Remove Azure Remove Fashion Remove Google Cloud Remove Serverless
article thumbnail

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.

article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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).

article thumbnail

New Azure Courses and Hands-On Labs

Linux Academy

Azure training is at the top of our most-requested list, so we are proud to announce that we’re addressing the demand. We have opened multiple positions for Azure experts and are looking to hire more Azure content creators. Provision a SQL Data Warehouse Instance in Azure. Creating an Action Group in Azure.

Azure 21
article thumbnail

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.

Agile 81
article thumbnail

Demystifying MLOps: From Notebook to ML Application

Xebia

Most enterprise ML platforms (Vertex AI, Azure ML, Sagemaker) integrate with MLflow. Therefore, we will deploy our solution to one of the cloud providers ( Azure , GCP , AWS , or others). In the tutorial we show how you can get service account credentials for Azure and GCP. So how does it fit in the process?

article thumbnail

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.