 Hello everyone, bon dia, Buenos dias, good day to you all. I'm talking to you from the San Francisco Bay Area in California. That's where this stream was initiated. And I'm going to probably take my picture out of the loop for the remainder of this talk. So sorry about that. But it just takes up too much screen real estate. My name is Kathy Jory. I work for Zedita. And today my talk is about tackling climate change with open source and data driven technology. You can see that a number of organizations and open source projects were involved in this case study that I'll be talking to you about today. So first of all, on the agenda is a case study. The focus of the first half of the talk is explaining how this bio digester in a remote location in Chile is doing sustainability of improving climate change by transforming waste to energy with some other beneficial byproducts. And the benefits of open source and industry support were very critical to enabling this technology to be remotely managed and visible and and tracked for the truthfulness of their operations. So the first half we'll talk about set up the case study. Second half we'll talk about how we we managed to support this project. First, what is bio digestion? I looked on the internet found a couple of examples where people have tried to either reduce the methane gas emissions or or or actually collect it from cattle. And cows basically, you know, they they eat plants, feed and water as their inputs and they produce things like milk, methane and, you know, urine and burner. So this is an example of natural bio digestion inputs and outputs. But we're not really here to talk about cows today. I'm talking about a cow friendly method of bio digestion, which is this bio digester in Chile that takes in agricultural residue such as all of the grape harvest residue a couple times a year, all sorts of bio solids from stabilized sludge and grocery store expires, and then manure liquid industrial waste organic residue from fisheries and meat processing industries. And this is the liquid down here in the left collection. And these are two of the solid collection sites. And with all these inputs, you get outputs such as liquid fertilizer, mulch, see a bunch of mulch up here and methane gas. The entire site is powered by the methane gas that it produces on site. They convert that to electricity that empowers the whole site. So you can see this is a little bit more cow friendly than the previous example. This is a hard to redesign, but you can kind of see that there's solids and liquids, transports and putting into these bins and so forth. And the takeaway of this page essentially is that there's many different sensors, level sensors, flow meters, measuring weights and the energy produced, and then other manual data that are tracked, you know, as how much the shipments that are received of these bio wastes and the sales and tracking of the outputs of the processing of the bio digestion. And it's really kind of a cool project to be asked me. So on the left, we have some images or renderings of the project. This is the dry waste facility inputs here and the liquid waste, I think is over here. This is an example of a gas flow meter. This is the pressure, one of the pressure sensors. And in these various tubes, they have these in in inline sensor systems. And here's, you can see some of the pressure visible output. Some of the real pictures over here on the right, including a little overhead, you can see it's in in the middle of an agricultural area. So it's very remote location, but fortunately it produces all its own power. So not a problem. And this location is in Molina Chile. And yet this plant has visibility through this dashboard online from many one anywhere on the internet. So they can now track these greenhouse emissions, greenhouse gas emissions and annual contributions with a data confidence score. So that's what we're going to talk about is this climate accounting, this method of using open source to track all these things. Digital MRV stands for digital digital measurement reporting and verification. It's a solution that's a standards bodies kind of type of solution for carbon accounting for the state of the art waste to energy facilities. And it supports the finance and carbon markets and these tracking of nationally determined contribution. So the Paris Climate Accord and these types of things. Each nation has some goals for for their climate change reduction. And these are national determined contributions according to some standards. So the measurement is is based on what the standard body determined is is needed to quantify the greenhouse gas emissions, the reporting, there's different types of ways of sharing the results in a standardized and auditable manner. And that verification, you know, the onsite and onsite teams are responsible for quality assurance and control. But there are third parties than that examine the truthfulness of the reported data. This also this this view here digital MRV and the data confidence fabric solution overview shows that not all your data has to be electronically automated, collected. So the green here is the automation from sensors that are onsite and the gray area of data here are things that they haven't digitized yet. So the feedstock weight and the truck mileage and the material types and diesel and photos miscellaneous, they're all fed in with a confidence store score by the ovarian server and then tracked all the way through the distributed letter technology Viota with these with these data's plus the confidence and then they show up on the digital MRV