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Cloud Observability for Azure Operations

This course will teach you how to interpret Azure telemetry signals to evaluate workload health, investigate issues using Azure Monitor, and support incident triage with actionable insights.

Beginner
1h 13m

Created by Eman Hassan

Last Updated Aug 21, 2026

Course Thumbnail
  • Course

Cloud Observability for Azure Operations

This course will teach you how to interpret Azure telemetry signals to evaluate workload health, investigate issues using Azure Monitor, and support incident triage with actionable insights.

Beginner
1h 13m

Created by Eman Hassan

Last Updated Aug 21, 2026

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What you'll learn

Cloud environments generate massive amounts of telemetry, but without the right approach, that data rarely translates into clear operational insight. In this course, Cloud Observability for Azure Operations, you’ll gain the ability to apply Azure observability tools and workflows to turn raw telemetry into actionable understanding for workload health, performance, and incident response. First, you’ll explore how to map real-world operational questions to the right observability signals and identify where Azure surfaces metrics, logs, resource health, dependency, and change context across services. Next, you’ll discover how to interpret Azure Monitor data in practice, using metrics, logs, and Application Insights to evaluate workload health, understand dependencies, and build meaningful dashboards that reflect real operational needs. Finally, you’ll learn how to use observability signals to support incident triage by narrowing investigations with dependency and change context, evaluating signal actionability, and summarizing evidence to guide operational decisions. When you’re finished with this course, you’ll have the skills and knowledge of observability needed to interpret Azure telemetry, investigate issues efficiently, and support incident response with clear, evidence-based insights that improve reliability and operational confidence.

Cloud Observability for Azure Operations
Beginner
1h 13m
Table of contents

About the author
Eman Hassan - Pluralsight course - Cloud Observability for Azure Operations
Eman Hassan
21 courses 0.0 author rating 0 ratings

Eman Hassan is the CTO of Aleoop, an AI-driven startup that leverages machine learning to capture real-time customer needs and align product, sales, and leadership teams. With over 13 years of experience in software engineering, cloud computing, cybersecurity best practices, data engineering, and DevOps, she brings deep technical expertise and strategic insight to every project. Passionate about AI, mentorship, and continuous learning, Eman helps developers master emerging technologies and deliver impactful, real-world solutions.

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