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Microsoft Azure Julian Soh

Microsoft Azure By Julian Soh

Microsoft Azure by Julian Soh

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Microsoft Azure Summary

Microsoft Azure: Planning, Deploying, and Managing the Cloud by Julian Soh

Gain the technical and business insight needed to plan, deploy, and manage the services provided by the Microsoft Azure cloud. This second edition focuses on improving operational decision tipping points for the professionals leading DevOps and security teams. This will allow you to make an informed decision concerning the workloads appropriate for your growing business in the Azure public cloud.

Microsoft Azure starts with an introduction to Azure along with an overview of its architecture services such as IaaS and PaaS. You'll also take a look into Azure's data, artificial intelligence, and machine learning services. Moving on, you will cover the planning for and adoption of Azure where you will go through budgeting, cloud economics, and designing a hybrid data center. Along the way, you will work with web apps, network PaaS, virtual machines, and much more.

The final section of the book starts with Azure data services and big data with an in-depth discussion of Azure SQL Database, CosmosDB, Azure Data Lakes, and MySQL. You will further see how to migrate on-premises databases to Azure and use data engineering. Next, you will discover the various Azure services for application developers, including Azure DevOps and ASP.NET web apps. Finally, you will go through the machine learning and AI tools in Azure, including Azure Cognitive Services.

What You Will Learn

  • Apply design guidance and best practices using Microsoft Azure to achieve business growth
  • Create and manage virtual machines
    • Work with AI frameworks to process and analyze data to support business decisions and increase revenue
  • Deploy, publish, and monitor a web app

    • Who This Book Is For

    Azure architects and business professionals looking for Azure deployment and implementation advice.

    About Julian Soh

    Julian Soh is a cloud solutions architect with Microsoft, focusing in the areas of artificial intelligence, cognitive services, and advanced analytics. Prior to his current role, Julian worked extensively in major public cloud initiatives, such as SaaS (Microsoft Office 365), IaaS/PaaS (Microsoft Azure), and hybrid private-public cloud implementations.

    Marshall Copeland is a security architect focused on kill chain defenses in public cloud deployments using cloud native and third-party cyber solutions. His work focuses on security in hybrid cloud deployments, secure DevOps, and security partner cloud integrations that enhance blue team hunting efficiencies.

    Anthony Puca is a director of azure apps and infrastructure in Microsoft's United States Federal Government division. Anthony has been consulting with US federal government departments and agencies on private, public, and hybrid cloud technologies for the last three years.

    Micheleen Harris is a technical program manager at Microsoft focusing on AI and machine learning. She has been a developer for over ten years and has a data science focus. She has designed and delivered many courses and given talks at large conferences such as Microsoft /build and ODSC West.




    Table of Contents

    PART I Introducing Microsoft Azure

    Ch 1. Microsoft Azure and Cloud Computing

    Overview of Microsoft Azure services

    Azure concepts

    Availability Zones

    Security, Compliance, and Privacy primer

    Azure licensing and cost management concepts

    Subscriptions

    Ch 2. Overview of Azure Infrastructure-as-a-Service (IaaS) services

    Azure Virtual Machines

    Azure Networking

    Hybrid data center design concepts (private-public cloud)

    Hybrid data center operations and monitoring

    IaaS security considerations

    Ch 3. Overview of Azure Platform-as-a-Service

    Azure Storage Accounts

    Azure WebApps

    Azure Database Services

    Azure PaaS networking services

    Azure Machine Learning and Cognitive Services

    Azure Load Balancers

    Azure Batch

    Ch 4. Azure AppDev Services Overview

    Azure DevOps and GitHub

    Azure IaaS as code

    Visual Studio

    Containers - AKS

    5. Ethical AI, Azure AI, and Machine Learning

    Azure for the modern Data Engineers

    Azure SQL Database

    Azure SQL Managed Instance

    Azure SQL Data Warehouse

    Azure Cosmos DB

    Azure Data Lake Service (gen 2)

    Azure Data Factory v2

    Cognitive Services

    Artificial Intelligence and Machine Learning

    PART II Planning and adopting Azure

    6. Budgeting and cloud economics

    Using assessment tools - Microsoft Movere

    Understanding Cloud Economics - CapEx vs OpEx

    Forecasting and other cost saving features

    Autoscaling

    Reserved Instances

    Service Level Agreement in LRS vs GRS

    Azure Cost Mgmt and Billing

    7. Designing a Hybrid Data Center

    Networking considerations

    PaaS Considerations

    Identity and Access Management

    Security and monitoring

    8.Tools, training, and upskilling existing IT personnel

    Available and required minimum training

    Assembling the toolkit for the Cloud engineer

    PowerShell ISE

    Visual Studio Code

    Azure Storage Explorer

    ARM Templates

    Hashicorp Terraform

    Source control

    Common Mistakes

    PART III Using Azure for Infrastructure-as-a-Service (IaaS)

