- 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.
- 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.
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This course is included in the libraries shown below:
- Cloud
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.