Remove .Net Remove Azure Remove Google Cloud Remove Lambda
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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. Microsoft Azure Overview.

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Why A VP Decided to Get Cloud Certified

Mentormate

NET and SQL. It is increasingly important, however, that it must run on a.NET Core Runtime in a Lambda serverless environment, and that my web UX will be built in React, Vue, or Angular and run as a static site hosted on S3. It doesn’t mean we have to learn new languages — an old.NET guy like me can still use C#/.NET

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Going Serverless: Comparing Cloud Providers

Gorilla Logic

The three cloud providers we will be comparing are: AWS Lambda. Azure Functions. 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. .

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Serverless and Edge Runtime

Apiumhub

Case in point calls to mind Brandon Minnick’s recent talk at NDC Oslo , in which he explains how he hosts the backends of his personal mobile applications on AWS Lambda (an extremely popular choice to host serverless functions), for less than the price of a single coffee, each month. It’s possible to do, but gets tricky.

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Highlighting the Latest Compute Security Capabilities in Prisma Cloud

Palo Alto Networks

With our latest update to Vulnerability Explorer, we’re enhancing our UI to better allow security and risk teams to quickly and easily prioritize risk across any cloud native environment. Serverless Security: Auto-Protect for AWS Lambda Functions. With this release, we support: NET Core 2.1. Python 2.7, Defender Auto-Upgrade.

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Data Lake 2.0: Building a Lightweight Data Lake in the Cloud

Altexsoft

You will also learn what are the essential building blocks of a data lake architecture, and what cloud-based data lake options are available on AWS, Azure, and GCP. Azure Data Lake. It supports programs written in R, Python,NET, and U-SQL. To build your lake in GCP, you need to use Google Cloud Storage as the base.

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Hack day experiments with the cloud and orchestration of serverless functions

Bernd Rucker

The plan was quickly drawn in my sketch book: And we prepared logins for some of the well known cloud providers: AWS, Microsoft Azure, Google Cloud, IBM Bluemix, Pivotal, Heroku and OpenShift. I tried Azure and Google and could easily provision my services on both and assign a public IP to my services with ease.