This document provides an overview of Microsoft Cloud Platform. It discusses what cloud computing is, the different service categories and cloud types. It then describes Microsoft's cloud strategy and history in cloud computing. The rest of the document details Microsoft's cloud infrastructure including their global data center network, server container deployment, and categories of cloud services like compute, storage, data and platform services. Pricing models for consumption, subscription and volume licensing are also mentioned.
The document discusses Microsoft's cloud platform and strategy. It provides an overview of cloud computing models including private, public and hybrid clouds. It describes Microsoft's data center infrastructure which uses shipping containers to house servers at high density. It also outlines Microsoft's portfolio of cloud services on the Windows Azure platform, including computing, storage, data and application services. Pricing and consumption models for Windows Azure services are also summarized.
Windows Azure Platfom By Soumow AtitallahSoumow Dollon
Windows Azure is a cloud computing platform that provides hosting for web applications and services. It offers scalable computing and storage through a global network of Microsoft-managed data centers. Developers can deploy applications to Windows Azure using common languages and tools, and pay only for the resources used.
Microsoft is moving towards cloud computing by offering cloud services on its Azure platform. The Azure platform provides on-demand computing infrastructure and services on a pay-as-you-go model. It gives customers the flexibility to enhance existing applications with cloud services, deploy some workloads entirely to the cloud, or compose new applications using multiple cloud services. Microsoft's vision is to provide a consistent experience for building and hosting applications across on-premises datacenters and the cloud.
MSHOWTO ile Tech Summit 1'de Bende Özgür Çebi ile birlikte Citrix on Azure oturumunu gerçekleştirdim. Bu oturuma ait sunumu bu adresten inceleyebilirsiniz.
This document summarizes several Azure services:
- App Service provides a scalable and isolated environment to host web apps, functions, containers, and logic apps. It offers multiple languages and frameworks in a managed environment with global availability.
- Front Door provides global load balancing and routing capabilities to applications. It offers standard and premium pricing tiers.
- Key Vault secures encryption keys and secrets like certificates and passwords in a central location.
- Storage offers blobs, files, queues and tables with standard, premium and disk storage account types providing different redundancy and performance options. It enables secure access and customer-managed encryption keys.
- Site Recovery replicates on-premises and Azure VMs to the cloud for
Understanding the Windows Azure Platform - Dec 2010DavidGristwood
This document provides an overview of the Windows Azure platform. It describes Windows Azure as a platform as a service (PaaS) that provides scalable compute and storage services in the cloud. It outlines the core services of Windows Azure including compute, storage, networking and tools for development, deployment and management. It also discusses key advantages like scalability, reliability, flexibility and the pay-as-you-go business model.
The document discusses Microsoft Azure, a cloud computing platform. It provides an overview of key Azure concepts like scalability, flexible pricing models, and global datacenter infrastructure. It also describes Azure services like compute, storage, SQL databases, and AppFabric that help developers build and scale applications in the cloud. Commercial pricing information is included to show how Azure offers flexible consumption-based pricing based on actual usage.
The document provides an overview of the Azure platform and its components. It discusses how Azure is designed for massive scale and how its services like compute, storage, SQL Azure and AppFabric help applications scale. It provides examples of how these services can be used and highlights key aspects like Azure's pay-as-you-go model, global reach, and tools for development, deployment and management.
The document discusses Microsoft's cloud platform and strategy. It provides an overview of cloud computing models including private, public and hybrid clouds. It describes Microsoft's data center infrastructure which uses shipping containers to house servers at high density. It also outlines Microsoft's portfolio of cloud services on the Windows Azure platform, including computing, storage, data and application services. Pricing and consumption models for Windows Azure services are also summarized.
Windows Azure Platfom By Soumow AtitallahSoumow Dollon
Windows Azure is a cloud computing platform that provides hosting for web applications and services. It offers scalable computing and storage through a global network of Microsoft-managed data centers. Developers can deploy applications to Windows Azure using common languages and tools, and pay only for the resources used.
Microsoft is moving towards cloud computing by offering cloud services on its Azure platform. The Azure platform provides on-demand computing infrastructure and services on a pay-as-you-go model. It gives customers the flexibility to enhance existing applications with cloud services, deploy some workloads entirely to the cloud, or compose new applications using multiple cloud services. Microsoft's vision is to provide a consistent experience for building and hosting applications across on-premises datacenters and the cloud.
MSHOWTO ile Tech Summit 1'de Bende Özgür Çebi ile birlikte Citrix on Azure oturumunu gerçekleştirdim. Bu oturuma ait sunumu bu adresten inceleyebilirsiniz.
This document summarizes several Azure services:
- App Service provides a scalable and isolated environment to host web apps, functions, containers, and logic apps. It offers multiple languages and frameworks in a managed environment with global availability.
