When transitioning your skillset from on-premises to a more hybrid cloud environment, you have to also transition your management techniques from GUI and One-Off solutions to a more reproducible Automated environment. Learn the ins and outs of Azure Automation Services and the new Automation Script Gallery. Leverage existing scrips or publish your own for others to use in their environments. Looking to take this to the next level – bring in some new DesiredStateConfiguration skills to standardize, configure and maintain your deployments at scale in the cloud.
In questa sessione saranno discusse le peculiarità dei due principali stack di virtualizzazione (VMware vSphere e Microsoft Hyper-V) partendo dai concetti chiave di ciascun prodotto, dalle diverse funzionalità (e degli equivalenti in ciascun mondo), fino a discutere delle problematiche di conversione Virtual to Virtual (V2V) tra un ambiente e l'altro. Infine saranno discusse alcune soluzioni di gestione e monitoraggio multi-hypervisor.
Bring your laptop to this session! Azure Machine Learning Studio simplifies machine learning experimentation. In this hands-on tutorial, we will go through the end-to-end process of building, evaluating, fine-tuning and deploying a scalable predictive modelling web service using Azure Machine Learning Studio. By the end of the tutorial, attendees will have a deployed predictive modeling UI of their own, similar to one of these: http://demos.datasciencedojo.com/. All attendees will go through the following hands-on exercises:
• Exploring, visualizing and cleaning a dataset • Building and fine-tuning a predictive model • Evaluating and comparing predictive models • Deploying a predictive model as a full managed, scalable web service • Exposing the deployed predictive model as a web UI.