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Monitor and Troubleshoot Azure Solutions

IntermediateSkill Level
4.6+
44 reviews
Updated 04/2026
Learn how to monitor, diagnose, and optimize Azure applications using Azure Monitor, Application Insights, and Log Analytics.
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AzureCloud3 hr9 videos36 Exercises2,550 XPStatement of Accomplishment

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Course Description

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.

Prerequisites

Understanding Microsoft Azure Architecture and Services
1

Azure Monitor Fundamentals

Learn the core building blocks of monitoring in Azure, including metrics, logs, dashboards, and alerts, to gain visibility into resource health and behavior.
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2

Application Insights, Availability Tests and Log Analytics

3

Instrumentation and troubleshooting

Monitor and Troubleshoot Azure Solutions
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*4.6
from 44 reviews
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  • Laurence
    18 hours ago

  • Rajashekar Reddy
    3 days ago

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  • George Iulian
    2 weeks ago

Laurence

Rajashekar Reddy

Aniko

FAQs

What Azure monitoring tools does this course teach?

You will learn Azure Monitor for metrics and dashboards, Application Insights for telemetry, Log Analytics with Kusto Query Language, and Application Map for visualizing service dependencies.

Will I learn to set up alerts for Azure resources?

Yes. You will configure alert rules and action groups to notify stakeholders when performance thresholds are exceeded, enabling proactive issue response.

What is Kusto Query Language and how is it used here?

Kusto Query Language is used in Log Analytics to investigate logs and perform deep diagnostics. You will write queries to support root cause analysis of application issues.

Does the course cover performance optimization?

Yes. The final chapter covers optimization concepts including caching, throughput tuning, and resource optimization to improve application responsiveness and reliability.

How long does this course take to complete?

The course has 3 chapters with 37 exercises and is estimated at 180 minutes. Most learners complete it in about 1 to 1.5 hours based on median completion times.

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