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5 Questions to Ask Before Going Serverless

Modus Create

When serverless architecture became all the rage a few years ago, we wondered whether it was just marketing hype. Was serverless really cloud 2.0 Serverless architecture’s popularity has risen over the past 5 years. While serverless brings immense benefits to businesses, it’s important not to rush into it.

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Announcing GA of DataFlow Functions

Cloudera

Today, we’re excited to announce that DataFlow Functions (DFF), a feature within Cloudera DataFlow for the Public Cloud, is now generally available for AWS, Microsoft Azure, and Google Cloud Platform. DFF provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion.

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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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New Azure Courses and Hands-On Labs

Linux Academy

For example, in Azure, if a learner is expected to learn how to troubleshoot a network setup, should the learner first set up the network in a broken fashion? This goes for all of our content categories: Security, AWS, Google Cloud, Containers, DevOps, Serverless, Data, Linux, Azure, and soon, more!

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World Wide Wasm: Low Hanging Fruit

Xebia

The no-brainer equivalent on the server is (ironically) serverless computing, specifically FaaS. This is especially true if you consider the scale at which the serverless platform providers typically operate. What Does Serverless Wasm Look Like? What Makes It a No-Brainer? It is known as the Wasm Interface Type (WIT) format.

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Demystifying MLOps: From Notebook to ML Application

Xebia

Therefore, we will deploy our solution to one of the cloud providers ( Azure , GCP , AWS , or others). Several of these providers offer “serverless” deployment options, but we’ll refer to those as “servers” in the following, as they still require a physical machine to run your code.

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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

When a draft is ready to be deployed in production, it is published to the Catalog, and can be productionalized with serverless DataFlow Functions for event-driven, micro-bursty use cases or auto-scaling DataFlow Deployments for low latency, high throughput use cases.

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