dashboard. That's how they came up with that confidence score at the end. And this, although the project I'm showing today is just one site and one tracking aspect, if you collect all the, you know, if we could produce a lot of biodegestion prelates, you could, you could summarize this up for whole countries in the whole world, essentially. The ultimate goal is the security and transparency of that data, proving that you're actually producing these methane capture methods. And the greenhouse gas auditor benefits, obviously, are the automation brings data to them faster, less expensively with objective and transparent and rigorous analysis. And finally one more eye chart on the goal of enabling these climate improvements to be profitable, you know, what better way to reduce emissions than to make it profitable for companies for landowners for businesses for agriculture for everybody to participate in this really necessary need to reduce our emissions and reduce the climate, the heating of the planet. So you've got the standards bodies have already done their work. Lots of great work. The digital system on site has already been developed. They, you know, according to the standards, they know what sensors and what things to track and then routing and networking. So stage two is measuring and securing those data, piping it over the internet to the digital MRV system, which further exports it for these online verification tracking reporting by the auditors. Ultimately, you've got an export of registries, markets, finance reports and certification that that brings it all together. You know, we want the sort of the oil and gas and sustainable energy markets and other types of markets. We want that for the climate in improvement markets as well. Now, that was sort of explaining the case study. And then I want to talk a little bit more detail about the use and benefits of how open source at the edge was an is enabling this project. It started off with Trevor Connor Dell. He took one of the Dell T 140 PowerEdge servers installed an install installation boot of the Eve project Eve image and flashed it onto the USB booted that Dell connected up with the Zdita remote Eve controller capability, which which was really needed for this remote access from anywhere. And then shipped that Dell off to Pablo on site in this remote location. And he plugged in the internet ethernet and a second ethernet port connected to a private only local network with static IP. So how that works is they the Zdita is in the cloud and that goes over the internet over TLS a secure link is set up between the edge node and the cloud. And then the application Dorel Chapman of Iota foundation deployed through the Zdita web user interface, his own applications that get deployed to the site via this TLS link, no one else really has access to talk to the box. And in fact, the box is completely locked down locally. So you don't need any IT staff locally. And then locally, it's connected up over one static IP network to this historian PLC SCADA some sort of system that pulls in all the sensor data. And the internet connection is used to bring that application data to the digital MRV system. So Eve is running on the hardware, what hardware it runs on doesn't really matter. It's best to have a TPM so you can do remote attestation of the boot and know nothing has been compromised. So there's a lot of great security features to Eve that I'm not going to go into today. But check out the project and you'll see how how strong basically best of breed security for the edge. And although many of us on the project would love to visit Chile, Durell's in Canada and Mads in Berlin and I'm in California, none of us have been there because we have remote access. You know, here's our IT administrator would be doing remote access on this on the device side, making sure it's up and running correctly and that the software that's supposed to be running is running. And then if it is running, then they'll see all this data show up on the digital MRV side, which is, you know, the operational technologist view of the world. And just describing a little bit about the flexibility of open source plus industry is typically at the core, you have things like Project Eve and Alvarium and IOTA foundation. This is going to be your abstraction layer or virtualization on the edge so you can deploy any software to it. Alvarium does the data confidence fabric SDKs quantifies data trustworthiness. And the IOTA foundation transfers and secures that data over the detangle, they call it the digital ledger technologies and it ends up on the digital MRV on the, you know, commercial side climate check and Zedita and Dell were are the commercial contributions to this project. But it's really, you know, in any business and industry you're using, you're using core software that's open source whenever possible. And then the business application, the ultimate analysis of things is usually done by commercial enterprises. So Eve locks down the bare metal securely. IOTA secures and routes the data. And Alvarium applies the confidence score so that the auditors know they can trust the source. Now I'm going to pull in a live demo, if I can hear of of the site in Chile of the node in Chile. So let me just click one more here. This is one of an example if you're not watching the video and you just see the the presentation, you'll see that guy right there. But I'm going to pull up the let's see, where did I go again? I need my page. Come on. Just a second. I lost my window. I need to find it. So control there we go. Alright, so this is a site in Chile, even though the