- Front Door provides global load balancing and routing capabilities to applications. It offers standard and premium pricing tiers.
- Key Vault secures encryption keys and secrets like certificates and passwords in a central location.
- Storage offers blobs, files, queues and tables with standard, premium and disk storage account types providing different redundancy and performance options. It enables secure access and customer-managed encryption keys.
- Site Recovery replicates on-premises and Azure VMs to the cloud for
Understanding the Windows Azure Platform - Dec 2010DavidGristwood
This document provides an overview of the Windows Azure platform. It describes Windows Azure as a platform as a service (PaaS) that provides scalable compute and storage services in the cloud. It outlines the core services of Windows Azure including compute, storage, networking and tools for development, deployment and management. It also discusses key advantages like scalability, reliability, flexibility and the pay-as-you-go business model.
The document discusses Microsoft Azure, a cloud computing platform. It provides an overview of key Azure concepts like scalability, flexible pricing models, and global datacenter infrastructure. It also describes Azure services like compute, storage, SQL databases, and AppFabric that help developers build and scale applications in the cloud. Commercial pricing information is included to show how Azure offers flexible consumption-based pricing based on actual usage.
The document provides an overview of the Azure platform and its components. It discusses how Azure is designed for massive scale and how its services like compute, storage, SQL Azure and AppFabric help applications scale. It provides examples of how these services can be used and highlights key aspects like Azure's pay-as-you-go model, global reach, and tools for development, deployment and management.
Understanding The Azure Platform March 2010DavidGristwood
Understanding Azure is a document about Microsoft's cloud computing platform Azure. It discusses how Azure allows developers to build applications that can automatically scale to large numbers of users. Azure provides global data centers, flexible computing and storage services, and tools to help applications easily scale. The document outlines Azure's core services like compute, storage, SQL databases, and content delivery to simplify building applications that can handle large volumes of traffic.
Azure SQL Database is a relational database-as-a-service hosted in the Azure cloud that reduces costs by eliminating the need to manage virtual machines, operating systems, or database software. It provides automatic backups, high availability through geo-replication, and the ability to scale performance by changing service tiers. Azure Cosmos DB is a globally distributed, multi-model database that supports automatic indexing, multiple data models via different APIs, and configurable consistency levels with strong performance guarantees. Azure Redis Cache uses the open-source Redis data structure store with managed caching instances in Azure for improved application performance.
Saa s multitenant database architecturemmubashirkhan
The document discusses cloud computing and service models including SaaS, PaaS, and IaaS. It then describes challenges with multitenant databases and proposes two solutions. The first proposes an efficient shared schema approach with authentication and authorization. The second proposes a non-intrusive database for large-scale SaaS with data isolation, security, and scalability. It compares the solutions and recommends backup strategies, encrypted data storage, and unique ID generation.
Cloud computing provides convenient, on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort. It provides an abstraction between computing resources and their underlying technical architecture, enabling flexible network access.
Combining Private and Public Clouds into Meaningful HybridsDavid Chou
The document discusses hybrid cloud scenarios that combine public and private clouds. It defines private and public clouds and their differences. Private clouds provide more control while public clouds provide scale. Hybrid clouds blend both models. The document outlines several hybrid cloud deployment patterns and application patterns, including using public clouds for variable capacity and private clouds for predictable workloads. It emphasizes the need for cloud-optimized application design and integration across cloud services when building hybrid applications.
The document discusses Calsoft's Cloud File System solution which enables seamless extension of NAS storage to cloud storage. It presents challenges with cloud storage including common interfaces, security, and data transfer policies. It then discusses the Cloud Data Management Interface (CDMI) standard and how Calsoft's solution uses CDMI to integrate with multiple cloud storage providers. The solution includes a policy engine to help manage storage capacity and quality of service across on-premise and cloud storage pools.
This document discusses cloud-native applications and serverless computing. It begins with an introduction to cloud-native applications and core technologies like containers, orchestrators, and microservices. Examples are then given of how companies like Fujifilm and ASOS have benefited from serverless architectures on Azure. The document concludes with an overview of Azure serverless services like Functions, Event Grid, Cosmos DB, and Logic Apps and a sample serverless application architecture diagram.
This is a brief introduction for Azure, a DevOps service created by Microsoft. After the Azure services we have some examples so you can see how easy it is to build a service in Azure and manage your company, without needing any local servers.
Patterns of Cloud Applications Using Microsoft Azure Services PlatformDavid Chou
The document describes Microsoft's Azure Services Platform, which provides IT services through a global network of Microsoft data centers. It offers infrastructure, platform, and private cloud services that are managed at different levels, from fully managed platform services to customer-managed private infrastructure. Key services include compute, data, networking, development platforms, identity management, and more. It also provides high availability, security, and usage-based pricing. The platform supports various application patterns including cloud web applications and composite services applications built with Azure services.
