Yeah, okay. So when I was finishing high school, I was thinking I wanted to study something
at university but I wasn't sure what. But it's not very yet. So a friend of mine said
to me, since you can spend hours at your laptop, that time there were no letters. So
you could spend hours in front of the computer. So why don't you study computer science?
That was quite a lack of self-awareness for me, but she was right. And that was the beginning
of my professional career. And now I still spend many hours at the computer, just everything
is much more complicated with trying to straddle in with pods and nodes and clusters.
So because my first encounter with the computers was with the home computers, that
was much simpler.
Okay.
And while I go, my daughter, who is 12, and is she's in the audience, but I will not point
at her because she will hit me. She will never come and get back again. She said to me,
what is it that you're doing at the computer all the time? Whatever it is, I don't want
that, I don't want to do that when I grow up. It was painful, but it kept me thinking,
what is it that I'm doing? Because apart from our imaginary world with all these obstructions
and objects and layers, there's a real world, which I see everyday reading the newspapers.
There are wars, there are effects of the climate crisis, and there's human rights being violated
in the name of tech. So I said, what am I doing to make this better? And actually, there's
a lot I can do from my place. And there's a lot you can do as well, I realize. So that's
why we're here, to convince you that you can do something better because a question for everybody.
Have you ever found that you were running instances that shouldn't be running anymore that we're not
needed? Okay, that's a lot of people are nodding, so I think. And so are I, and this is very common,
and much more common than you think. From a study, then last year, by cast AI, it was found that
it is clusters, there was only 13% of the CPU was being utilized, and only 20% of the memory.
So this leaves a lot of room for improvement. This means, this can mean that a lot of energy consumed
for nothing, a lot of emissions generated, also for nothing. Imagine a car driving, all the
times taking nobody nowhere. That's what we have. So we can do something. We can start looking
at what we have, and we can start measuring, and we can optimize. This is something where there's
a lot of tools and open source projects that you can work with to improve. So, for example, for
optimizing, at the end of the slides, if you want to have more references, there are links to projects, but you can apply
best practices, auto scaling, right size, your applications, even run them at the right moment when
there's renewable energy. And we are going to talk about two projects where we are involved with our open source,
and you could also contribute to that, which specifically help to measure your emissions.
And, yeah, don't forget to celebrate your improvements. I'm going to leave you, yes,
starting with the real part. Yes, I'm going to talk about the open source tool guide.
Kubernetes emissions inside too. This is the dashboard. Yeah, this is the main part of the dashboard.
On the left side, we have the energy consumption of the Kubernetes cluster. So, it's
how much you use this is for two days. And you can drill in for all the pots or all the notes. You can completely see what's
the next part is about the carbon intensity of that period. So, in which location do you get is the energy generated in this case in Ireland,
and for which period for two days is the second one is the embodied emissions. So, that is the
emission generating during the creation of the server, and of the transportation of the server to the data center,
and after that to recycle the hardware. So, that's that's part of the third part.
Sorry, this is the embodied two laptops. And the last one that's all about this equation is the
so-for common intensity equation. It's an isus standard since last year. So, what you do is you multiply the energy
times the carbon intensity plus the embodied, and that is your Gramsier 2 equivalent of that period.
And in this case, it's 25,000 Gramsier 2 equivalent for two days for this cluster. And it's around 50 notes that it's scaling.
So, it's 20, 15. What does that mean? Do you know how much it is compared for an airplane flight, like I'm telling you.
For a year, yeah, it's so loving. Now, for this translates two days of 50 notes,
round is 200 to 3 kms airplane, average airplane flight. So, that's from Amsterdam to Brussels,
to have a slight idea. How is Skype build-up? It's a Kubernetes cluster. So, it's around some
period. Kubernetes, what you saw is a graphana dashboard. You saw a little part of it,
but it gets its data from from media. It gets its energy from the Kepler exporter.
It gets from the kernel with EDPF, the grid intensity. So, the electricity generated is from grid
the grid intensity exporter. It's from the green sofa foundation. And we use the electricity maps API.
There are other APIs. There are also the watt, time API in the ember, some can choose.
It also depends on the region for the Netherlands. It's very accurate, but for other countries, it can be an estimation.
The bottom one is by our Fista exporter. That's running locally as a database, all kinds of sheriffs.
So, it knows all about AWS sheriffs or Headstone sheriffs. You can look at them up, but the embodied is.
There are other opportunities. If you're running really Kubernetes, you might have to look at the green refuse to the aim is there to estimate and track the
emissions of CNCF products. It's part of the environmental sustainability tech technical advisory group.
And Flapia is on the picture. So, they are both contributing there. They are always looking for new contributors.
Please, we welcome. Yeah, they currently have a CSD pipeline. They run CNCF products through the pipeline.
And they measure the CNCI, the sofa carbon intensity rate of this product.
So, if you want to contribute, look up the slack and CNCF. But now what can you do?
Yeah, being here is very, very good. So, you're interested in the subject, probably maybe you're already doing something or contributing to some of the source project. So, that's, thank you.
Yeah, make it part of your system. If you design a new product or a new sofa or you're running an up sofa, look at one move.
Yeah, make it part of your system is sustainability, sofa, good sofa practice. Yes, it is. Make it part of you.
Start a proofing by first measuring, improve, measure again, see what it gains.
Becoming a visitor at your own community company. So, talk about it. So, people more be aware of it.
And please consider it. There are a lot of open source. Yeah, in its tips. So, please join.
Yeah, and maybe just maybe our kids will also be active after the agriculture game.
And we're going to really sustainable cloud that we are helping.
Thank you. We have some slides with some useful links, but it's online. So, you can look it up.
One question. Yeah, the CNCF project seems very interesting. If I have a project which is not inside of the CNCF, can we collaborate to get it reviewed?
Yeah, the question is, if you have a project outside the CNCF, can you also come to the CNCF and collaborate?
So, for nowadays there's a tech environmental sustainability where people in the CNCF get together to promote sustainability in the communities or in the CNCF environment.
If it's anything related to Kubernetes, yes, it's very welcome. I mean, green reviews are specific, it has a specific goal. If you have other projects you can come and talk.
The midies are two every two weeks. Anyone can join. Yeah, please come. Thank you.
Thank you.