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INFN has been running a distributed infrastructure (the Tier-1 at Bologna-CNAF and 9 Tier-2 centres) for more than 20 years which currently offers about 150000 CPU cores and 120 PB of space both in tape and disk storage, serving more than 40 international scientific collaborations. This Grid-based infrastructure was augmented in 2019 with the INFN Cloud: a production quality multi-site federated Cloud infrastructure, composed by a core backbone, and which is able to integrate other INFN sites and public or private Clouds as well. The INFN Cloud provides a customizable and extensible portfolio offering computing and storage services spanning the IaaS, PaaS and SaaS layers, with dedicated solutions to serve special purposes, such as ISO-certified regions for the handling of sensitive data. INFN is now revising and expanding its infrastructure to tackle the challenges expected in the next 10 years of scientific computing adopting a “cloud-first” approach, through which all the INFN data centres will be federated via the INFN Cloud middleware and integrated with key HPC centres, such as the pre-exascale Leonardo machine at CINECA. In such a process, which involves both the infrastructures and the higher level services, initiatives and projects such as the "Italian National Centre on HPC, Big Data and Quantum Computing" (funded in the context of the Italian "National Recovery and Resilience Plan") and the Bologna Technopole are precious opportunities that will be exploited to offer advanced resources and services to universities, research institutions and industry. In this paper we describe how INFN is evolving its computing infrastructure, with the ambition to create and operate a national vendorneutral, open, scalable, and flexible "datalake" able to serve much more than just INFN users and experiments.

iTHEPHY is an EU strategic partnership ERASMUS+ project aiming at developing innovative student-centred Deeper Learning Approaches (DPA) for students enrolled in particle physics master’s degree programmes. This paper describes the iTHEPHY project status and main goals attained, with a focus on a web-based virtual environment developed to support groups of students and teams of teachers during their DPA learning and teaching activities. The platform is described in detail, focusing on the methodologies and technologies which enabled to deliver a modular, user-friendly, open-source, scalable and reusable platform. Identity and Access Management are the building blocks installed for the iTHEPHY project. Different configurations of services in the cloud will be also covered.

The LHCb experiment at CERN will have an on-line trigger farm composed of up to 2000 PCs. In order to monitor and control each PC and to supervise the overall status of the farm, a farm monitoring and control system (FMC) was developed. The FMC is based on distributed information management (DIM) system as network communication layer, it is accessible both through a command line interface and through the Prozessvisualisierungs und Steuerungssystem (PVSS) graphical interface, and it is interfaced to the finite state machine (FSM) of the LHCb experiment control system (ECS) in order to manage anomalous farm conditions. The FMC is an integral part of the ECS, which is in charge of monitoring and controlling all on-line components; it uses the same tools (DIM, PVSS, FSM, etc.) to guarantee its complete integration and a coherent look and feel throughout the whole control system. Index Terms--Command and control systems, data acquisition, monitoring, on-off control, SCADA systems, software tools.