The document provides an introduction to cloud computing. It begins with an overview of the course agenda and then defines cloud computing. It discusses the three main service models of cloud computing: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document then provides examples of each service model and their advantages. It also discusses public and private cloud models as well as cloud architecture, including load balancing, data centers, and virtualization. The document concludes with a discussion of the future of cloud computing including Kubernetes and containerization.
This document provides an overview of cloud computing and the top 6 cloud service providers:
1. It defines cloud, cloud computing, and cloud services as computing resources, data storage, and services available over the internet.
2. The top 6 cloud service providers are identified as Amazon Web Services, Microsoft Azure, Google Cloud, Alibaba Cloud, IBM Cloud, and Oracle.
3. Each provider is briefly described, highlighting their service categories including compute, storage, databases, analytics, AI/ML, security, and networking.
This document provides an overview of cloud databases. It defines a cloud database as a database that runs on cloud computing platforms and is accessed as a service. There are two primary methods to run databases in the cloud: using virtual machine images or database-as-a-service (DBaaS). DBaaS allows users to avoid installing and maintaining databases themselves. The document outlines the architecture of cloud databases and characteristics like high availability. It lists advantages such as low cost, easy access to data from anywhere, and simple data sharing. Security issues with cloud databases are also noted.
This document provides an overview of Azure SQL DB environments. It discusses the different types of cloud platforms including IaaS, PaaS and DBaaS. It summarizes the key features and benefits of Azure SQL DB including automatic backups, geo-replication for disaster recovery, and elastic pools for reducing costs. The document also covers pricing models, performance monitoring, automatic tuning capabilities, and security features of Azure SQL DB.
The document discusses how businesses need to build a data strategy and modernize their data platforms to harness the power of data from diverse and growing sources. It provides examples of how organizations like healthcare and energy companies are using technologies like machine learning, real-time analytics, and predictive modeling on data from various sources to improve outcomes, predict trends, and drive business decisions. The Microsoft data platform is positioned as helping businesses manage both traditional and new forms of data, gain insights faster, and transform into data-driven organizations through offerings like SQL Server, Azure, Power BI, and the Internet of Things.
- Problems with traditional data centers.
- Cloud computing definition, deployment, and services models.
- Essential characteristics of cloud services.
- IaaS examples.
- PaaS examples.
- SaaS examples.
- Cloud enabling technologies such as grid computing, utility computing, service oriented architecture (SOA), The Internet, Multi-tenancy, Web 2.0, Automation and Virtualization.
Cloud Computing | Virtualization | Docker | Go Language Dweep Gogia
A presentation prepared for the freshman year students present at Software Freedom Day'16, Panjab University, Chandigarh, India. Introducing them to the Cloud Technology and various other related technologies. A brief intro and some resources related to the programming language "Go" are also mentioned.
This document discusses Azure Resource Manager templates, which provide a declarative and automated way to deploy resources in Azure. Some key points:
- ARM templates define the deployment of Azure resources through a JSON file, allowing deployments to be automated, repeatable, and easy to manage.
- Templates use parameters for user input, variables for reuse, and outputs to capture deployment results. Expressions allow dynamic values.
- Template execution establishes dependencies between resources through functions like dependsOn and reference.
- Templates can be linked to decompose deployments and allow reuse of common configurations. State can be passed between templates through parameters, variables, and outputs.
This document provides an overview of virtualization and cloud computing technologies. It defines virtualization as using software to allow multiple operating systems to run on a single hardware host. A hypervisor manages shared access to the physical resources. The document outlines the history of virtualization and describes popular virtualization platforms like Hyper-V, VMware vSphere, and cloud services from Amazon Web Services, Google Apps, and Windows Azure. Benefits of cloud computing include reduced costs, increased storage, flexibility, and mobility. Public, private and hybrid cloud models are discussed along with case studies of major cloud providers.
This document provides an overview of the Microsoft Windows Azure platform, including its data center infrastructure, categories of services, and key projects. Some of the main points covered include:
- Windows Azure uses globally distributed data centers housed in shipping containers to maximize server density and efficiency.
- It provides various compute, storage, data, connectivity, security, and application services through a generalized cloud application model.
- Key projects expand on services for identity/access management, caching, service hosting, information delivery, and more.
Il cloud è il presente e il futuro di moltissime soluzioni e infrastrutture aziendali. In questa sessione capiremo cos’è il cloud, che tipi di cloud ci sono e vedremo gli aspetti principali di Azure, dalle VM (IaaS) ai vari servizi di piattaforma (PaaS), facendo anche una piccola deviazione sulle API del Microsoft Graph e dei Cognitive Services (SaaS)
Understanding The Azure Platform March 2010DavidGristwood
Understanding Azure is a document about Microsoft's cloud computing platform Azure. It discusses how Azure allows developers to build applications that can automatically scale to large numbers of users. Azure provides global data centers, flexible computing and storage services, and tools to help applications easily scale. The document outlines Azure's core services like compute, storage, SQL databases, and content delivery to simplify building applications that can handle large volumes of traffic.
