How to choose a cloud IoT platform

IoT, the Internet of Things, is currently one of the most hyped concepts in the computing world. Cloud IoT platforms may even exceed IoT on the hype scale. Nevertheless, both have real applications and could become important to your business. In this article we’ll define IoT and cloud IoT platforms without too much technical detail, then discuss what you need from a cloud IoT platform and how to choose one.

The simple explanation of IoT is that it is physical things connected to the internet. These things can have sensors that measure various parameters and send their data over

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The Internet of Things in 2020: More vital than ever

If you work in IT, you’re probably safely ensconced at home right now, clinging to your laptop at the edge of your company’s network. The shift from office to home has been momentous. But it’s also symbolic of a larger trend: The network edge has become as important as the network core. Remote workers aside, the IoT (internet of things) is the biggest reason why the edge has become so crucial.

According to Gartner, a crazy variety of some 21 billion connected “things” are at this moment collecting data and performing all sorts of tasks. The majority are consumer devices,

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Prepare for the future of distributed cloud computing

Distributed cloud, according to Gartner, “is the distribution of public cloud services to different physical locations, while the operation, governance, updates, and evolution of the services are the responsibility of the originating public cloud provider.” That’s “analyst speak” which means we’re moving from centralized to decentralized cloud computing solutions. But we need to still maintain centralized control.

If this is true—and it’s certainly a trend—then we need to be prepared for the distribution of physical processes, storage, and applications, with management, monitoring, security, and governance management layers that will make these complex distributed systems cloudops ready.

By the way,

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Spell machine learning platform goes on-prem

Spell, an end-to-end platform for machine learning and deep learning—covering data prep, training, deployment, and management—has announced Spell for Private Machines, a new version of its system that can be deployed on your own hardware as well as on cloud resources.

Spell was founded by Serkan Piantino, former director of engineering at Facebook and founder of Facebook’s AI Research group. Spell allows teams to create reproducible machine learning systems that incorporate familiar tools such as Jupyter notebooks and that leverage cloud-hosted GPU compute instances.

Spell emphasizes ease of use. For example, hyperparameter optimization for an experiment is a

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11 tools that make Kubernetes better

Few computing platforms—even those of great power and scale—satisfy every need as-is. While Kubernetes is useful out of the box, it’s far from complete. You can always find a use case or a need where the default Kubernetes feature set falls short, such as database support, or simply ignores, such as continuous delivery.

That’s where the broader Kubernetes community comes in, with add-ons, extensions, and bonus goodies for the container orchestration framework. Here are 11 of the top Kubernetes companions we’ve found. Some will complement any Kubernetes cluster, while others address specific needs that stock Kubernetes doesn’t address.

Gatekeeper: Kubernetes

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IBM’s new CEO lays out his roadmap

Newly appointed IBM CEO Arvind Krishna helmed his first IBM Think conference this week—via streaming video, due to the ongoing global pandemic. In his keynote, he took the opportunity to reassert his belief that “hybrid cloud and AI are the two dominant forces driving digital transformation today.”

Unsurpisingly, many of the subsequent announcements at the conference hinged on hybrid cloud, enabled in large part by IBM’s $34 billion acquisition of Red Hat in 2018.

Take the technical preview of IBM Cloud Satellite. This product “extends cloud services to anywhere a client needs them, as-a-service, on-premises or at the

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