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NiFi as a Function in DataFlow Service

Cloudera

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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Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

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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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5 Questions to Ask Before Going Serverless

Modus Create

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. For example, switching from a standard AWS cloud instance to Azure is not easy.

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Why Kubernetes If It Makes Your Life Worse?

ParkMyCloud

Soon, there were thousands of articles, tweets, blog posts, and conference talks about moving to a microservices architecture built on containers using Kubernetes to manage the pods and services. Serverless became the new thing, but those who put their eggs in the Kubernetes basket resisted the shift from containers to functions.

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New live online training courses

O'Reilly Media - Ideas

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Scalable Data Science with Apache Hadoop and Spark , July 16. Azure Architecture: Best Practices , June 28. Microservices Architecture and Design , July 8-9. Microservice Decomposition Patterns , August 6.

Course 64
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Scalable Data Science with Apache Hadoop and Spark , July 16. Azure Architecture: Best Practices , June 28. Microservices Architecture and Design , July 8-9. Microservice Decomposition Patterns , August 6.

Course 50