This deliverable explores state-of-the-art literature and technological solutions that are of interest and that are used to design and implement the EFRA architecture, which we remind must prioritize environmentally conscious operations. In Chapter 3, the consortium embarked on a literature review focusing on open-source software principles, various paradigms such as distributed, cloud, and edge computing, and the concept of micro-service-oriented architecture. This chapter also touches upon general research works regarding scheduling and reallocation techniques aimed at promoting greener operations. These are all pivotal subjects for the design and implementation of the EFRA architecture. In Chapter 4, the consortium justifies why Kubernetes has been selected as the container orchestration system for the EFRA platform, elaborating on its foundational concepts and, at the same time, highlighting how its choice can satisfy the requirements that have been introduced in the Deliverable 1.1 and that the EFRA platform needs to fulfill. In Chapter 5, the consortium provides a demonstrator for the Core EFRA Platform. Specifically, it presents a demonstrator for the activity of creating and configuring the EFRA cloud infrastructure with all the required resources and components and includes code snippets as well as links to components deployed on the platform. In Chapter 6, the consortium evaluated results and technological solutions from other relevant projects that might be used, reused, or extended in designing and implementing the EFRA platform. In particular, this chapter focused on the results of H2020 TheFSM (The Food Safety Market) project (Grant Agreement number: 871703). Subsequently, Chapter 7 sees the consortium examining Kubernetes-related literature and technological methods geared towards facilitating greener, hardware-conscious scheduling and reallocation strategies, which addresses the EFRA platform’s third requirement. In the same chapter, the consortium also ventured into greenaware monitoring solutions compatible with Kubernetes. Finally, in Chapter 8 the consortium conducted a review on the Kubernetes-related literature and technological solutions that can be employed to perform distributed and federated learning within the EFRA platform, thus addressing the fifth requirement.