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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Demiliani, Stefano. | |
| 245 | 1 | 0 | |a Implementing Azure Cloud Design Patterns : |b Implement efficient design patterns for data management, high availability, monitoring and other popular patterns on your Azure Cloud. |
| 260 | |a Birmingham : |b Packt Publishing, |c 2018. | ||
| 300 | |a 1 online resource (291 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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? | |
| 500 | |a What are we still missing? | ||
| 520 | |a 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 Azure design patterns and functionalities to help ... | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Cloud computing. | |
| 650 | 0 | |a Microsoft Azure (Computing platform) | |
| 650 | 6 | |a Infonuagique. | |
| 650 | 6 | |a Microsoft Azure (Plateforme informatique) | |
| 650 | 7 | |a Computer networking & communications. |2 bicssc | |
| 650 | 7 | |a Computer architecture & logic design. |2 bicssc | |
| 650 | 7 | |a Cloud computing. |2 bicssc | |
| 650 | 7 | |a Computers |x Systems Architecture |x General. |2 bisacsh | |
| 650 | 7 | |a Computers |x System Administration |x General. |2 bisacsh | |
| 650 | 7 | |a Cloud computing |2 fast | |
| 650 | 7 | |a Microsoft Azure (Computing platform) |2 fast | |
| 700 | 1 | |a Michalski, Oliver. | |
| 776 | 0 | 8 | |i Print version: |a Demiliani, Stefano. |t Implementing Azure Cloud Design Patterns : Implement efficient design patterns for data management, high availability, monitoring and other popular patterns on your Azure Cloud. |d Birmingham : Packt Publishing, ©2018 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5254608 |z Texto completo |
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