Book Image

Azure for Developers. - Second Edition

By : Kamil Mrzygłód
Book Image

Azure for Developers. - Second Edition

By: Kamil Mrzygłód

Overview of this book

Microsoft Azure is currently one of the fastest growing public cloud service providers thanks to its sophisticated set of services for building fault-tolerant and scalable cloud-based applications. This second edition of Azure for Developers will take you on a journey through the various PaaS services available in Azure, including Azure App Service, Azure Functions, and Azure SQL Databases, showing you how to build a complete and reliable system with ease. Throughout the book, you’ll discover ways to enhance your skills when building cloud-based solutions leveraging different SQL/NoSQL databases, serverless and messaging components, containerized solutions, and even search engines such as Azure Cognitive Search. That’s not all!! The book also covers more advanced scenarios such as scalability best practices, serving static content with Azure CDN, and distributing loads with Azure Traffic Manager, Azure Application Gateway, and Azure Front Door. By the end of this Azure book, you’ll be able to build modern applications on the Azure cloud using the most popular and promising technologies to make your solutions reliable, stable, and efficient.

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Table of Contents (32 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Download the color images
Conventions used
Get in touch
Share Your Thoughts
1
Part 1: PaaS and Containers
Part 1: PaaS and Containers
Free Chapter
2
Chapter 1: Web Applications in Azure – Azure App Service
Chapter 1: Web Applications in Azure – Azure App Service
Technical requirements
Creating and deploying an Azure App Service resource
Working with different operating systems and platforms
Choosing the right App Service plan and exploring what its features are
Securing App Service resources using different security providers
Configuring networking for Azure App Service
Summary
Questions
Further reading
3
Chapter 2: Using Azure Container Registry for Storing and Managing Images
Chapter 2: Using Azure Container Registry for Storing and Managing Images
Technical requirements
Different hosting options for Azure Container Registry
Registries, repositories, and images
Summary
Questions
Further reading
4
Chapter 3: Deploying Web Applications as Containers
Chapter 3: Deploying Web Applications as Containers
Technical requirements
Different ways of hosting containerized applications
Azure App Service – a web app for containers
Azure Kubernetes Service – a managed Kubernetes service
Summary
Questions
Further reading
5
Chapter 4: Using Azure Container Instances for Ad Hoc Application Hosting
Chapter 4: Using Azure Container Instances for Ad Hoc Application Hosting
Technical requirements
Provisioning and configuring a service
Container groups as the main unit of work
Security baseline and considerations
Summary
Questions
Further reading
6
Chapter 5: Building a Search Engine with Azure Cognitive Search
Chapter 5: Building a Search Engine with Azure Cognitive Search
Technical requirements
Creating an Azure Cognitive Search instance
A full-text search in Azure Cognitive Search
Linguistic analysis in a full-text search
Indexing in Azure Cognitive Search
Cognitive Search – adding AI to the indexing workload
Summary
Questions
Further reading
7
Chapter 6: Mobile Notifications with Notification Hubs
Chapter 6: Mobile Notifications with Notification Hubs
Technical requirements
Reasons to use Notification Hubs
Push notification architecture
Registering a device within Notification Hubs
Sending notifications to multiple vendors
Sending a rich content notification through Notification Hubs
Summary
Questions
Further reading
8
Part 2: Serverless and Reactive Architecture
Part 2: Serverless and Reactive Architecture
9
Chapter 7: Serverless and Azure Functions
Chapter 7: Serverless and Azure Functions
Technical requirements
Understanding Azure Functions
Configuring the local environment for developing Azure Functions
Creating a function
The features of Azure Functions
Integrating functions with other services
Summary
Questions
Further reading
10
Chapter 8: Durable Functions
Chapter 8: Durable Functions
Technical requirements
What is Durable Functions?
Working with orchestrations
Timers, external events, and error handling
Eternal and singleton orchestrations, stateful entities, and task hubs
Advanced features – instance management, versioning, and high availability
Summary
Questions
Further reading
11
Chapter 9: Integrating Different Components with Logic Apps
Chapter 9: Integrating Different Components with Logic Apps
Technical requirements
What is Azure Logic Apps?
Connectors for logic apps
Creating logic apps and integrating services
B2B integration
Integrating with virtual networks
Summary
Questions
Further reading
12
Chapter 10: Swiss Army Knife – Azure Cosmos DB
Chapter 10: Swiss Army Knife – Azure Cosmos DB
Technical requirements
Understanding Cosmos DB
Partitioning, throughput, and consistency
Azure Cosmos DB models and APIs
Capacity, autoscale, and optimization
Using change feed for change tracking
Summary
Questions
Further reading
13
Chapter 11: Reactive Architecture with Event Grid
Chapter 11: Reactive Architecture with Event Grid
Technical requirements
Azure Event Grid and reactive architecture
Connecting services through Azure Event Grid
Using different schemas in Event Grid
Receiving and filtering events
Summary
