Automation of Edge Datacenter Infrastructure
Teodoro Corbo
Automation of Edge Datacenter Infrastructure.
Rel. Fulvio Giovanni Ottavio Risso. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
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Abstract
Cloud-native technologies, marked by their inherent flexibility, scalability, and cost-effectiveness, have revolutionized the IT infrastructure landscape of large-scale organizations, especially major telecommunications companies (telcos). Among these technologies, Kubernetes (K8s) has emerged as a leading platform for managing containerized workloads and services. This shift to cloud-native solutions becomes crucial for telcos seeking to efficiently manage growing data traffic and provide a wide array of services. One of the critical obstacles in this digital transformation journey involves the complexity associated with managing bare metal infrastructure, particularly in the context of multi-cluster environments at the network edge. This challenge underscores the importance of the work presented in this thesis.
Edge networks, situated closer to end-users and crucial for minimizing latency and quick data processing, often include multiple bare metal nodes interconnected by network switches
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