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Cloud Observability for AWS Operations

AWS workloads generate many signals, knowing what they mean, and which ones matter can be challenging. This course will teach you how to interpret observability signals and use them to evaluate workload health and support incident triage.

Beginner
1h 6m

Created by Pawan Puthran

Last Updated Nov 13, 2026

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  • Course

Cloud Observability for AWS Operations

AWS workloads generate many signals, knowing what they mean, and which ones matter can be challenging. This course will teach you how to interpret observability signals and use them to evaluate workload health and support incident triage.

Beginner
1h 6m

Created by Pawan Puthran

Last Updated Nov 13, 2026

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What you'll learn

When an AWS workload behaves unexpectedly, developers need to determine what is happening, understand the available evidence, and identify the next operational action. In this course, Cloud Observability for AWS Operations, you’ll gain the ability to use AWS observability signals to evaluate workload health and support incident triage. First, you’ll explore how to map workload health questions to metrics, logs, and other AWS observability signals and identify where AWS surfaces workload, dependency, change, and service health context. Next, you’ll discover how to interpret CloudWatch data and correlate observability signals to narrow the scope of an investigation. Finally, you’ll learn how to evaluate evidence for actionability and summarize workload conditions to guide the next operational action or escalation. When you’re finished with this course, you’ll have the skills and knowledge of AWS observability and workload monitoring needed to interpret telemetry, understand workload health, and support evidence-based incident triage.

Cloud Observability for AWS Operations
Beginner
1h 6m
Table of contents

About the author
Pawan Puthran - Pluralsight course - Cloud Observability for AWS Operations
Pawan Puthran
9 courses 0.0 author rating 0 ratings

Pawan Puthran is a Serverless Specialist at Amazon Web Services (AWS). He specializes in AWS Serverless technology like AWS Lambda, API Gateway, SQS, SNS & AWS AppSync. He has been an AWS user since 2015 and has architected and implemented many scalable backend systems running on AWS. He also holds an expertise on Serverless Observability, Operations and helps his customers, build highly scalable, reliable, cost-effective cloud based applications.

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