Cloud Observability with Azure Monitor 1st Edition by Jose Angel Fernandez ISBN 1835881181 9781835881187 by José Ángel Fernández | Manuel Lázaro Ramírez instant download after payment.

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ISBN 10: 1835881181 
ISBN 13: 9781835881187
Author: Jose Angel Fernandez

Implement real-time monitoring, visualization, analytics, and troubleshooting strategies on Azure to ensure optimal performance and reliability in your cloud environment

Key Features
Monitor Azure-native, hybrid, and multi-cloud infrastructure effectively
Design proactive incident responses and visualization dashboards for configuring, optimizing, and monitoring data
Implement strategies for monitoring Azure applications using real-world case studies
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Cloud observability is complex and costly due to the use of hybrid and multi-cloud infrastructure as well as various Azure tools, hampering IT teams’ ability to monitor and analyze issues. The authors distill their years of experience with Microsoft to share the strategic insights and practical skills needed to optimize performance, ensure reliability, and navigate the dynamic landscape of observability on Azure. You’ll get an in-depth understanding of cloud observability and Azure Monitor basics, before getting to grips with the configuration and optimization of data sources and pipelines for effective monitoring. You’ll learn about advanced data analysis techniques using metrics and the Kusto Query Language (KQL) for your logs, design proactive incident response strategies with automated alerts, and visualize reports via dashboards. Using hands-on examples and best practices, you’ll explore the integration of Azure Monitor with Azure Arc and third-party tools, such as Datadog, Elastic Stack, or Dynatrace. You’ll also implement artificial intelligence for IT Operations (AIOps) and secure monitoring for hybrid and multi-cloud environments, aligned with emerging trends. By the end of this book, you’ll be able to develop robust and cost-optimized observability solutions for monitoring your Azure infrastructure and apps using Azure Monitor.
What you will learn
Get a holistic overview of cloud observability with Azure Monitor
Configure and optimize data sources to monitor Azure solutions
Analyze logs and metrics using advanced data analysis techniques with KQL
Design proactive incident response strategies with automated alerts
Visualize monitoring data through impactful dashboards and reports
Extend observability to hybrid and multi-cloud environments with Azure Arc
Build and implement monitoring solutions on Azure, aligned with industry standards
Who this book is for
If you're a seasoned cloud engineer, cloud architect, DevOps engineer, SRE, or an aspiring cloud practitioner eager to elevate your observability skills on Azure and implement monitoring strategies using Azure Monitor, then this book is for you. A basic understanding of Azure cloud services, cloud infrastructure management, and network virtualization will be helpful.

Cloud Observability with Azure Monitor 1st Table of contents:

