Zededa creates a new architecture for the edge

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Any connected computer could become a platform for Zededa’s distributed cloud.

Edge computing efforts are a dime a dozen nowadays, but after mocking the launch of Zededa a few weeks back for its buzzword-heavy press release without any technical details, I talked to the company’s CEO, Said Ouissal. He explained exactly what the startup’s vision is, and it’s a pretty novel way to build applications that could run on any gateway device.

The overarching goal of the startup is to help companies put software on edge devices that can be run securely, with little expertise needed from customers. Those devices might be machines aggregating sensor data or traffic cameras monitoring a street. Ouissal sees each of these devices as a set of infrastructure with common traits, which means Zededa developers can build applications that can span many different devices — and needs.

Zededa’s approach is akin to how developing software for the cloud works today, except that with the cloud the underlying physical hardware is relatively similar. In the IoT world, there are seemingly endless different types of computing devices — from a $ 6 Pi-based computer to a powerful Xeon gateway. There’s also a big question as to whether one needs to build vertical solutions for the industrial world.

A large contingent of industrial IoT entrepreneurs are betting that customers want to buy hardware, software, and cloud services that are vertically integrated so they don’t have to manage complex IT sourcing for something that could become vital to their business. Zededa thinks heterogeneous hardware and existing customer hardware can instead be transformed into something that handles a wide variety of applications. It basically wants to become the Amazon Web Services built on top of millions of connected IoT devices.

To do this, Zededa is creating a software package that combines a hypervisor and a new concept in computing called unikernals. Unikernals are packages of software that contain an application and only the underlying operating system required to run that application. So if the application doesn’t need a file system, that gets jettisoned. The end result is very simple blobs of code (I’d call it a container, but that means something different).

A container, such as those offered by Docker or Kubernetes, provide everything a piece of software needs to run such as the OS, runtime, libraries etc. It’s more flexible than a virtual machine created by a hypervisor, but has more overheard than a unikernal.

The hypervisor is important as well. While newer IoT implementations might view hypervisors as a relic of the server era, there are millions of older connected computers running Windows operating systems that can’t be shoved in a container. For those, you need a hypervisor, says Ouissal. He’s not alone. Last week, The Linux Foundation released an open-source hypervisor designed for the IoT with contributions from Intel and others. It’s called ACRN.

These elements communicate exchange data with the machines they are on and also send information back to a cloud operated by Zededa. The blobs of code and the hypervisor help ensure that the applications that are accessing the edge device stay secure even if the device is tampered with, while the cloud governs the way applications run on the extended hardware devices.

Some of this approach reminds me of what Resin.io is doing with its ability to run containers at the edge, allowing customers to manage applications across their fleets of IoT devices in a way that’s closer to the way they can manage their applications across a cloud infrastructure. But a lot of this also feels very novel, such as the adoption of unikernals that allow software to run in constrained environments.

I’ve spent years trying to define an edge computing stack, and it shifts depending on who I talk to. The one constant, though, is that it’s trying to use existing technology to solve what feels like a very new computing paradigm. And I’m not using the word “paradigm” as jargon. Creating a trusted, secure, auditable, and manageable way to deploy software across millions of nodes is a very different challenge for computing. It really is a new paradigm.

I’m not sure if Zededa’s software is the right path forward, but when it launches later this year, I can’t wait to see how people build on it and with it.

Stacey on IoT | Internet of Things news and analysis

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Cloud-native platform for IoT edge apps Zededa closes $3.06M in Seed investment

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Zededa, a startup providing a cloud-native approach to the deployment, management and security of real-time edge applications closed $ 3.06M in Seed funding. Wild West Capital, run by Angel investors Kevin DeNuccio and Rich Nottenburg led the round. Almaz Capital also participated in the round.

There’s an increased trend of analyzing data close to the ‘edge’ or devices/systems that generate it. For some IoT apps, such as in self-driving cars and industrial robots, it perfectly makes sense to minimize or even eliminate the time it takes to transfer data to the cloud and then running analytics. However, Zededa takes a different approach to its solution.

“True digital transformation requires a drastic shift from today’s embedded computing mindset to a more secure-by-design, cloud-native approach. This will unlock the power of millions of cloud app developers and allow them to digitize the physical world as billions of ‘things’ become smart and connected.” ZEDEDA CEO and Co-Founder Said Ouissal

However, the startup hasn’t explained how it achieves the so-called ‘cloud-native’ approach of deploying and managing edge-apps. It appears Zededa is still going through the R&D phase as it will use the funding proceeds for continued research and product development, investment in community open-source projects, and sales and marketing.

The startup has lined up resources having experience in operating systems, virtualization, networking, security, blockchain, cloud and application platforms. Its investors have previously funded IoT startups including Theatro and Sensity Systems (now Verizon).

As billions of devices and sensors get internet connected, there are a number of startups branching out in edge-domain. Losant, an edge-to-analytics platform for enterprise IoT customers raised a $ 5.2M Series A round. Interestingly, Losant was backed by Rise of the Rest, a seed-stage fund backing startups outside Silicon Valley, New York, and Boston area. The fund is backed by Eric Schmitt, Jeff Bezos, Meg Whiteman, Michael Bloomberg, and Reid Hoffman and other investors who believe innovation and next-gen technologies need not come from Silicon Valley and that’s why they’re betting on areas outside the Valley.

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