Build large-scale, mission-critical hardened applications on the Azure cloud platform. This 2nd edition provides information on the newer features in Azure, such as Linux extensions and supporting Azure Services such as HDInsight and SQL Server on Linux. Updated with new applications Hardening Azure Applications also discusses Scale Sets (VMSS), a major upgrade that enables autoscaling and seamlessly makes machines ready for high availability.

The authors take you step by step through the process of evaluating and building applications with the appropriate hardness attributes. After a small introduction to cloud computing, you will learn about various cloud and hardened cloud applications in detail. Next, you will discover service fundamentals such as instrumentation, telemetry, and monitoring followed by key application experiences. Further, you will cover availability and the economics of 9s. Towards the end, you will see how to secure your applicationand learn about the modernization of software organisations, a new topic in this edition.

After reading this book, you will master the techniques and engineering principles that every architect and developer needs to know to harden their Azure/.NET applications to ensure maximum reliability and high availability when deployed at scale.

You will:

• Use techniques and principles to harden Azure/.NET applications
• Secure your applications on Azure
• Create a scale set on Azure

• Work with service fundamentals such as instrumentation, telemetry, and monitoring

  Autorentext
  Suren Machiraju is an Innovator with over 20 patents relating to Electronic Document Interchange and Transport Protocols. He is a global team's manager with 10+ years' experience in leading and mentoring engineering teams, with substantial experience in vendor management, multi-site and globally distributed teams. He also has 15+ years' experience in delivering software as server (Premise) and Azure (Public Cloud) platforms including 10+ ship/release cycles at Microsoft. Suren enjoys sharing his knowledge and experiences with the community and has authored multiple books around large scale application development.

Suraj Gaurav is a Cloud Leader working with Microsoft in Greater Seattle area. He has 12 years' experience in building large scale services and software systems. He has worked in Microsoft for the last 10 years in various groups including O365/Exchange Online, Commerce Platform and BizTalk server.

Inhalt

Chapter 1: Introducing the Cloud Computing Platform

Cloud and Platform

Relevance of the Cloud Platform

Cloud Platform Benefits

Your Application and Cloud Platform Matchup

Does Your Application Belong on the Cloud Platform?

On-premises and Cloud Platform Integration

Heterogeneity of the Cloud Platform

Trust and Security

Cloud Platform Services

Compute Services

Networking

Storage and Data Services

App Services

Summary

Chapter 2: Cloud Applications

Cloud Application and Platforms

What's aaS?

Platform Types

Infrastructure-as-a-Service (IaaS)

Platform-as-a-Service (PaaS)

Software-as-a-Service (SaaS)

Other Cloud Application Platforms

Cloud Web Services

Cloud Managed Services

Cloud Application Deployment Models

Public Cloud Platform

Private Cloud

Hybrid Cloud

Summary

Chapter 3: Hardened Cloud Applications

Hardened Applications

Hello World vs. Real World?

Real-World and Hardened Applications

Availability

Reliability

Scalability

Recoverability

Security

Low Latency

Modern Organization

Engineering

Support

Summary

Chapter 4: Service Fundamentals: Instrumentation,
Telemetry, and Monitoring

Instrumentation

Best practices for Designing the Instrumentation

High-value and High-volume Data

Event Tracing

Azure Diagnostics

Telemetry

Best Practices for Designing Telemetry

Monitoring

Typical Monitoring Solutions

Best Practices for Designing Monitoring

Vendor and Third-Party Solutions

Summary

Chapter 5: Key Application Experiences: Latency,
Scalability, and Throughput

Latency

Factors That Affect Latency

Best Practices

Scalability

Scaling Up

Scaling Out

Best Practices

Throughput

Best Practices

Summary

Chapter 6: Failures and Their Inevitability

Case Studies of Major Cloud Service Failures

Azure Blob Storage Failure Amazon Web Services Failure

Measuring Failures

Failure Categories

Hard Failure

Soft Failure

Gray Failures

Preparing for Failure

Design for Failure and a Quick Recovery

Minimizing Human Error

Summary

Chapter 7: Failures and Recovery

Design Best Practices

Failure Domains

Loose Coupling

Scale-Out to More, and for Cheaper

Testing Best Practices

Sandboxing

Scenario Testing

Failure-Detection Strategies

IaaS Virtual Infrastructure

PaaS Application

Databases

Storage

Network

Strategies for Recovery

Dev-Test-Ops Organization

Remote Script Execution

Summary

Chapter 8: High Availability, Scalability,
and Disaster Recovery

High Availability

Asynchronous Messaging

Atomic and Idempotent Services

Graceful Degradation

Offline Access

Scalability

Implementation Patterns

Disaster Recovery

PaaSSQL Offering

PaaSStorage

IaaSSQL Server as a Virtual Machine Offering

Summary

Chapter 9: Availability and Economics of 9s

Economics of 9s

Economics of (Non)-Availability

Computing Availability

Monitoring Availability

Enforcing Availability via SLA Designing fo...