AWS Developer: Application Observability and Troubleshooting — PickAClass
⏱ 2h 42m 📚 27 lessons 🎧 Audio version

AWS Developer: Application Observability and Troubleshooting

Learn to monitor, debug, and optimize your cloud applications using AWS CloudWatch, X-Ray, and modern observability practices.

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About this course

Building cloud applications is only half the battle; knowing how to monitor, debug, and optimize them in production is what separates beginners from professionals. This text-based course guides you through the essential AWS tools and modern observability practices needed to keep your applications running smoothly. Through clear, written explanations and practical configurations, you will transition from guessing why an error occurred to pinpointing issues in real time. You will master the fundamentals of cloud monitoring, structured logging, and distributed tracing to build highly resilient systems. What you'll learn: 1. Understand core observability concepts, including metrics, logs, and traces. 2. Configure AWS CloudWatch to collect, analyze, and alarm on critical application metrics. 3. Implement distributed tracing with AWS X-Ray to track requests across microservices. 4. Apply structured logging practices to make your application logs searchable and actionable. 5. Troubleshoot common cloud application failures and performance bottlenecks systematically. 6. Set up automated alerts to detect and resolve production issues before they impact users. The course begins with foundational definitions of cloud monitoring and observability before diving into step-by-step configuration guides. You will explore practical scenarios, learn how to read trace maps, and establish robust logging standards for modern cloud environments. This course is designed for beginner cloud developers, software engineers, and system administrators looking to build reliable AWS applications. No prior monitoring experience is required, though a basic understanding of cloud concepts is helpful. Start reading today to master AWS application monitoring and build production-ready cloud systems.

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
    No questions asked
  • Short & focused
    2h 42m 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
AWS Developer: Application Observability and Troubleshooting
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
AWS Developer: Application Observability and Troubleshooting
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.

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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