Introduction to Windows Azure Platform

This document discusses compute services and the various compute options available on AWS. It defines compute as calculating or processing data. Compute services like OpenStack Compute are used to host and manage cloud computing systems. Major AWS compute services include EC2 for secure and scalable compute capacity, Lambda for serverless code execution, Batch for batch job processing, and Elastic Beanstalk for deploying web applications without managing infrastructure. The document also discusses options like Lightsail for simple workloads, ECS and EKS for containerized applications, and Fargate for serverless containers.

The cloud is the new norm for organisations of all sizes. In this session you will learn how to create an entire Microsoft Enterprise environment in AWS that includes AWS Active Directory Service, Simple System Management (SSM) service, MS Exchange and SharePoint. James Saull, Principal Solutions Architect, Amazon Web Services, EMEA

The document provides an overview of Amazon Web Services (AWS) and its capabilities across compute, storage, database, analytics, artificial intelligence, developer tools, and other services. It highlights the scalability, reliability, and security of the AWS platform and introduces new and expanded capabilities across compute types, databases, analytics, artificial intelligence, edge computing, data transfer, and migration services. It also summarizes AWS' global infrastructure and support offerings.

Dr. Werner Vogels, CTO of Amazon.com discusses some of the lessons learned from Amazon.com. AWS Startup Tour - Sv - 2010

This document discusses Azure Static Web Apps, which provides globally distributed static content, integrated API support through Azure Functions, and automatic building and deployment of full stack web apps. It can support authentication/authorization and is easily scaled. The document demonstrates creating an Angular-based static web app using Cosmos DB for storage, Azure Functions for APIs, and Application Insights for monitoring.

Easy Access to Amazon EMR Spark Clusters Using R and Python in the Browser Using systems like Apache Spark, big data analysis is becoming more accessible from high-level languages like R and Python. However, many analysts are unprepared for the challenges of setting up a big data analytical environment. In this talk, we outline a process that allows anyone in an organization to quickly spin up elastic Spark clusters, then analyze data through RStudio and SparkR, or alternatively pySpark and Jupyter Notebooks. The resulting system is affordable, powerful, and incredibly accessible: It takes just two clicks and a 15-minute wait time for analysts to each have their own cluster. This session will cover the following: the Amazon EMR bootstrap process for installations of high-level languages to work on top of Spark (specifically SparkR and pySpark); dynamic port forwarding with SSH and Foxy Proxy for browser access to RStudio and Jupyter; convenient data loading from Amazon S3 to EMR without leaving RStudio or Jupyter; and automating the startup process for nontechnical data analysts and researchers. Finally, we will share some short studies that demonstrate the power of Spark with EMR to interactively analyze massive datasets and discern public policy insights.

This document provides an agenda and overview for an Advanced Topics in App Service training session. The agenda includes discussing compute options, application deployment and configurations, authentication and authorization, custom domains and SSL, backups and restores, scaling, monitoring, and App Service Environments. It also provides overviews of App Service architecture and features, deployment slots, WebJobs, and monitoring options. Key aspects of App Service Environments like isolation, scale, and integration with virtual networks are explained.

AWS helps you build, deploy, scale, and manage Microsoft applications quickly, easily, more securely, and more cost-effectively. This Hands on Lab workshop will give you everything you need to get started deploying Windows Workloads on AWS, starting with creating and securing a new EC2 Windows instance.

Microsoft Azure is a cloud computing platform offering various services including computing, storage, databases, and web hosting. Azure operates out of 32 regions worldwide. It offers three main service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). App Service is a PaaS offering that allows users to build, deploy, and manage web applications, REST APIs, mobile back ends, and web jobs. Traffic Manager helps distribute user traffic between different endpoints for availability and performance. It uses DNS to route clients to the optimal endpoint based on factors like location and health.

This document provides an overview of Azure and its services. It begins with an introduction to Azure and defines Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then summarizes key Azure computing, storage, networking, platform, data, hybrid/management, and security services. Graphics are included to illustrate concepts like the cloud options of IaaS, PaaS, SaaS and a visualization of the journey to the cloud. Hashtags are included throughout for an Azure community in the Middle East.

Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.

Paul Cochrane, Systems Architect, AutoDesk discuss how they use AWS in their business and why they use AWS cloud at the AWS Enterprise Tour - SF - 2010

Learn the basics of getting started with AWS and migrating your data to AWS. This session will also cover core AWS services, such as Amazon EC2 and Amazon S3, and provide demonstrations of how to set up and utilize those services to launch virtual machines in the cloud.

Whether you are a traditional enterprise exploring migrating workloads to the cloud or are already “all-in” on AWS, performing common tasks of inventory collection, OS patch management, and image creation at scale is increasingly complicated in hybrid infrastructure environments. Amazon EC2 Systems Manager allows you to perform automated configuration and ongoing management of your hybrid environment systems at scale. This session provides an overview of key EC2 Systems Manager capabilities that help you define and track system configurations, prevent drift, and maintain software compliance of your EC2 and on-premises configurations. We will also discuss common use cases for EC2 Systems Manager and give you a demonstration of a hybrid-cloud management scenario.

