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AGENTCORE OBSERVABILITY

CHAPTER 19 / 36
IN ONE LINE a flight recorder for your agent
REV 2026.07

An agent makes its own decisions, so when something goes wrong you need to see exactly what it did, step by step. Observability records every step, which tools it called, what the model said, how long it took, how many tokens it used, and shows it in Amazon CloudWatch, like a flight recorder for your agent.

New to these words? Read chapter 02 "Key terms" (trace and span, session, token).
[ 1 ] WHAT IT IS

Observability lets you trace, debug, and monitor agents in production. AgentCore automatically records key numbers, model calls, token use, tool runs, latency, and errors, for Runtime, Memory, Gateway, Tools, and Identity, and stores them in Amazon CloudWatch. From there you can drill from a high-level problem down to the exact step that caused it.

THE PROBLEM IT SOLVES
Agents are unpredictable. Without a record, you cannot tell why one answered wrong or slowly.
WHERE IT LIVES
The GenAI Observability dashboard in Amazon CloudWatch. Built on OpenTelemetry (OTEL), the open standard.
[ 2 ] HOW THE RECORD IS ORGANIZED, ZOOM IN TO FIND A PROBLEM
LEVEL 1

SESSION

The whole conversation with a user (named by a session id).

ZOOM IN ==>
LEVEL 2

TRACE

One request inside it: a single question and its answer.

ZOOM IN ==>
LEVEL 3

SPAN

One step inside a trace: a single model call, or a single tool call.

You start at the problem, say a slow session, open its trace, and find the span that took too long.
[ 3 ] WHAT THE DASHBOARD SHOWS
AGENTS VIEW

All your agents, on or off AgentCore, with their metrics.

SESSIONS VIEW

Every conversation, to follow a user's journey.

TRACES VIEW

The step-by-step trajectory and timeline of one request.

DEFAULT METRICS

Tokens, latency, errors, tool calls, session count, captured for you.

[ 4 ] TWO WAYS TO TURN IT ON
RUNTIME-HOSTED automatic
Deploy with the AgentCore CLI and your agent is instrumented for you.
No extra libraries or code.
SELF-HOSTED add ADOT
For an agent running elsewhere, add the ADOT library and run with one command.
The same data flows to CloudWatch.
One-time setup per account: turn on CloudWatch Transaction Search so spans and traces appear (they land in the shared aws/spans log group, or in the agent's own log group in Regions with the unified span destination). It is OpenTelemetry, so you can also send the data to your own OTEL-compatible tools instead.
Plain definitions: chapter 02 "Key terms". Hands-on setup: chapter 20 "Observability, practical".
SRC: AWS AgentCore Developer Guide (observability get started, configure). DRAWN 2026.06, REV 2026.07.26
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AgentCore Observability, Practical
AWS AGENTCORE BLUEPRINTS · CONTENTS
Back to tocconsulting.fr Cover & Table of Contents
PART I · FOUNDATIONS
01AgentCore Overview, Plain LanguageCONCEPT02AgentCore, Key Terms in Plain LanguageCONCEPT03AgentCore, Common Mistakes ExplainedCONCEPT04Inside an AgentCore Agent, BlueprintCONCEPT05Harness, Practical 1, Strands PathPRACTICAL06Harness, Practical 2, Managed HarnessPRACTICAL
PART II · CORE SERVICES
07AgentCore Runtime, Plain LanguageCONCEPT08AgentCore Runtime, PracticalPRACTICAL09AgentCore Memory, Plain LanguageCONCEPT10AgentCore Memory, PracticalPRACTICAL11AgentCore Gateway, Plain LanguageCONCEPT12AgentCore Gateway, PracticalPRACTICAL13AgentCore Identity, Plain LanguageCONCEPT14AgentCore Identity, PracticalPRACTICAL
PART III · TOOLS AND OPERATIONS
15AgentCore Code Interpreter, Plain LanguageCONCEPT16AgentCore Code Interpreter, PracticalPRACTICAL17AgentCore Browser, Plain LanguageCONCEPT18AgentCore Browser, PracticalPRACTICAL19AgentCore Observability, Plain LanguageCONCEPT20AgentCore Observability, PracticalPRACTICAL21AgentCore Evaluations, Plain LanguageCONCEPT22AgentCore Evaluations, PracticalPRACTICAL
PART IV · GOVERNANCE AND TRANSACTIONS
23AgentCore Policy, Plain LanguageCONCEPT24AgentCore Policy, PracticalPRACTICAL25AgentCore Registry, Plain LanguageCONCEPT26AgentCore Registry, PracticalPRACTICAL27AgentCore Payments, Plain LanguageCONCEPT28AgentCore Payments, PracticalPRACTICAL
PART V · MULTI-AGENT AND ARCHITECTURE
29A2A and Multi-Agent, Plain LanguageCONCEPT30A2A and Multi-Agent, PracticalPRACTICAL31Architecture Patterns, Plain LanguageCONCEPT32Multi-Tenant Agents, Plain LanguageCONCEPT33Agent Security and Threat Model, Plain LanguageCONCEPT34Governance at Org Scale, Plain LanguageCONCEPT35Governance at Org Scale, PracticalPRACTICAL36Multi-Region and Distribution, Plain LanguageCONCEPT