Empezá a trabajar en la nube
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Presentación dada como parte del programa "Programá tu Futuro" del Gobierno de la Ciudad de Buenos Aires.
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Empezá a trabajar en la nube
- 1. Guillermo Bellmann Microsoft Azure MVP Cloud architect - Nubimetrics @gjbellmann Germán Küber .NET Developer - Majestic @germankuber
- 7. Tipos de nube Privada (On-Premise) Infrastructure as a Service Platform as a Service Storage HW del Server Networking Servers Bases de datos Virtualización Runtimes Aplicaciones Seguridad e Integración Storage HW del Server Networking Servers Bases de datos Virtualización Runtimes Aplicaciones Seguridad e Integración Storage HW del Server Networking Servers Bases de datos Virtualización Runtimes Aplicaciones Seguridad e Integración Nosotros Proveedor Proveedor Nosotros Nosotros Software as a Service Storage HW del Server Networking Servers Bases de datos Virtualización Runtimes Aplicaciones Seguridad e Integración Proveedor
- 8. Patrones de Cloud Computing
- 9. Scale Up vs. Scale Out Scale Up Varía el tamaño de la VM 1 Core c/ 1.75 GB RAM 2 Cores c/ 3.5 GB RAM 4 Cores c/ 7 GB RAM Scale Out Varía la cantidad de VMs Max 3* instancias Max 10 instancias Max 20/50** instancias
- 12. Amazon Web Services regions
- 14. Platform Services Infrastructure Services Web Apps Mobile Apps API Apps Notification Hubs Hybrid Cloud Backup StorSimple Azure Site Recovery Import/Export SQL Database Cosmos tDB Redis Cache Azure Search Storage Tables SQL Data Warehouse Azure AD Health Monitoring AD Privileged Identity Management Operational Analytics Cloud Services Batch RemoteApp Service Fabric Visual Studio Application Insights VS Team Services Domain Services HDInsight Machine Learning Stream Analytics Data Factory Event Hubs Data Lake Analytics Service IoT Hub Data Catalog Security & Management Azure Active Directory Multi-Factor Authentication Automation Portal Key Vault Store/ Marketplace VM Image Gallery & VM Depot Azure AD B2C Scheduler Xamarin HockeyApp Power BI Embedded SQL Server Stretch Database Mobile Engagement Functions Cognitive Services Bot Framework Cortana Security Center Container Service VM Scale Sets Data Lake Store BizTalk Services Service Bus Logic Apps API Management Content Delivery Network Media Services Media Analytics
- 15. Guillermo Bellmann Microsoft Azure MVP Cloud architect - Nubimetrics @gjbellmann Germán Küber .NET Developer - Majestic @germankuber
Editor's Notes
- Deploy a Web app on a single server and you'll hit a wall when the demand on that server reaches a certain level. Deploy it in Azure, however, and you can handle bursts through auto-scaling or steady growth through manual scaling.
- With a traditional server farm, there are two ways to scale to meet demand: Scale up by beefing up the servers (more RAM, more cores, etc.) Scale out by adding servers The same holds true for virtual server farms. In App Services, scale up is a choice between B/S/P 1-3, where 1 = 1 Core, 1/75 GB RAM, 2 = 2 Core, 3.5 GB RAM, 3 = 4 Core, 7 GB RAM. You can also scale up/down between tiers (B/S/P), which impacts local HDD storage (10/50/250 GB) as well as the cap on number of instances (3/10/50). * For 3 instances on Basic, only manual scaling is supported ** For Premium Tier, there is a max of 20 if not using ASEs, and 50 if using ASE’s