Computing

Getting started with Azure Remote Rendering

Microsoft’s mixed reality HoloLens 2 headset is now shipping, offering improved image resolution and an increased field of view. It’s an interesting device, built on ARM hardware rather than Intel for improved battery life and focused on front-line workers using augmented reality to overlay information on the real world.

What HoloLens 2 can do is amazing, but what it can’t do might be the more interesting aspect of the platform and the capabilities that we expect from the edge of the network. We’re used to the high-end graphical capabilities of modern PCs, able to render 3D images on the

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How to value cloud-based open source software services

The public cloud and open source software are pretty much coupled these days. No matter if you’re running Kubernetes as a service, MySQL, Linux, or that open source text editor you’ve used since college, it’s all there for the taking, as a service.

However, it’s really not free. Cloud providers charge for usage, either by time or other resource-units consumed. Indeed, it’s half or more of the cloud computing bills I’ve seen recently.

Some enterprises have not yet used open source on premises, not to mention cloud. Now that they are moving to the public cloud, both developers and infrastructure

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The future of serverless everything

Sometimes I think we’re overdoing it with serverless. Once it was a handy platform that saved you from having to size server resources correctly and that removed resources when no longer needed. Today it’s a catchall that has different meanings depending on its applications and who’s provided serverless as a service on the public clouds.

I’m seeing some obvious trends that enterprises may be able to exploit. Here’s a head up.

It’s a Kubernetes world, and serverless is now well represented. Kubernetes has become the de facto open source container cluster and orchestration platform. Its movement to serverless was a

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Google Cloud Anthos now available for AWS, with Azure to follow

Google Cloud has announced that Anthos — the company’s software for deploying and managing Kubernetes workloads across multiple on-prem and cloud environments — now supports running workloads on rival cloud platform Amazon Web Services (AWS), with Microsoft Azure support still in preview for now.

Speaking to InfoWorld, Jennifer Lin, vice president of product management at Google Cloud, said the delay in Azure support was simply down to internal engineering resources and “market demand” making AWS a higher priority for customers than Microsoft’s cloud.

Google Cloud was planning on announcing the news during its big Cloud Next conference earlier this month,

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The new normal: A step-by-step guide for the enterprise

For the last several weeks, enterprises have battled the ripple effects of the pandemic. This often meant having employees work at home when it was once not allowed. Cloud computing uses that were still being debated in the halls of corporate IT before the crisis suddenly became reality. One clear theme: The enterprise must rely on public cloud-based platforms and services to ensure its future in the new normal.

With that theme in mind, here are a few steps to implement a successful transition:

Step 1: Realistically assess the existing problems and most probable near-future damages

From a business perspective,

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14 ways AWS beats Microsoft Azure and Google Cloud

There are many good cloud companies that do a perfectly good job. You click and they deliver a root login to a running instance. All of them are good. Some even have areas where they’re the best. None of them, though, manage to measure up to the breadth and depth of Amazon.

The reason is simple: AWS has built out so many products and services that it’s impossible to begin to discuss them in a single article or even a book. Many of them were amazing innovations when they first appeared and the hits keep coming. Every year Amazon adds

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