IoT contributes to the destruction of this planet. Locked down devices and systems lead to more electronic waste. In order to do our part of moving human society to sustainability, we have to address it. This talk goes over an approach how to solve these issues.

People are buying EVs, installing solar panels, cycling and walking more, all to help reduce their energy footprint and reduce their carbon emissions. But what about developers and architects and the systems we design and build. How can we rethink how we design, build and deploy our applications so that we can reduce our carbon footprint? In this session I will share how moving to the cloud and modernising your applications are two great ways of helping you to increase the efficiency of the resources your applications need, and help you reduce your carbon footprint.

In our day-to-day private life we are aware of the small steps we can take to reduce our carbon footprint, like separate our waste, etc.
In software development we can take similar small steps to create a better environment.
In my talk I will raise awareness: what's the size of the carbon footprint in software development, what’s the impact now and in the future, how can we measure that and make it visible?
As a quality consultant I am aware that not only the functional aspects of an application are subjects that are important and must be tested, but also a set of non-functionals. In my talk I want to argue that it is environmentally necessary to take the carbon footprint creation into account as a non-functional requirement when performing a product risk analysis.
Furthermore I will present useful tools that a software tester can use to indicate the carbon footprint created by IT, and will offer simple, useful tips to help reduce the carbon footprint when creating software solutions.

ML models are becoming larger and more complex. Because of the energy and resources they require, their carbon footprint is increasing sharply. In this session, learn how to optimize your AI/ML workloads for sustainability using architectural best practices from AWS Well-Architected. Learn about practical measures you can deploy today to reduce the environmental impact of your models at all steps of the ML lifecycle.The key takeaways are:-The role of AI/ML in sustainability challenges-How to optimize ML workloads for sustainability-Optimizing along the ML lifecycle-Sustainability transformation

It’s 2023 and everyone is talking about green energy, renewables, bitcoin farms, climate agreements and climate change, but, have you ever thought about the weight that a single client server application can have on this climate war we are all fighting?

It is time to recognise that not every issue has the size of an elephant and we can actually change the world with so fewer steps than we imagine.

Join me and discover how Internet is among the producers of most of the CO2 released each year. Let’s fight climate change, one div at a time.