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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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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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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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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. Developers have been trying to get away from having to manage infrastructure for years. 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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Fargate vs. Lambda: The Battle of the Future

Dzone - DevOps

Lambda has recently been a trending topic in the serverless space. Fargate and Lambda are two popular serverless computing options available within the AWS ecosystem. While both tools offer serverless computing, they differ regarding use cases, operational boundaries, runtime resource allocations, price, and performance.

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DZone Repost: Testing Serverless Functions

OpenCredo

This blog was first published on DZone. Serverless computing, or functions-as-a-service, has picked up a lot of attention and speed due to its cost-effective pay-as-you-go price offering, multi-language/runtime support, as well as its easy learning curve without any need to provide the infrastructure layer. Cost of Change.