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Robust Cloud integration with Azure

Robust Cloud integration with Azure

By : Gyanendra Kumar Gautam , Martin Abbott, Corbould, Mahindra Morar, Abhishek Kumar, Bhambhani
2.5 (2)
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Robust Cloud integration with Azure

Robust Cloud integration with Azure

2.5 (2)
By: Gyanendra Kumar Gautam , Martin Abbott, Corbould, Mahindra Morar, Abhishek Kumar, Bhambhani
Buy this Book

Overview of this book

Any software developers, architects, and technical managers lookng to learn about Azure IaaS essentials need look no further. This book is ideal for Microsoft Enterprise developers, DevOps or any IT professionals looking to connect cloud-based and on-premises systems with Azure.
Table of Contents (16 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. An Introduction to Systems Integration in the Cloud
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1. An Introduction to Systems Integration in the Cloud
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What is Azure?
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What is cloud computing?
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Types of microservices
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Summary
2
2. What Is an Azure App Service?
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2. What Is an Azure App Service?
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What is an Azure App Service?
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App Service plans
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An overview of our sample solution
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Summary
3
3. Getting Started with API Apps
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3. Getting Started with API Apps
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Why use API Apps?
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Building, hosting, and consuming your first API App
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Security
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What is App Service authentication and authorization?
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Summary
4
4. What is Azure API Management?
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4. What is Azure API Management?
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The anatomy of Azure API Management
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Working with Azure API Management
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Policies in Azure API Management
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Securing your API in Azure API Management
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Monitoring your API
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Summary
5
5. Trigger Your First Logic App in Azure
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5. Trigger Your First Logic App in Azure
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An introduction to Logic App
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The comparison between BizTalk server and Logic Apps
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Why and when to use
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Diagnosing Logic Apps
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Building your first Logic App
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Logic Apps using Visual Studio
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Summary
6
6. Working with Connectors in Logic Apps
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6. Working with Connectors in Logic Apps
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Categorizing Microsoft connectors
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Types of triggers
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Connector as an action
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Building your first connector
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Make your connector work for Logic Apps
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Adding summary and XML Documentation
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Discovering partion keys in the storage table
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Summary
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7. Azure Functions in Logic Apps
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7. Azure Functions in Logic Apps
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The basics of Azure Functions
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Building Azure Functions
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Using functions with Logic Apps
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Other considerations
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Summary
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8. A Deep Dive into Logic Apps
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8. A Deep Dive into Logic Apps
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Workflow definition language
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Parameters
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Output
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Content type in Logic Apps
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Flow controls, SplitOn, and scope in Logic Apps
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Exception handling in Logic Apps
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Summary
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9. Powerful Integration with SaaS Using Logic Apps
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9. Powerful Integration with SaaS Using Logic Apps
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Exploring the Logic App SaaS connectors
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Hooking up to SaaS solutions using the SaaS connectors
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Summary
10
10. Advanced Integration with Powerful, Scalable Service Bus in the Cloud
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10. Advanced Integration with Powerful, Scalable Service Bus in the Cloud
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Service Bus types
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Service Bus tiers
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Service Bus Queue characteristics
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Retrieving messages off a queue
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Deferring message processing
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Security
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Managing Service Bus outages and disasters
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Service Bus topics
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Subscriptions
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Partitioned queues/topics
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Administration tools
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Summary
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11. Connecting to Event Hubs and an Introduction to IoT Hubs
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11. Connecting to Event Hubs and an Introduction to IoT Hubs
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An introduction to Event Hubs
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Introduction to Azure IoT Hubs
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Scenario - bringing it all together
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Summary
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12. EAI/B2B Integration Using Logic Apps
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12. EAI/B2B Integration Using Logic Apps
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Enterprise Integration Pack for Logic Apps
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Enterprise messaging in Logic Apps
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Enterprise Integration Pack connectors
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Add partners in your workflow
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Store custom metadata information in Integration Accounts artifacts
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Summary
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13. Hybrid Integration Using BizTalk Server 2016 and Logic Apps
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13. Hybrid Integration Using BizTalk Server 2016 and Logic Apps
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Hybrid Integration
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Why Hybrid Integration?
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Message exchange pattern
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What is a BizTalk Server?
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Connecting on-premise BizTalk Server 2016 with Azure Logic App
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Connecting Azure Logic App with on-premise BizTalk Server 2016
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Summary
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14. Tooling and Monitoring for Logic Apps
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14. Tooling and Monitoring for Logic Apps
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Tools to monitor Azure resources
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Azure Resource Management templates
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Creating ARM Template using Visual Studio
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Manual deployments of App Services
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Continuous deployment
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Monitoring
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Logic App monitoring
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Logic App message logging with Azure Functions Application Insights
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Summary
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15. Whats Next for Azure Integration?
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15. Whats Next for Azure Integration?
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An integration roadmap for the future
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What and when of Microsoft Azure integration
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Business productivity transformation
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Final thoughts

Message exchange pattern

The Message Exchange Pattern (MEP) is an architecture design, which describes how two or more parties will connect and exchange messages amongst themselves. Understanding different MEP options is crucial to create correct architecture design for the Hybrid Integration solution.

There are three MEPs.

Datagram or one-way pattern

Datagram MEP uses one-way messaging pattern with fire and forget rule. In Datagram MEP, the message is sent with unidirectional and asynchronously without waiting for reply from the receiver. The number of message recipients can be single (point-to-point), a list of recipients (multicast), or a broadcast with a publish-subscribe mechanism:

Datagram or one-way pattern

Datagram or one-way messaging communication is a powerful way to build more event-driven applications and take advantage of non-blocking service invocation patterns.

One-way messaging pattern is a fundamental concept, which can be extended within other transport protocol. It has multiple benefits that can be...

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