Azure SQL Database is a relational database-as-a-service hosted in the Azure cloud that reduces costs by eliminating the need to manage virtual machines, operating systems, or database software. It provides automatic backups, high availability through geo-replication, and the ability to scale performance by changing service tiers. Azure Cosmos DB is a globally distributed, multi-model database that supports automatic indexing, multiple data models via different APIs, and configurable consistency levels with strong performance guarantees. Azure Redis Cache uses the open-source Redis data structure store with managed caching instances in Azure for improved application performance.
Saa s multitenant database architecturemmubashirkhan
The document discusses cloud computing and service models including SaaS, PaaS, and IaaS. It then describes challenges with multitenant databases and proposes two solutions. The first proposes an efficient shared schema approach with authentication and authorization. The second proposes a non-intrusive database for large-scale SaaS with data isolation, security, and scalability. It compares the solutions and recommends backup strategies, encrypted data storage, and unique ID generation.
Cloud computing provides convenient, on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort. It provides an abstraction between computing resources and their underlying technical architecture, enabling flexible network access.
Combining Private and Public Clouds into Meaningful HybridsDavid Chou
The document discusses hybrid cloud scenarios that combine public and private clouds. It defines private and public clouds and their differences. Private clouds provide more control while public clouds provide scale. Hybrid clouds blend both models. The document outlines several hybrid cloud deployment patterns and application patterns, including using public clouds for variable capacity and private clouds for predictable workloads. It emphasizes the need for cloud-optimized application design and integration across cloud services when building hybrid applications.
The document discusses Calsoft's Cloud File System solution which enables seamless extension of NAS storage to cloud storage. It presents challenges with cloud storage including common interfaces, security, and data transfer policies. It then discusses the Cloud Data Management Interface (CDMI) standard and how Calsoft's solution uses CDMI to integrate with multiple cloud storage providers. The solution includes a policy engine to help manage storage capacity and quality of service across on-premise and cloud storage pools.
This document discusses cloud-native applications and serverless computing. It begins with an introduction to cloud-native applications and core technologies like containers, orchestrators, and microservices. Examples are then given of how companies like Fujifilm and ASOS have benefited from serverless architectures on Azure. The document concludes with an overview of Azure serverless services like Functions, Event Grid, Cosmos DB, and Logic Apps and a sample serverless application architecture diagram.
This is a brief introduction for Azure, a DevOps service created by Microsoft. After the Azure services we have some examples so you can see how easy it is to build a service in Azure and manage your company, without needing any local servers.
Patterns of Cloud Applications Using Microsoft Azure Services PlatformDavid Chou
The document describes Microsoft's Azure Services Platform, which provides IT services through a global network of Microsoft data centers. It offers infrastructure, platform, and private cloud services that are managed at different levels, from fully managed platform services to customer-managed private infrastructure. Key services include compute, data, networking, development platforms, identity management, and more. It also provides high availability, security, and usage-based pricing. The platform supports various application patterns including cloud web applications and composite services applications built with Azure services.
The document provides an introduction to cloud computing. It begins with an overview of the course agenda and then defines cloud computing. It discusses the three main service models of cloud computing: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document then provides examples of each service model and their advantages. It also discusses public and private cloud models as well as cloud architecture, including load balancing, data centers, and virtualization. The document concludes with a discussion of the future of cloud computing including Kubernetes and containerization.
This document provides an overview of cloud computing and the top 6 cloud service providers:
1. It defines cloud, cloud computing, and cloud services as computing resources, data storage, and services available over the internet.
2. The top 6 cloud service providers are identified as Amazon Web Services, Microsoft Azure, Google Cloud, Alibaba Cloud, IBM Cloud, and Oracle.
3. Each provider is briefly described, highlighting their service categories including compute, storage, databases, analytics, AI/ML, security, and networking.
This document provides an overview of cloud databases. It defines a cloud database as a database that runs on cloud computing platforms and is accessed as a service. There are two primary methods to run databases in the cloud: using virtual machine images or database-as-a-service (DBaaS). DBaaS allows users to avoid installing and maintaining databases themselves. The document outlines the architecture of cloud databases and characteristics like high availability. It lists advantages such as low cost, easy access to data from anywhere, and simple data sharing. Security issues with cloud databases are also noted.
This document provides an overview of Azure SQL DB environments. It discusses the different types of cloud platforms including IaaS, PaaS and DBaaS. It summarizes the key features and benefits of Azure SQL DB including automatic backups, geo-replication for disaster recovery, and elastic pools for reducing costs. The document also covers pricing models, performance monitoring, automatic tuning capabilities, and security features of Azure SQL DB.