Questions
Further reading
14
Part 3: Storage, Messaging, and Monitoring
Part 3: Storage, Messaging, and Monitoring
15
Chapter 12: Using Azure Storage – Tables, Queues, Files, and Blobs
Chapter 12: Using Azure Storage – Tables, Queues, Files, and Blobs
Technical requirements
Using Azure Storage in a solution
Storing structured data with Azure Storage tables
Implementing fully managed file shares with Azure Files
Using queues with Azure Queue Storage
Using Azure Storage blobs for object storage
Summary
Questions
Further reading
16
Chapter 13: Big Data Pipeline – Azure Event Hubs
Chapter 13: Big Data Pipeline – Azure Event Hubs
Technical requirements
Working with Azure Event Hubss
Federation – events replication
Azure Event Hubs security
Azure Event Hubs Capture feature
Summary
Questions
Further reading
17
Chapter 14: Real-Time Data Analysis – Azure Stream Analytics
Chapter 14: Real-Time Data Analysis – Azure Stream Analytics
Technical requirements
Introducing Azure Stream Analytics
Defining available input and output types
Querying data using theAzure Stream Analytics query language
Event ordering, checkpoints, and replays
Common query patterns
Summary
Questions
Further reading
18
Chapter 15: Enterprise Integration – Azure Service Bus
Chapter 15: Enterprise Integration – Azure Service Bus
Technical requirements
Azure Service Bus fundamentals
Azure Service Bus security
Advanced features of Azure Service Bus
Handling outages and disasters
Summary
Questions
Further reading
19
Chapter 16: Using Application Insights to Monitor Your Applications
Chapter 16: Using Application Insights to Monitor Your Applications
Technical requirements
Using the Azure Application Insights service
Monitoring different platforms
Using the Logs module
Automating Azure Application Insights
Summary
Questions
Further reading
20
Chapter 17: SQL in Azure – Azure SQL
Chapter 17: SQL in Azure – Azure SQL
Technical requirements
Differences between Microsoft SQL Server and Azure SQL
Creating and configuring an Azure SQL Database instance
Security features of Azure SQL
Scaling Azure SQL
Monitoring and tuning
Summary
Questions
Further reading
21
Chapter 18: Big Data Storage – Azure Data Lake
Chapter 18: Big Data Storage – Azure Data Lake
Technical requirements
Understanding ADLS
Storing data in ADLS Gen2
Security features of ADLS Gen2
Best practices for working with ADLS
Summary
Questions
Further reading
22
Part 4: Performance, Scalability, and Maintainability
Part 4: Performance, Scalability, and Maintainability
23
Chapter 19: Scaling Azure Applications
Chapter 19: Scaling Azure Applications
Technical requirements
Autoscaling, scaling up, scaling out
Scaling Azure App Service
Scaling Azure Functions
Scaling Azure Cosmos DB
Scaling Azure Event Hubs
Summary
Questions
Further reading
24
Chapter 20: Serving Static Content Using Azure CDN
Chapter 20: Serving Static Content Using Azure CDN
Technical requirements
Azure CDN fundamentals
Optimization and caching
Developing applications using Azure CDN
Summary
Questions
Further reading
25
Chapter 21: Managing APIs with Azure API Management
Chapter 21: Managing APIs with Azure API Management
Technical requirements
The main concepts of Azure API Management
Guidelines for designing APIs
Basics of Azure API Management policies with examples
Automated management of the service
Summary
Questions
Further reading
26
Chapter 22: Building a Scalable Entry Point for Your Service with Azure Front Door
Chapter 22: Building a Scalable Entry Point for Your Service with Azure Front Door
Technical requirements
When to use Azure Front Door
Load balancing with Azure Front Door
Implementing URL rewrites and redirects
Summary
Questions
Further reading
27
Chapter 23: Azure Application Gateway as a Web Traffic Load Balancer
Chapter 23: Azure Application Gateway as a Web Traffic Load Balancer
Technical requirements
Azure Application Gateway features
Configuring routing
Integrating with web applications
URL rewriting and redirects
Summary
Questions
Further reading
28
Chapter 24: Distributing Load with Azure Traffic Manager
Chapter 24: Distributing Load with Azure Traffic Manager
Technical requirements
Using Azure Traffic Manager
Endpoint monitoring
Summary
Questions
Further reading
29
Chapter 25: Tips and Tricks in Azure
Chapter 25: Tips and Tricks in Azure
Technical requirements
Using the Azure CLI
Using Cloud Shell
Automating infrastructure deployments with ARM templates and Azure Bicep
Using continuous deployment for automated deployments to Azure
Summary
Questions
Further reading
30
Index
Index
Why subscribe?
31
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Big Data Pipeline – Azure Event Hubs

Azure Event Hubss is one of the best solutions for introducing an entry point with almost limitless throughput. It’s designed for big data workloads and can process millions of messages per second. It offers a very simple configuration, and thanks to the available SDK, you can easily adjust it to almost any solution developed in the cloud. It also integrates natively with other Azure components, making creating a whole platform hosted in the cloud a breeze.

In this chapter, the following topics will be covered:

  • Working efficiently with Azure Event Hubss
  • Different concepts such as publishers, partitions, throughput units (TUs), or consumer groups
  • Azure Event Hubss security concepts
  • Azure Event Hubss capture feature
  • Working with events replication and multi-region federation of streams
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