Monitoring Hybrid VMs, Containers, and Networks with Azure Monitor — PickAClass
⏱ 2h 36m 📚 26 lessons 🎧 Audio version

Monitoring Hybrid VMs, Containers, and Networks with Azure Monitor

Learn to configure, track, and optimize hybrid virtual machines, containerized workloads, and network performance using Azure Monitor.

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  • 🌐 In English
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About this course

Managing a mix of on-premises and cloud infrastructure requires a unified approach to keep systems running smoothly. This text-only course guides you through the essentials of monitoring hybrid virtual machines, containerized applications, and network resources using Azure Monitor. You will transition from understanding basic monitoring concepts to implementing real-world tracking strategies. By reading through clear explanations and structured examples, you will learn how to gather critical metrics, analyze system logs, and maintain complete visibility over your hybrid environment. What you'll learn: 1. Understand foundational monitoring concepts, metrics, logs, and modern observability principles. 2. Configure Azure Monitor agents on hybrid virtual machines to collect system health data. 3. Track containerized workloads and Kubernetes clusters across diverse environments. 4. Analyze network performance, connectivity, and traffic flow using diagnostic tools. 5. Create actionable alerts and automated responses to resolve issues before they impact users. 6. Query and analyze performance data using Kusto Query Language (KQL) basics. This course begins with core terminology and setup fundamentals, guiding you step-by-step through configuration and analysis techniques. It is designed for IT professionals, system administrators, and beginners eager to learn modern infrastructure monitoring, with no prior cloud experience required. Start reading today to build your hybrid monitoring skills.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • Short & focused
    2h 36m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Monitoring Hybrid VMs, Containers, and Networks with Azure Monitor
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
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PickAClass — Name Surname
Monitoring Hybrid VMs, Containers, and Networks with Azure Monitor
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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