The document discusses how businesses need to build a data strategy and modernize their data platforms to harness the power of data from diverse and growing sources. It provides examples of how organizations like healthcare and energy companies are using technologies like machine learning, real-time analytics, and predictive modeling on data from various sources to improve outcomes, predict trends, and drive business decisions. The Microsoft data platform is positioned as helping businesses manage both traditional and new forms of data, gain insights faster, and transform into data-driven organizations through offerings like SQL Server, Azure, Power BI, and the Internet of Things.
- Problems with traditional data centers.
- Cloud computing definition, deployment, and services models.
- Essential characteristics of cloud services.
- IaaS examples.
- PaaS examples.
- SaaS examples.
- Cloud enabling technologies such as grid computing, utility computing, service oriented architecture (SOA), The Internet, Multi-tenancy, Web 2.0, Automation and Virtualization.
Cloud Computing | Virtualization | Docker | Go Language Dweep Gogia
A presentation prepared for the freshman year students present at Software Freedom Day'16, Panjab University, Chandigarh, India. Introducing them to the Cloud Technology and various other related technologies. A brief intro and some resources related to the programming language "Go" are also mentioned.
This document discusses Azure Resource Manager templates, which provide a declarative and automated way to deploy resources in Azure. Some key points:
- ARM templates define the deployment of Azure resources through a JSON file, allowing deployments to be automated, repeatable, and easy to manage.
- Templates use parameters for user input, variables for reuse, and outputs to capture deployment results. Expressions allow dynamic values.
- Template execution establishes dependencies between resources through functions like dependsOn and reference.
- Templates can be linked to decompose deployments and allow reuse of common configurations. State can be passed between templates through parameters, variables, and outputs.
This document provides an overview of virtualization and cloud computing technologies. It defines virtualization as using software to allow multiple operating systems to run on a single hardware host. A hypervisor manages shared access to the physical resources. The document outlines the history of virtualization and describes popular virtualization platforms like Hyper-V, VMware vSphere, and cloud services from Amazon Web Services, Google Apps, and Windows Azure. Benefits of cloud computing include reduced costs, increased storage, flexibility, and mobility. Public, private and hybrid cloud models are discussed along with case studies of major cloud providers.
This document provides an overview of the Microsoft Windows Azure platform, including its data center infrastructure, categories of services, and key projects. Some of the main points covered include:
- Windows Azure uses globally distributed data centers housed in shipping containers to maximize server density and efficiency.
- It provides various compute, storage, data, connectivity, security, and application services through a generalized cloud application model.
- Key projects expand on services for identity/access management, caching, service hosting, information delivery, and more.
Il cloud è il presente e il futuro di moltissime soluzioni e infrastrutture aziendali. In questa sessione capiremo cos’è il cloud, che tipi di cloud ci sono e vedremo gli aspetti principali di Azure, dalle VM (IaaS) ai vari servizi di piattaforma (PaaS), facendo anche una piccola deviazione sulle API del Microsoft Graph e dei Cognitive Services (SaaS)
Probabilmente il framework javascript più atteso di sempre, evoluzione di uno dei framework più longevi ed usati nello sviluppo front end. Si vedranno alcune delle novità introdotte e delle scelte radicali fatte da Google per la nuova versione di Angular
This document discusses PHPSpec, a behavior-driven development (BDD) framework for PHP. It begins by explaining what PHPSpec is and how it implements BDD through a domain-specific language (DSL) based on RSpec. The document then covers how PHPSpec specifies tests using contexts, examples, expectations, matchers, mocks, and stubs. It provides examples of writing PHPSpec tests and using various PHPSpec features. The document concludes by mentioning upcoming PHPSpec features and linking to resources for learning more.
Può lo sviluppo di REST API con PHP può diventare un'esperienza davvero gradevole?
Cos'è Laravel, la filosofia che il progetto porta avanti e come costruire API REST complete con uno dei framework più usati negli ultimi anni.
Windows Azure Uzerinden Alinabilen HizmetlerMustafa
This document discusses various services available on Windows Azure. It describes three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). For IaaS, it discusses compute and storage services including virtual machines, storage accounts, and content delivery network. For PaaS, it discusses platform services like SQL Azure database, service bus for connectivity, and access control for security. It also discusses various Azure application services projects like Dublin, Geneva, Velocity and Dallas that provide additional capabilities.
The document discusses various services available on Windows Azure. It describes three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). For IaaS, it discusses compute and storage services including virtual machines, storage accounts, and content delivery network. For PaaS, it discusses platform services like SQL Azure, Service Bus, and Access Control. It also discusses various Microsoft cloud projects like Dublin, Geneva, Velocity and Dallas that provide additional capabilities on top of Windows Azure.
Kannegieter Event envision the future - Microsoft - 24-6-2010 - v1.0Peter de Haas
Presentatie op het jaarlijkse event van Kannegieter. Wat is Microsoft's visie op de toekomst.
