AWS Lambda Logging: Writing and Reviewing Logs in CloudWatch — PickAClass
⏱ 2h 36m 📚 26 lessons

AWS Lambda Logging: Writing and Reviewing Logs in CloudWatch

Master serverless observability by configuring structured logs in AWS Lambda and querying execution data inside CloudWatch to quickly troubleshoot your web applications.

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About this course

Debugging serverless applications can feel like working in the dark without the right visibility. Understanding how to generate, format, and analyze execution logs is essential for maintaining healthy backend services. This written course guides you through the process of setting up robust logging for AWS Lambda functions and analyzing those logs inside CloudWatch. You will transition from guessing why an error occurred to pinpointing the exact line of code and execution state responsible. What you will learn: Understand the foundational principles of serverless logging and AWS CloudWatch architecture; Configure AWS Lambda functions to generate clear, structured JSON logs for easier querying; Navigate the CloudWatch console to locate log groups, log streams, and individual events; Apply log levels systematically to separate informational messages from critical application errors; Query logs efficiently using CloudWatch Logs Insights to filter and aggregate execution data; Implement basic error-handling patterns that write meaningful stack traces to your logs. The course begins with core serverless monitoring concepts before moving into practical code-based logging setups. You will read clear explanations and review clean code patterns to manage log retention and run queries. Designed for web developers transitioning into serverless development, this course requires no prior cloud administration experience. Start reading today to bring transparency and confidence to your serverless deployments.

Course contents

What you'll get

  • 📜 Certificate of completion
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  • 📱 Phone or computer
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  • ⚡ Short & focused
    2h 36m of practical content

Certificate of completion

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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%
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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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