IP address from IP info.io makes it seem like it's Miami the ISP. It's actually in Chile, trust me. And the edge node has a bunch of different pages on it when it's first booted, when it was last rebooted, all of the utilization, it sends the metrics, the logs, all sorts of tracking data periodically, even and it doesn't have to be an always on internet connection, it can go down and come back up and then provide the logs. So you keep track of them and intermittent networks and so forth and also work. And then it tracks what's running the applications and volumes that have been deployed to it. The basic info tells you the local IP address of the zero interface is the management interface. There's another interface, each one which is just shared by the applications. It's just an internal network. And you can look up various, there could be other sensors and actuators that use other adapters. The the IT person gets to track all of these things or make policies for all of these things. And then you get auditing of what things were done by a system and what things were done by a person. As you can see, the system is doing most of the changes based on the state of the network. And then what's going on on the application side is there's the Molina virtual machine and Darrell Chapman set all of this stuff up with the applications that are running on it. And you can see it's utilization, it's network rates. He has remote access over the VNC port on port 5900 in his browser. He could go up here and say, turn on the remote console and have access to it. And then he also gets the events, you know, if if he had the remote console start and end or started or stopped the application, you'd see all of that tracked and logged there. And then the adapters you see the application has access to both the internal static IP, which is the and this is mapped through the virtualization layer. And then also the internet, you can see a ton of data goes over the the IoT tangled, the IoT to tangle to the internet. Lots of data there. And let's see. And then there's in general, how is it he works is he's deployed one of these Ubuntu cloud application. This is what Dorel deployed you set up the inputs and outputs of the environment. And there's some custom configuration that was added. So he could create a secure login over the VNC. And you can deploy, you know, many different applications at the same time. There was some others here that are tracked, or you can create your own with the library. So some of these were containers that when we first set this up, we were used testing with the container itself, but the virtual machine offered a little more flexibility. In the libraries where you set up all the networks, the network instances of the DHCP network and the static IP network, data stores are where these some of these applications can be pulled from various Eve images. We use some ones that had some debug scripts that we can access remotely, but normally they're totally locked down. And then some of the app images that are available, and you can set up volume instances that allow the software to be on the box before you even ship it. So that's also useful. In the end, there's reports you can do my kind of my favorite report is looking at network utilization. That's the screenshot I had. And so like over the last 24 hours, we can take a look at you can see when the transmissions were, you know, going out in bulk periodically where the top talkers are. And then the flow log, you can see where traffic flows and you can look up, you know, specific types of flows. And some are, you know, domain names will show up and others are just simply IP addresses. So this is a type of metrics that are constantly being recorded from the edge node by the Zidida system. So that's enough of a look for now. You can also do Kubernetes clusters. None of those are set up right now, but it's all been running happily and we don't really need to touch it much. So let's go back to slideshow mode here. So again, that was the network flow. And here we're all ready to the summary of the project. In summary, I've got some useful links to show the different organizations involved and hyperlinks to access them. And then that's, you know, the application software and data processing. If you're on the operations side of technology, you might probably interested in these. If you're on the IT world side of technology, you're probably interested in the device and industry support from Zidida Dell and Eve, Project Eve is all open source software on GitHub, which is linked to from the LF edge.org project Eve link. It links to all those other sites. And a summary in a little more graphic form of the solutions and partners is we've got this Dell server running the open source Evo software. It's managed and controlled only by Zidida's back end system, which anyone has access to for like Durell and Matt and anyone. Dell helped with some of the Avalorium, Avalorium SDKs and Project Delvarium. These are both Linux foundation edge projects. And then the Iodif foundation been key, key in the role of this, this specific bio digest your plant and also working with climate check for the digital MRV platform for data confidence integrations. So I'd like to thank all the contributors to the project and thank the audience for listening. And I'm not planning on using my whole time. So I can I'll be online through the internet during the actual live conference and hope to answer some of your questions and answers and contact me and just hope you enjoy the rest of the conference. So thanks for joining and have a great rest of your day.