Kudo's aan Rene van Haaster en Serge van Schie voor het maken de presentatie en mede presenteren op dit event
The document discusses cloud computing and the benefits of using a Platform as a Service (PaaS) model. It defines cloud computing and outlines essential cloud criteria like on-demand access and resource pooling. Benefits of cloud include lower total cost of ownership and shorter time to market. The document then examines various cloud service models and popular PaaS providers like CloudBees. It provides an example of using CloudBees and DevOps practices for continuous integration, deployment and testing of an application. Finally, it offers tips on leveraging PaaS and being prepared for application and infrastructure migrations to the cloud.
This document discusses whether Windows Azure is the right cloud platform. It covers why cloud computing is beneficial as a utility service model, why Microsoft is well-positioned in the cloud with its breadth of offerings across platforms, and what types of scenarios are well-suited for the Windows Azure platform, such as applications with changing loads or seasonal usage patterns. It also addresses some challenges with cloud like data security and outlines steps to evaluate and adopt cloud computing like identifying opportunities, calculating total cost of ownership, and conducting proof of concepts.
Moving Web Apps to the Cloud - Iowa User Group Tour, Feb 2012Eric D. Boyd
This document discusses moving web applications to the cloud using Windows Azure. It defines cloud computing and outlines the benefits such as pay-as-you-go pricing and scalability. The document demonstrates migrating an existing web application to Windows Azure by moving the database to SQL Azure and authentication to claims-based authentication. It provides recommendations for assessing applications for cloud migration and factors to consider like costs and returns. Resources for the Windows Azure SDK and tools are also referenced.
Windows azure uk universities overview march 2012Lee Stott
This document provides an overview of different cloud computing platforms including packaged software, infrastructure as a service, and platform as a service. It defines the key characteristics of each type of platform and who manages different layers such as applications, data, runtimes, and middleware. The document also includes diagrams illustrating where responsibilities lie between vendors and customers for management across various cloud platform models.
This document discusses open standards, interoperability, and open source in cloud computing. It covers:
- The evolution to hybrid clouds that use both private and public cloud services.
- The need for open standards to reduce vendor lock-in and allow interoperability between clouds.
- How various standards committees are working to develop standards for cloud interoperability.
- Microsoft's support for open standards, open data initiatives, and significant participation in open source projects to drive interoperability.
- While standardization has just begun, Microsoft's strategy is to enable interoperability and portability today by reusing existing open standards and collaborating with other vendors.
The document discusses the Windows Azure platform, which provides infrastructure and platform services through Microsoft's global network of data centers. Key features of the platform include scalable compute and storage, a service bus for integration, and access control services. The platform aims to offer developers agility, innovation, and cost efficiency through a pay-as-you-go cloud model.
The document discusses moving to cloud computing. It defines cloud computing as using internet-based services that provide on-demand access to shared computing resources like networks, servers, storage and applications. The cloud offers several advantages like scalability, mobility and pay-per-use pricing. The document outlines different types of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). It notes that cloud computing shifts IT operations from a capital expenditure model to an operational one. The presentation encourages attendees to learn more about Microsoft's cloud computing offerings.
MS TechDays 2011 - Cloud Computing with the Windows Azure PlatformSpiffy
This document provides an overview of the Windows Azure cloud computing platform. It discusses the types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then describes several key Windows Azure services like Compute, Storage, Database, Content Delivery Network, Reporting, Virtual Machines, Service Bus, Access Control, Caching, Virtual Network, and Marketplace. The presentation encourages Singapore companies using Windows Azure to contact Microsoft to have their applications featured. It concludes with inviting questions from attendees.
Windows Azure UK Universities Bradford UniLee Stott
The document discusses different cloud computing models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It provides examples of cloud applications and services like Azure, Dynamics Online, and Office 365. It also covers topics like private and public clouds, and how workloads can scale on-demand in the cloud.
The document discusses cloud computing and its benefits. In 3 sentences:
Cloud computing delivers IT services over the internet, allowing users to access applications from any device. It offers scalable resources, pay-per-use pricing with no upfront costs, and removes the need for hardware management. The cloud computing model can help organizations reduce costs, improve resource agility and business agility, and lower their carbon footprint.
This document discusses migrating applications to Microsoft Azure. It begins by explaining the different types of cloud computing models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then discusses how migrating changes aspects like compliance, scalability, performance, security, and operations. Common migration scenarios and strategies are outlined such as rehosting, refactoring, revising, and rebuilding applications. Specific techniques for migrating databases and addressing limitations are also covered. The document provides resources for migrating applications and wrapping up the key points around the benefits of migrating to a mixed deployment model in Azure.
