related to serverless Creating distributed applications demands a thorough understanding of cloud infrastructures and architectures. The current standard is to architect programs into microservices, before deploying […].

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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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Is Kubernetes Serverless?

Linux Academy

If you take a look at where the IT industry is going, you will start to see a trend: a layer of complexity added to the relationship between applications and infrastructure. No longer can you draw a straight line from the application to the machine it runs on. What is Kubernetes?

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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.

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A History of Distributed Tracing

DevOps.com

Organizations are increasingly using distributed tracing to monitor their complex, microservice-based architectures. Distributed tracing has become essential in microservice applications, cloud-native and distributed systems.