Learn the core building blocks of monitoring in Azure, including metrics, logs, dashboards, and alerts, to gain visibility into resource health and behavior.

Introduction to Azure Monitor

Exploring Azure Monitor

Responding to performance issues

Monitoring multiple resources

Collecting and viewing metrics

Collect metrics through storage interactions

Set up dashboards for unified observability

Metrics vs logs use cases

Automated monitoring with alerts

Create alert rule with email notification

Create cost alert for high transaction volume

Simultaneous alerts

Azure Monitor Fundamentals

Explore application-level monitoring, availability testing, and centralized log analysis to detect issues, track performance, and investigate failures.

Exploring Application Insights

Creating Application Insights

Connecting a function app to Application Insights

Monitoring applications

Availability tests

Configuring availability tests

Options

Ping Test

Standard Test

Custom Track Test

Classifying availability test types and features

Optimizing availability test configuration

Exploring Log Analytics

Creating and exploring a Log Analytics workspace

With Log Analytics

Without Log Analytics

Log Analytics workspace capabilities

Centralized logging benefits

Application Insights, Availability Tests and Log Analytics

Instrument applications for telemetry, visualize dependencies, and apply performance optimization techniques to troubleshoot and improve Azure solutions.

Instrumenting an app for monitoring

Enabling Application Insights for a web app

Exploring performance and live metrics

Autoinstrumentation and live telemetry

Application map

Exploring application map

Application map usage

Identifying performance bottlenecks

Optimizing performance

Performance optimization concepts

Performance optimization techniques

Optimizing latency

Instrumentation and troubleshooting

This course focuses on teaching developers how to effectively monitor, observe, and troubleshoot Azure-based applications and services. It is designed for learners who build cloud solutions and need clear visibility into how their systems behave in real-world scenarios, from resource health to application performance.

The course begins by introducing Azure Monitor and the core concepts of observability in the cloud. Learners explore how Azure collects metrics and logs, how dashboards provide a centralized view of system health, and how alerts help teams respond to issues proactively. Through guided exercises, learners work directly with Azure resources to generate metrics, visualize data, and configure alert rules and action groups to notify stakeholders when thresholds are exceeded.

The course then expands into application-level monitoring using Application Insights, availability tests, and Log Analytics. Learners discover how Application Insights captures telemetry such as requests, dependencies, failures, and performance data across Azure services. They also learn how to configure availability tests to monitor application uptime from multiple locations and how Log Analytics enables deep investigation of logs using Kusto Query Language. Hands-on labs reinforce how these tools work together to support diagnostics and root cause analysis.

In the final section, the course focuses on instrumentation and troubleshooting distributed applications. Learners enable monitoring on Azure web apps, examine live telemetry, and use Application Map to visualize service dependencies and identify performance bottlenecks or failure points. The course concludes with performance optimization concepts, helping learners understand when to apply techniques such as caching, throughput tuning, and resource optimization to improve application responsiveness and reliability.

By the end of the course, learners will be able to design monitoring strategies, diagnose issues across Azure services, and optimize application performance using Azure-native tools. The course emphasizes practical, real-world scenarios to ensure learners can confidently monitor and troubleshoot production Azure solutions.

Understanding Microsoft Azure Architecture and Services

Learn how to monitor, diagnose, and optimize Azure applications using Azure Monitor, Application Insights, and Log Analytics.

Monitor and Troubleshoot Azure Solutions

Logs from App Service, API, and database are unified in one view for end-to-end tracing.

A single KQL query correlates application requests, API responses, and database connections within a specific timeframe.

Engineers identify a pattern of database connection timeouts causing cascading failures in minutes.

Logs are stored in separate places across different Azure services

Engineers use multiple unique tools to investigate issues

Teams piece together what happened by checking logs in different locations one by one.

Log Analytics workspace capabilities

Monitor and Troubleshoot Azure Solutions

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