The Move to the Cloud for Regulated Industriesdirkbeth
The document discusses the move to cloud computing for regulated industries like pharmaceutical, biotech, and medical device companies. It notes that while 95% of people claim they don't use the cloud, they actually do for online banking, shopping, social media, and storing photos and music. The cloud provides benefits like high reliability, unlimited storage, easy sharing, and supporting enterprise software. However, regulated industries have additional requirements for cloud applications around authentication, encryption, compliance, auditing, and platform qualifications. Examples of potential cloud uses in pharma include drug discovery, clinical data collection, gene sequencing, and collaboration with partners. The future includes benefits like global accessibility, availability, and collaborative environments.
Choosing Your Windows Azure Platform Strategydrmarcustillett
The document discusses Windows Azure, Microsoft's cloud computing platform. It provides details on Azure's global datacenter infrastructure, which uses large shipping containers to house servers in environmentally sustainable facilities. It also describes Azure's core services including compute, storage, data, networking and platforms that applications can be built upon. Strategies for moving applications or workloads to Azure like greenfield development, migration and extension are presented. Considerations for developing applications on Azure around state management, failure handling and optimization techniques are also covered. Challenges of moving to the cloud like data security, portability and sovereignty are noted.
This document discusses integrating Microsoft SharePoint 2010 with Windows Azure. It begins with an introduction to Windows Azure and the benefits of integrating SharePoint and Azure. It describes the different approaches for integration, including hosting SharePoint artifacts in Azure and extending Azure applications into SharePoint. It provides examples of common points of integration and how to set up a development environment. Finally, it discusses potential integration scenarios using various SharePoint and Azure technologies.
This document provides an overview of cloud computing and Microsoft's Windows Azure platform. It discusses key cloud concepts like infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It also covers the different types of roles in Windows Azure, including web roles, worker roles, and virtual machine roles. The document explains the Windows Azure architecture and how roles are deployed and configured using service definition and configuration files.
This document discusses different service models in cloud computing including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It outlines the key characteristics of each model in terms of what is managed by the cloud provider versus the customer. For example, in IaaS the customer manages the applications, data, and some middleware while the provider manages the infrastructure including servers, storage, networking, and virtualization. PaaS provides additional managed services like runtime, middleware, and operating system. In SaaS, the provider manages everything except custom applications and some configuration settings.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
2. What is Cloud Computing?
Use (services, information, etc.)
Build (applications, data, etc.)
Host (software, database, etc.)
Your Someone
Own Else’s
Data Center Data Center
3. What is Cloud Computing?
Software (as-a-service)
Service Categories
Platform (as-a-service)
Infrastructure (as-a-service)
Community
Dedicated
Hybrid Cloud
Private Public
Cloud Cloud
Cloud Types
4. What is Cloud Computing?
Service Categories
Infrastructure Platform Software
(On-Premise) (as a Service) (as a Service) (as a Service)
You manage
Applications Applications Applications Applications
You manage
Data Data Data Data
Runtime Runtime Runtime Runtime
Managed by vendor
Middleware Middleware Middleware Middleware
You manage
Managed by vendor
O/S O/S Managed by vendor O/S O/S
Virtualization Virtualization Virtualization Virtualization
Servers Servers Servers Servers
Storage Storage Storage Storage
Networking Networking Networking Networking
6. Microsoft Cloud Strategy
History in the Cloud
(6 years)
(7 years)
(15 years) 4B emails/day
5B conf
(11 years) 450M+ min/yr
(11 years) 2B active users
320M+ queries/mth
(12 years)
active
Largest non-
users
(13 years) ICP/IP cloud
550M service
users/mth x100M users
(15 years)
450M+
active users
7. The Microsoft Cloud
Data Center Infrastructure
> Purpose-built data center to host
containers at large scale
Cost $500 million, 100,000 square
foot facility (10 football fields)
> 40 foot shipping containers can
house as many as 2,500 servers
Density of 10 times amount of
compute in equivalent space in
traditional data center
> Deliver an average PUE of 1.22
Power Usage Effectiveness
benchmark from The Green Grid™
consortium on energy efficiency
18. The Microsoft Cloud
Categories of Services
Application Services
Software Services
Platform Services
Infrastructure Services
19. Windows Azure Platform
Personal Data Application Information
Application Services Repository Marketplace Marketplace
Services Workflow Distributed
