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Developing Microsoft Azure Solutions Corporate Workshop/Training Course

Overview

Microsoft Azure (formerly Windows Azure before March 25, 2014) is a cloud computing platform and infrastructure, created by Microsoft, for building, deploying and managing applications and services through a global network of Microsoft-managed datacenters. It provides both PaaS and IaaS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems

Objectives

At the end of Developing Microsoft Azure Solutions training course, the participants will be able to:

  • Extend existing skills to the cloud delivery model
  • Build a simple web role application and deploy it to the cloud
  • Create a worker role project to perform backend processes
  • Store persistent data with Windows Azure Storage
  • Design a scalable database application in the cloud using Microsoft SQL Azure
  • Connect several cloud-based applications with Windows Azure AppFabric
  • Design a multitier solution that can scale to meet user demand

Duration - 3 Days

Questions?    Request a call back

Syllabus

Day 1
  • Deploy websites
    • Define deployment slots; roll back deployments; create hosting plans; migrate websites between hosting plans; create a website within a hosting plan
  • Configure websites
    • Define and use app settings, connection strings, handlers, and virtual directories; configure certificates and custom domains; configure SSL bindings and runtime configurations; manage websites by using the API, Windows PowerShell, and Xplat-CLI
  • Configure diagnostics, monitoring, and analytics
    • Retrieve diagnostics data, view streaming logs, configure endpoint monitoring, configure alerts, configure diagnostics, use remote debugging, monitor website resources
  • Implement web jobs
    • Write web jobs using the SDK, package and deploy web jobs, schedule web jobs
  • Configure websites for scale and resilience
    • Configure auto-scale using built-in and custom schedules, configure by metric, change the size of an instance, configure Traffic Manager
  • Design and implement applications for scale and resilience
    • Select a pattern, implement transient fault handling for services, respond to throttling, disable Application Request Routing (ARR) affinity
    • Deploy workloads on Azure virtual machines (VMs)
      • Identify workloads that can and cannot be deployed, run workloads including Microsoft and Linux, create VMs
    • Create and manage a VM image or virtual hard disk
      • Create specialized and reusable images, prepare images using SysPrep and Windows Agent (Linux), copy images between storage accounts and subscriptions, upload VMs
Day 2
  • Perform configuration management
    • Automate configuration management by using PowerShell Desired State Configuration and VM Agent (custom script extensions); configure VMs using a configuration management tool, such as puppet or chef; enable remote debugging
  • Configure VM networking
    • Configure reserved IP addresses, access control list (ACL), DNS at the cloud service level, load balancing endpoints, HTTP and TCP health probes, public IPs, firewall rules, direct server return, and keep-alive
  • Scale VMs
    • Scale up and scale down VM sizes, configure auto-scale and availability sets
  • Design and implement VM storage
    • Configure disk caching, plan for storage capacity, configure shared storage using Azure File service, configure geo-replication
  • Monitor VMs
    • Configure endpoint monitoring, configure alerts, configure diagnostic and monitoring storage location
  • Design and develop a cloud service
    • Install SDKs, install emulators, develop a web role or worker role, design and implement resiliency including transient fault handling, develop startup tasks
  • Configure cloud services and roles
    • Configure HTTPS endpoint and upload an SSL certificate, and instance count and size; configure network access rules, local storage, multiple websites, custom domains, and dedicated and co-located caching; scale up and scale down role sizes; configure auto-scale
  • Deploy a cloud service
    • Upgrade an automatic, manual, or simultaneous deployment; VIP swap a deployment; package a deployment; implement continuous deployment from Visual Studio Online (VSO); implement runtime configuration changes using the portal; configure regions and affinity groups
  • Monitor and debug a cloud service
    • Configure diagnostics using the SDK or configuration file, profile resource consumption, enable remote debugging, establish a connection using Remote Desktop CmdLets in Windows PowerShell, debug using IntelliTrace or the emulator
Day 3
  • Implement Azure Storage blobs and Azure files
    • Read data, change data, set metadata on a container, store data using block and page blobs, stream data using blobs, access blobs securely, implement async blob copy, configure Content Delivery Network (CDN), design blob hierarchies, configure custom domains, scale blob storage
  • Implement Azure storage tables
    • Implement CRUD with and without transactions, design and manage partitions, query using OData; scale tables and partitions
  • Implement Azure storage queues
    • Add and process messages, retrieve a batch of messages, scale queues
  • Manage access
    • Generate shared access signatures, including client renewal and data validation; create stored access policies; regenerate storage account keys; configure and use Cross-Origin Resource Sharing (CORS)
  • Monitor storage
    • Set retention policies and logging levels, analyze logs
  • Implement SQL databases
    • Choose the appropriate database tier and performance level, configure and perform point in time recovery, enable geo-replication, import and export data and schema, scale SQL databases
  • Integrate an app with Azure Active Directory
    • Develop apps that use WS-federation, OAuth, and SAML-P endpoints; query the directory using graph API
  • Configure a virtual network
    • Deploy a VM into a virtual network, deploy a cloud service into a virtual network
  • Modify network configuration
    • Modify a subnet, import and export network configuration
  • Design and implement a communication strategy
    • Develop messaging solutions using service bus queues, topics, relays, and notification hubs; create service bus namespaces and choose a tier; scale service bus
  • Monitor communication
    • Monitor service bus queues, topics, relays, and notification hubs
  • Implement caching
    • Implement Redis caching, implement Azure Cache Service