Part 1:Fundamentals of Observability and Azure Monitor
Chapter 1: Introduction to Observability with Azure Monitor
Are observability and monitoring the same?
Understanding cloud observability fundamentals
The three pillars of observability
Cloud observability tools and techniques
Real-time insights for performance optimization
Enhancing reliability through observability
Securing cloud environments with observability
Azure Monitor, your cloud observability platform
A brief history of Azure Monitor
Real-time insights and performance optimization using Azure Monitor
Enhancing reliability through observability with Azure Monitor
Securing cloud environments with Azure Monitor
Summary
Chapter 2: Understanding Azure Monitor Components and Functions
Technical requirements
Introduction to Azure Monitor components
Data sources
Data Storage
Data consumption
Metrics and performance monitoring
Log Analytics and data insights
Alerting and actionable intelligence
Configuring and deploying Azure Monitor – a hands-on example with an Azure VM
Summary
Further reading
Chapter 3: Exploring Azure Monitor Data Sources and the Ingestion Pipeline
Technical requirements
Azure Monitor data sources
System logs and metrics – monitoring the infrastructure backbone
Azure tenant data – Microsoft Entra ID activity logs
Azure subscription – Azure activity logs
Azure resources – resource logs and platform metrics
Operating system (guest) – AMA and Dependency Agent
Custom application data – Azure Monitor Application Insights
Custom data sources – Azure Monitor REST API
Custom metrics – tailoring monitoring to your needs
Authentication and authorization when sending custom metrics
Custom metric schema
Sending a custom metric
Viewing custom metrics
External telemetry – integrating insights from external sources
Creating an app registration and secret
Creating a DCE
Creating a custom table in a Log Analytics workspace
Creating a DCR
Assigning the Monitoring Metrics Publisher role to the app
Sending data to the Logs Ingestion API
Understanding the data ingestion pipeline in Azure Monitor
Data collection pipeline and DCRs
DCR associations
Transformation types
Summary
Further reading
Part 2: Working with Azure Monitor
Chapter 4: Analyzing Your Data Using Logs and Metrics
Technical requirements
Understanding Basic Logs and Analytics Logs
Basic Logs
Analytics Logs
Selecting the log type for a table
Querying in Log Analytics with KQL
Understanding the Log Analytics interface
Structure of KQL queries
Querying limitations for Basic Logs
Parsing log capabilities to simplify querying
Harnessing metrics for in-depth analysis
Accessing Azure Metrics Explorer
Understanding metric aggregations
Understanding metric dimensions
Summary
Further reading
Chapter 5: Responding to Monitoring Events
Technical requirements
Configuring proactive alerts in Azure Monitor
Metric alert rules
Log search alert rules
Activity log alert rules
Automated responses to monitoring events
Action groups, actions, and notifications
Alert processing rules
Threshold definition for effective alerting
Why are thresholds so important?
Factors influencing threshold definitions
Best practices in threshold definition
Establishing an incident response plan
Identifying the critical resources and services in the Azure Environment
Leveraging Azure Monitor for incident detection
Organizing incident response actions
Executing incident response actions
Enhancing the incident response plan through continuous improvement and learning
Summary
Further reading
Chapter 6: Visualizing Your Logs and Metrics
Technical requirements
Exploring Azure visualization tools
Azure Monitor Insights
Azure Workbooks
Azure dashboards
Microsoft Power BI on Azure
Azure Managed Grafana
Choosing the right visualization tool
Building a custom monitoring workbook – a hands-on example
Summary
Further reading
Chapter 7: Application Observability and Performance Monitoring with Application Insights
Technical requirements
Understanding Application Insights fundamentals
Why use Application Insights?
Instrumenting code for monitoring
Differences between automatic instrumentation and manual instrumentation
Alternatives for collecting telemetry data in Application Insights
Application Health monitoring through out-of-the-box experiences
Preparing our environment and an example .NET Core application
Diagnostics implementation for application health
The Live metrics view
The application dashboard
The Failures view
The Performance view
Logging and tracing for deep insights
Configuring log collection in our application
Customizing the information collected through the trace API
Expanding your tracing to external dependencies
Ensuring optimal user experiences through observability
The Availability view
User behavior analytics view
Summary
Further reading
Part 3: The Road Ahead with Azure Observability
Chapter 8: Hybrid and Multi-Cloud Monitoring
Technical requirements
Extending Observability with Azure Arc
Harnessing the power of Azure Monitor in multi-cloud environments
Integrating Azure Monitor with SCOM Managed Instance
Best practices for using Azure Monitor with SCOM Managed Instance
Lab – Configuring Azure Monitor with Arc for AWS
Summary
Further reading
Chapter 9: Integrating with Third-Party Tools
Technical requirements
Exploring integration possibilities with Azure Monitor
Using Azure Monitor REST API
Using Azure PowerShell and CLI for log extraction
Exporting logs and metrics to Azure Storage or Azure Event Hubs
Leveraging external solutions for enhanced observability
Azure Native Datadog
Azure Native Elastic Cloud
Azure Native Logz.io
Azure Native Dynatrace
Azure Native New Relic
Additional third-party services for integration
Summary
Further reading
Chapter 10: Building Your Monitoring Strategy
Technical requirements
Design principles for enhanced observability
Strategies for scaling monitoring in large and dynamic cloud environments
The shared responsibility model and your monitoring strategy
Understanding the shared responsibility model
Implications for your monitoring strategy
Recommended approach for implementing a shared responsible monitoring strategy
The role of the Azure Well-Architected Framework and Azure landing zones
Azure Well-Architected Framework
Azure landing zones
Summary
Further reading
Chapter 11: Cost Management and Optimization
Technical requirements
Efficient resource utilization strategies
Principle #1 – The biggest savings come from data you don’t ingest
Principle #2 – More savings from data you avoid processing
Principle #3 – Reduce the data in use if it is not necessary
Principle #4 – Manage alerts and notifications wisely
Understanding Azure Monitor’s pricing model
Logs
Metrics
Alerts
Notifications
Cost control measures in Azure Monitor
Estimating your Azure Monitor Logs costs – a hands-on example
Summary
Chapter 12: Future Trends and Looking Ahead
AI-driven analytics for predictive observability
AI-powered assistants for observability
Serverless observability – monitoring the unseen
Techniques and tools for serverless observability
Evolving standards in cloud observability
Summary
Further reading
Appendix
Technical requirements
Exploring customization options for tailored monitoring
Logs Ingestion API DCR structure
Azure Monitor Agent DCR structure (logAnalytics and azureMonitorMetrics as destinations)
AMA DCR structure (eventHubsDirect, storageBlobsDirect, and storageTablesDirect as destinations)
Event Hub DCR structure
Log Analytics workspace transformation DCR structure
Wrap-up
Index
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Tags: Jose Angel Fernandez, Observability, Azure