Cloudera

NOVEMBER 16, 2021

NiFi as a Function in DataFlow Service provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion. Functions as a Service (FaaS) is a category of cloud computing services that all main cloud providers are offering (AWS Lambda, Azure Functions, Google Cloud Functions, etc).

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Serverless Lambda Microservices KPI 112

Modus Create

MAY 15, 2023

Legacy databases can’t scale fluidly with your serverless functions, creating a major bottleneck in the scalability of your serverless application. Since it was an isolated feature, we created a separate Lambda function for it on AWS. In the AWS world, the go-to options for solving this issue would be DyanamoDB or Aurora Serverless.

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Serverless Lambda AWS Architecture 98

iTexico

APRIL 15, 2020

The second cloud migration is more than just replacing your hardware with virtual hardware. The real transformation is in the adoption of serverless architecture, microservices, workflow automation. iTexico recommended AWS Lambda, a highly dynamic and scalable serverless computing platform with pay-as-you-go and use service model.

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Lambda Serverless AWS Case Study 52

Stackery

MARCH 3, 2020

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. Then Virtual Machines (VMs) came about and for every server there were 10 VMs, each lasting about six months. Serverless Pragmatism.

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Serverless Lambda Infrastructure Insurance 52

Stacks on Stacks

NOVEMBER 1, 2018

Since I now have experience building developer enablement software out of virtual machines, container infrastructures, and serverless services I thought I’d share some of the key differences with you in this post. At its core, serverless development is all about combining managed services in the cloud to create applications and microservices.

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Serverless DevOps Microservices AWS 40

Existek

JANUARY 11, 2022

And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level. Azure leverages Virtual Machines that support on-demand computing.

Azure 52

Azure AWS Cloud How To 52

Prisma Clud

JUNE 20, 2023

Virtual machines (VMs) secure a solid 22% share, while both container as a service (CaaS) and containers contribute equally, each making up 18% of the overall workload ecosystem. Not All Applications Are Built the Same If only the cloud-native world consisted of containerized microservices on Kubernetes clusters.

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Cloud Development Team Review Serverless Linux 105