    9. Implementing Azur networking

    Designing and implementing Virtual Networks (vNets)

    Implementing Site-to-Site VPN

    Implementing ExpressRoute

    ER Direct

    Global Reach

    Implementing Network Security Groups

    Implementing Security and Monitoring for networks

    Network Watcher

    Network Perforamance Monitor

    Autoscaling

    10. Virtual Machines

    Creating and managing Virtual Machines

    Operating Systems (Windows, Linux)

    Gallery Image

    Customer Image

    VM Disks

    Monitoring and health of VM

    Securing VM

    Automation

    Troubleshooting

    Improving VM availability

    Availability Groups

    Disaster Recovery

    Azure Site Recovery (ASR)

    11. Infrastructure-as-code

    Your first Infrastructure-as-code exercise

    Deploying VMs with code

    Deploying virtual networks with code

    Addressing dependencies

    Troubleshooting your code

    Source control

    PART IV Adopting Platform-as-a-Service (PaaS)

    12. Azure WebApps

    Deploying a WebApp

    Publishing to a WebApp

    Monitoring and securing WebApps

    Azure Security Center for WebApps

    Integrating authentication for WebApps

    Leveraging Azure Active Directory

    B2B and B2C

    Multi-factor authentication

    Troubleshooting

    Use Case: Azure Drupal+MySQL PaaS

    13 Network PaaS

    Web Application Firewall (WAF)

    Load Balancer

    Azure DNS

    Azure Traffic Manager

    Azure Front Door Service

    Azure Private Link

    Content Delivery Network (CDN)

    Azure DDoS Protection

    Azure Firewall

    Use Case: Implement Azure Front Door Service

    14 Azure Storage

    Azure Blob Storage

    Azure Queues

    Azure Files

    Use Case: Using Azure Storage Explorer

    PART V Azure Data Services and Big Data

    15. Azure Database Services

    Azure SQL Database

    Azure SQL Database

    Azure SQL Database Serverless

    Azure SQL Database Managed Instance (MI)

    Azure SQL Data Warehouse

    Azure CosmosDB

    Azure Database for MySQL

    Azure Tables

    Azure Data Lake Services (ADLS)

    Determining the right Data Services to use

    16 Migrating on-premises databases to Azure

    Database Migration Assistant (DMA)

    Azure Database Migration Service

    17 Data Engineering

    Data Engineering and Estate

    Extract, transform, and loading data (ETL vs ELT)

    Data sharing with Azure Data Share

    Azure Data Factory

    Pipelines, activities, and datasets

    Orchestrating Data Copies

    Azure Data Flow (Preview)

    Use Case: Copying, combining, and enriching data

    PART VI Azure services for application developers

    18. Developing Azure-based applications

    Considerations for Cloud-first development practices

    Use case: Build and publish an ASP.Net WebApp

    Containers and AKS

    Use case: Build a .Net Core WebApp in Docker

    Monitoring application health and performance in Azure

    Designing IoT solutions

    19. Azure DevOps

    Introducing Azure DevOps

    Azure Repos

    Azure Pipelines

    Azure Boards

    Azure Test Plans

    Azure Artifacts

    GitHub

    Use case: Development lifecycle demo using Azure Repo/GitHub, Pipelines, and CI/CD

    PART VII Intelligent Cloud - Machine Learning and Artificial Intelligence

    20. Azure Cognitive Services (COGS)

    Introducing COGS

    QnAmaker.ai

    Use Case: ChatBots

    21. Machine Learning and Deep Learning

    Azure Machine Learning overview

    Databricks/Spark overview

    Use case: Azure Databricks for data scientists

    Data preparation

    ML Modeling using Azure Auto ML

    Build DNN for classification

    Parallel and distributed training

    IoT and Edge IoT devices

    Use case: Real world examples


    Additional information

    NLS9781484259573
    9781484259573
    1484259572
    Microsoft Azure: Planning, Deploying, and Managing the Cloud by Julian Soh
    Julian Soh
    New
    Paperback
    APress
    2020-07-25
    533
    N/A
    Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
    This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

    Customer Reviews - Microsoft Azure