Frameworks Hosting Hosting Cache
Secure Token Declarative Claims-Based Federated
Security Service Policies Identity Identities
On-Premise
Connectivity Service Bus Registry
Bridging
Relational ADO.NET, Data
Data Database ODBC, PHP
Transact-SQL
Synchronization
Compute C/C++
Win32 VHD
Dynamic Message Distributed Content
Storage Tabular Data
Blobs
Queues File System Distribution
20. Windows Azure Platform
Application Services
Frameworks “Dublin” “Velocity”
Security Access Control “Geneva”
Project
Connectivity Service Bus “Sydney”
SQL Azure
Data Data Sync
Compute
Content
Storage Table Storage Blob Storage Queue Drive Delivery
Network
21. http://www.azure.com
Sign up at the Windows
Azure Platform
developers’ portal
Windows Azure access
Developer tools
White papers
Sample applications
Plan pilot applications,
proofs of concept, and
architectural design
sessions with Windows
Azure partners
22. Application Models
Web Hosting High Performance Computing
Massive scale infrastructure Parallel & distributed processing
Burst & overflow capacity Massive modeling & simulation
Temporary, ad-hoc sites Advanced analytics
Application Hosting Information Sharing
Hybrid applications Reference data
Composite applications Common data repositories
Automated agents / jobs Knowledge discovery & mgmt
Media Hosting & Processing Collaborative Processes
CGI rendering Multi-enterprise integration
Content transcoding B2B & e-commerce
Media streaming Supply chain management
Distributed Storage Health & life sciences
External backup and storage Domain-specific services
24. Pricing
CONSUMPTION SUBSCRIPTION VOLUME LICENSING
“Pay as you go and grow” “Value for a commitment“ “Coordinated purchasing”
Available at launch Select offers Announced Planned for FY11
• Low barrier to entry and flexibility • Discounts for commitment • Unified purchasing through EA
• Optimized for cloud elasticity • Plans for payment predictability • Introduction to volume discounts
Compute Web Edition (1GB) Service Bus
• $0.12 / CPU hour • $9.99 / month • $0.15 / 100k messages
Storage Business Edition (10GB) Access Control
• $0.15 / GB / month • $99.99 / month • $0.15 / 100k tokens
• $0.01 / 10k txn / month Bandwidth Bandwidth
Bandwidth • $0.10 in / GB • $0.10 in / GB
• $0.10 in / GB • $0.15 out / GB • $0.15 out / GB
• $0.15 out / GB
25. Case Study
About Solution
kbb.com, established 1995; Cloud-based overflow capacity
vehicle data aggregation and Windows Azure Web Role
publication service provider
SQL Azure database
14M UU/month
Multiple physical data centers
Benefits
~$100,000 savings / year in
hosting costs alone
Retire failover data center (27
Web servers & 9 SQL Servers)
<1% code changes needed for
application compatibility
6 weeks down to 6 minutes to add
server capacity
26. Case Study
About Solution
Legacy call-center application for Cloud-based Web-enablement of
order processing and fulfillment on-premise assets
On-premise systems integration Windows Azure Web Role
with ERP and master data Web services integration via on-
management premise ESB endpoints
Benefits
“In a matter of weeks, we were
able to see the fruits of our efforts
very rapidly.“ – Kevin Flowers, Dir.
Enabling Technologies
“The resilience and reliability of
this platform is some of the
benefits that we are seeing.” – Esat
Sezer, SVP & CIO
27. Case Study
About Solution
Complex Monte Carlo simulations Massively scalable compute
to calculate financial risks leveraging cloud capacity
Daily risk analysis load equivalent Deployed on 2K Windows Azure
to processing 4 trillion US Stocks instances; 10K+ in 2010
Existing on-premise HPC Windows Azure Worker Role
implementation Windows Azure Blob and Queue
AppFabric Service Bus
Benefits
Elastic scaling to effectively meet
customer demands
Turning elements of its peak load
infrastructure from a fixed cost to
a variable cost
28. Case Study
About Solution
Web-based ERP and accounting Cloud-based SaaS deployment
software to help mid-sized Windows Azure
businesses automate customized
SQL Azure
business processes
Business needs: Benefits
Launch a SaaS offering which includes Application migration completed
on demand infrastructure and billing in 3 weeks with 2 developers
Maintain a 24/7 production
environment
Customers can implement
Minimize development efforts for both
solution without investing in on-
on-premise and SaaS offerings premise infrastructure; can save
Technical implementation ~$8,000 for startup costs
Web – IIS 7, ASP.NET 3.5
Server – SQL Server 2005/2008,
Windows Server 2003/2008
Tools – Visual Studio 2008, .NET
Framework 3.5
29. Case Study
About Solution
Online service providing Hybrid cloud application
productivity tools to help students Cloud-based extensions and
conduct research, write better services mash-ups with on-
papers, and get help on-demand premise implementation
Technical implementation Windows Azure application
Client – Windows Mobile 6
.NET Services service bus, access
Web – IIS 6, ASP.NET 3.5
control, & workflows
Server – Windows Server 2003, SQL
Server 2005 Benefits
Services – Bing Search, Windows Live
$500,000 savings in dev. costs
Messenger Web Toolkit
Tools – Visual Studio 2008, .NET 40% faster time-to-market
Framework 3.5, .NET Compact
More effective development
Framework 3.5
Cost-effective scalability and
enhanced availability