Remove Development Remove Events Remove Google Cloud Remove Lambda
article thumbnail

AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. A subsidiary of Amazon, AWS was launched in 2006 and offers on-demand cloud computing services on a metered, pay-as-you-go basis. Google Cloud Platform Overview.

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. This is the first complete no-code, no-ops development experience for functions, allowing users to save time and resources. .

Insiders

Sign Up for our Newsletter

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

article thumbnail

Going Serverless: Comparing Cloud Providers

Gorilla Logic

The three cloud providers we will be comparing are: AWS Lambda. Google Cloud. In order to compare these cloud providers, we have chosen a set of focal topics for you to consider: . AWS Lambda. Pricing: AWS Lambda (Lambda) implements a pay-per-request pricing model: Meter. . Azure Functions.

article thumbnail

How a Serverless Architecture Can Help You Secure Cloud-Native Applications

Tenable

Cybersecurity teams often struggle with securing cloud-native applications, which are becoming increasingly popular with developers. Cloud-native architecture has opened up new avenues for developers, bringing individual components out of monolithic server configurations and making them readily available as consumable services.

article thumbnail

Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

Agile 82
article thumbnail

NiFi as a Function in DataFlow Service

Cloudera

This is particularly powerful whenever the use case is event driven and there is no need for NiFi instances to always be up and running. For people not familiar with NiFi, NiFi as a Function in DataFlow Service enables the first no-code UI allowing developers to take control of the full lifecycle of functions. Event driven use cases.

article thumbnail

5 Questions to Ask Before Going Serverless

Modus Create

The below Google Trends graph (which tracks what people search for over a period of time) aligns perfectly with what we are hearing from our clients. Keyword searches for serverless | source: Google Trends Serverless architecture allows developers to create products without managing the underlying infrastructure.