Learn how to choose which #Azure​ services to use so that you can start "Jumping Clouds" with confidence :) Watch the recording at https://youtu.be/34U1hUJmCUc and for more forward-looking #Software #Developerment topics, join http://ServerlessToronto.org User Group LINKS FROM THE MEETUP & CHAT https://www.askyourdeveloper.com/ http://youtube.serverlesstoronto.org https://youtu.be/Ivcndg9pTpk?t=1390 https://www.meetup.com/Serverless-Toronto/events/276721419/ https://www.meetup.com/Serverless-Toronto/events/275256767/ https://www.meetup.com/Serverless-Toronto/events/276752609/ https://developerweeklypodcast.com/ https://channel9.msdn.com/Shows/Azure-Friday https://www.pluralsight.com/paths/microsoft-azure-compute-for-developers https://azureoverview.com/ https://build5nines.com/ https://azure.microsoft.com/en-us/updates/ https://azure.microsoft.com/en-us/blog/ https://docs.microsoft.com/en-us/azure/architecture/ https://www.mssqltips.com/sqlservertip/5144/sql-server-temporal-tables-vs-change-data-capture-vs-change-tracking--part-3/ https://azure.microsoft.com/en-us/pricing/details/synapse-analytics/ https://www.manning.com/books/azure-data-engineering https://www.manning.com/books/azure-storage-streaming-and-batch-analytics https://docs.microsoft.com/en-us/azure/azure-functions/durable/durable-functions-overview?tabs=csharp https://cloudevents.io/ https://docs.microsoft.com/en-us/azure/architecture/patterns/ https://www.linkedin.com/pulse/you-asking-your-team-design-perfect-solution-daniel-zivkovic/ https://youtu.be/GBTdnfD6s5Q https://www.linkedin.com/company/serverless-toronto/

Learning Objectives: - Securing network access to Amazon EC2 Instances with Security Groups, Launch and configure a Windows virtual machine - Bootstrapping using Powershell - Creating Key Pairs for authentication AWS helps you build, deploy, scale, and manage Microsoft applications quickly, easily, more securely, and more cost-effectively. This Hands on Lab workshop will give you everything you need to get started deploying Windows Workloads on AWS, starting with creating and securing a new EC2 Windows instance.

This document discusses Amazon Lightsail, a service that allows users to launch virtual private servers with predefined configurations starting at $5 per month. Lightsail provides bundled compute, storage, networking and other resources to easily deploy and manage websites, web applications, databases, and development/testing environments. It offers a simple monthly pricing model and intuitive console for managing servers without the complexity of other AWS services. The document outlines Lightsail's plans and pricing, popular use cases it supports, and how users can connect their Lightsail instances to other AWS services.

First presentation I did about Microsoft Azure. Presented it for the Microsoft Student Champs meeting on 2011 November. Microsoft Azure was known as Windows Azure during that time.

En este presentación vemos los conceptos principales y mejores prácticas de tablas en Windows Azure. Saludos,

Presentation by Carlos Oliveira from Shaping the Cloud overview of what windows Azure is and can do. Presented at UK Cloud Education day 2013

Windows Azure is Microsoft's application platform for the public cloud. You can use this platform in many different ways. For instance, you can use Windows Azure to build a web application that runs and stores its data in Microsoft datacenters. You can use Windows Azure just to store data, with the applications that use this data running on-premises (that is, outside the public cloud). You can use Windows Azure to create virtual machines for development and test or to run SharePoint and other applications.

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.

This document introduces Windows Azure by first explaining what cloud computing is and the benefits it provides such as no need to buy and maintain your own hardware and paying only for what you use. It then describes what Windows Azure is, including its operating system for the cloud and main components like storage, compute, and content delivery. Finally it outlines some common usage scenarios for Windows Azure and provides recommendations on how to get started with it through tools, tutorials, and documentation.

The document discusses strategies for building scalable applications on Windows Azure Cloud Services. Key points include: - Designing applications using "scale units" which are groups of roles and supporting services that can be easily duplicated and deployed to scale out an application. - Taking advantage of Azure services like SQL Database, storage, and caching to build scalable applications. - Implementing patterns like caching, retries, and decoupled communications to provide performance and fault tolerance in large-scale systems.

This guide contains twenty-four design patterns and ten related guidance topics that articulate the benefits of applying patterns by showing how each piece can fit into the big picture of cloud application architectures. It includes code samples and general advice on using each pattern. Containing twenty-four design patterns and ten related guidance topics, this guide articulates the benefit of applying patterns by showing how each piece can fit into the big picture of cloud application architectures. It also discusses the benefits and considerations for each pattern. Most of the patterns have code samples or snippets that show how to implement the patterns using the features of Windows Azure. However the majority of topics described in this guide are equally relevant to all kinds of distributed systems, whether hosted on Windows Azure or on other cloud platforms.

The document discusses various patterns for building scalable applications on Microsoft Azure including queue-based load leveling, competing consumers, priority queue, throttling, materialized view, CQRS, and sharding. It provides the context, solution, and considerations for each pattern. Code examples and demos are presented for some patterns.

pequeña comparación de las opciones de mensajería de Windows Azure, con foco en Services bus Queues y ejemplos transaccionales