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Implementing Azure Cloud Design Patterns : Implement efficient design patterns for data management, high availability, monitoring and other popular patterns on your Azure Cloud.

A well designed cloud infrastructure covers factors such as consistency, maintenance, simplified administration and development, and reusability. Hence it is important to choose the right architectural pattern as it has a huge impact on the quality of cloud-hosted services. This book covers all Azur...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Demiliani, Stefano
Otros Autores: Michalski, Oliver
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2018.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Title Page; Copyright and Credits; Dedication; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: An Introduction to the Microsoft Azure Platform; Cloud service models and cloud deployment models; Cloud service models; Cloud deployment models; Azure execution models; Azure application building blocks; Azure data services; Azure platform services; How is access to Azure organized?; How is work with Azure organized?; Summary; Chapter 2: Compute Design and Management; IaaS I (Azure VMs); What is an Azure series?; Single VMs; Multiple VMs; Azure availability sets.
  • N-tier deploymentN-tier (multi-regions) deployment; IaaS II (Azure Container Services); What is an Azure Container Service?; Understanding containers; Cluster; Orchestrator; Which Orchestrator should I choose?; Mesosphere DC/OS; Docker Swarm; Kubernetes; PaaS I (Azure App Services); PaaS II (Azure Service Fabric, also known as Azure microservices); Summary; Chapter 3: Data Storing and Processing; Choosing the right data solution; What is variety?; What is volume?; Concurrency and consistency; Replication and redundancy; Other factors; Which Azure data services are available?; Management.
  • Azure Data CatalogProcessing; Azure Data Factory; Azure Stream Analytics; Azure Time Series Insights; Storage; Azure Storage Blob service; Azure Storage Blob service premium; Azure Storage Queue service; Azure Storage Table service; Azure Files; SQL as a service; Azure SQL Database; SQL Server Stretch Database; Azure PostgreSQL; Azure MySQL; Other offers; NoSQL as a service; Azure CosmosDB; Big data; Azure HDInsight; Azure Data Lake Store; Azure Data Lake Analytics; Analytics; Cortana Intelligence Suite; AI; Azure Machine Learning; Cognitive Services; Bot Framework; Virtualization; PowerBI.
  • PowerBI EmbeddedAzure Time Series Insights; Summary; Chapter 4: Networking Design and Management; Anatomy of a VNet infrastructure; Connectivity; Internet connectivity; Connectivity between Azure resources (internal connectivity); Azure VNet peering; Azure global VNet peering; Azure VNet-to-VNet (VPN gateway); On-premises connectivity; Azure Site-to-Site; Azure Point-to-Site; Azure ExpressRoute; Azure VNet service endpoints; Important note; Routing, load balancing, or more general traffic directions; Routing; User-defined routes; Routing using the BGP; Azure Load Balancer.
  • Azure Traffic ManagerAzure Application Gateway; Security; NSG; Application security groups; Security infrastructure; NVA; Management and monitoring; Summary; Chapter 5: Availability; What is availability?; First approach; Second approach; Uptime and downtime; SLA; Planned maintenance; What are the effects?; Azure autoscaling; Summary; Chapter 6: Performance and Scalability; What is performance?; What is a DTU?; Service level objectives; Analyzing and interpreting performance data; What are our business workloads?; Why is knowledge about existing business workloads important to us?