Monitoring Java applications on Azure — PickAClass
⏱ 2h 48m 📚 28 lessons 🎧 Audio version

Monitoring Java applications on Azure

Learn how to track, diagnose, and optimize your Java applications on Azure using modern observability tools and structured logging practices.

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About this course

Running Java applications in the cloud requires deep visibility to ensure performance and reliability. Without the right monitoring strategy, diagnosing bottlenecks and system failures can feel like searching for a needle in a haystack. This text-based course guides you from the absolute basics of cloud monitoring to implementing comprehensive observability for your Java workloads on Azure. You will learn how to collect critical telemetry data, analyze application health, and proactively resolve issues before they affect your users. What you'll learn: - Understand core observability concepts, including metrics, logs, and distributed tracing. - Configure Application Insights to automatically collect telemetry from your Java services. - Implement modern OpenTelemetry standards for vendor-neutral monitoring instrumentation. - Analyze live application performance data and JVM metrics to detect memory leaks and bottlenecks. - Set up structured logging and distributed tracing to follow requests across microservices. - Create custom alerts to monitor system health and respond to incidents in real-time. You will begin with foundational terminology and core monitoring concepts before moving into step-by-step written guides on configuring Azure-native tools. Through practical text-based explanations and written configuration exercises, you will learn to instrument Java code, set up performance alerts, and interpret diagnostic data. This course is designed for beginner Java developers, system administrators, and cloud newcomers who want to learn application monitoring on Azure. No prior cloud monitoring experience is required. Start reading today to build reliable, observable Java applications in the cloud.

Course contents

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
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  • 🎧 Audio version included
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  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • ⚡ Short & focused
    2h 48m 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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PickAClass
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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Monitoring Java applications on Azure
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 Java applications on Azure
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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What do I need to take this course? +

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

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

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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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