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Overview of cloud-native transformation and enterprise cloud strategy, with a focus on Microsoft Azure services. One source briefly references Cloud Native Computing Foundation (CNCF) case studies and a mention of Mia-Platform in a Gartner Emerging Tech Impact Radar report. The main bulk of the information comes from a document detailing cloud transformation, which discusses Agile methodologies, the importance of defining system architecture upfront, and an array of cloud-native concepts such as containerized apps, dynamic scheduling, continuous deployment, and the role of private and public clouds. This source also explores cognitive biases that can impede cloud adoption, such as the Status quo bias and the Hostile attribution bias. Finally, the text excerpts from Enterprise Cloud Strategy cover the macroeconomics of the cloud, different "as-a-service" models (IaaS, PaaS, SaaS), the process of cloud migration and portfolio prioritization, and the strategic use of advanced features like AI, machine learning, and IoT within the cloud ecosystem.
By Technology OGOverview of cloud-native transformation and enterprise cloud strategy, with a focus on Microsoft Azure services. One source briefly references Cloud Native Computing Foundation (CNCF) case studies and a mention of Mia-Platform in a Gartner Emerging Tech Impact Radar report. The main bulk of the information comes from a document detailing cloud transformation, which discusses Agile methodologies, the importance of defining system architecture upfront, and an array of cloud-native concepts such as containerized apps, dynamic scheduling, continuous deployment, and the role of private and public clouds. This source also explores cognitive biases that can impede cloud adoption, such as the Status quo bias and the Hostile attribution bias. Finally, the text excerpts from Enterprise Cloud Strategy cover the macroeconomics of the cloud, different "as-a-service" models (IaaS, PaaS, SaaS), the process of cloud migration and portfolio prioritization, and the strategic use of advanced features like AI, machine learning, and IoT within the cloud ecosystem.