Devconf.cz 2023

The Meetup session will introduce the Kepler Operator and demonstrate how to install it on a cluster. The session will also explain how to use the Kepler Model Server for online training of models that will be used by the Kepler Estimator to estimate energy consumption of nodes and workloads running on them. The session will cover downloading, training, and sharing models with the community by uploading them to an external repository. Attendees will have the opportunity to ask questions about Kepler and share their feedback on the tool.

The Kepler Operator is a Kubernetes Operator that simplifies the deployment and management of the Kepler stack. It provides an easy way to deploy the Kepler Model Server and the Kepler Estimator, which are the core components of the Kepler stack. The session will cover the installation process for the Kepler Operator and how to use it to deploy the Kepler stack.

The Kepler Model Server is a tool for online training of machine learning models. It enables users to train models on streaming data and continuously update the models as new data arrives. The Kepler Model Server can be used to train models that estimate energy consumption of nodes and workloads running on them. The session will demonstrate how to use the Kepler Model Server for training energy consumption models.

The Kepler Estimator is a tool for estimating the energy consumption of nodes and workloads running on them. It uses machine learning models trained by the Kepler Model Server to estimate energy consumption. The session will explain how the Kepler Estimator works and how to use it to estimate energy consumption.

The session will also cover how to download, train, and share models with the community. Attendees will learn how to download pre-trained models, train models on their own data, and upload models to an external repository for others to use.

Attendees will have the opportunity to ask questions about Kepler and get answers from the presenters. They will also be able to share their feedback on the tool and suggest improvements or new features.

Finally, the session will be opened to hear about what other people are doing to enable sustainable and green computing. Attendees will have the opportunity to share their experiences, best practices, and challenges in achieving sustainable and green computing. This part of the session will enable attendees to learn from each other and build a community of practice around sustainable and green computing.