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WHY OBSERVABILITY MATTERS
Part 10 of 10
KEY TERMS REVIEW
Observability: understanding internal behavior from outside signals.
Input-output logging: recording only the request and the final answer.
Root cause: the underlying reason a failure happened.
Stale cache: stored data that is out of date.
CHECK YOUR UNDERSTANDING
• What is observability?
◦ Answer: The ability to understand a system's internal behavior from the signals it sends outward.
• Why is input-output logging not enough for agents?
◦ Answer: It hides the many intermediate tool calls and reasoning steps.
• How can observability prevent wasted effort?
◦ Answer: It reveals the real cause, such as a stale cache, so the right fix is applied.
• How do failure patterns help?
◦ Answer: They point to the one problem whose fix helps the most runs.
• What three basic kinds of signals make up observability data?
◦ Answer: Logs, metrics, and traces, which answer what happened, how much and how often, and why a particular run went as it did.
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