CloudWatch Transaction Search must be enabled before Amazon Bedrock AgentCore spans and traces become searchable, and first-time users may need to wait about ten minutes for those spans to appear.
That requirement should shape your observability rollout: prove the telemetry path before relying on it during an investigation.
Separate confirmed behavior from proposed defaults
Do not design around a platform default until you have verified it.
AWS documentation does not currently guarantee dedicated, per-agent log groups for all new AgentCore agents. Check the AgentCore release notes for explicit release-level confirmation, then compare them with the configuration visible in the target environment.
Dedicated isolation can narrow the debugging boundary and make telemetry ownership clearer. Neither benefit is dependable if the team merely assumes the isolation was created.
If separate groups are part of your operating model, verify or configure them explicitly. Record what the deployment produced instead of treating an uncited behavior as a contract.
Verify both telemetry destinations
AWS documents separate destinations for agent runtime logs and trace spans. Seeing runtime messages therefore does not prove that a workflow's traces are available for search.
Create a deployment verification artifact that records the evidence an operator will need later:
- Capture the actual destination used for agent runtime logs.
- Capture the destination configured for trace spans.
- Confirm that CloudWatch Transaction Search has been enabled for first-time use.
- Allow for the documented delay of about ten minutes before judging span searchability.
- Run a known workflow and verify that its resulting trace can be found.
- Record the owner responsible for resolving any gap before production use.
Use this AWS CLI command to check the CloudWatch log group name and ARN against the prefix shown in your deployment configuration:
aws logs describe-log-groups --log-group-name-prefix '<prefix-from-deployment-configuration>' --query 'logGroups[].{LogGroup:logGroupName,ARN:arn}' --output table
Record the returned log group name and ARN in the deployment verification artifact. This turns an environment assumption into evidence that can travel with the deployment record and give the next investigator a known starting point.
Debug the workflow, not only the answer
An autonomous workflow may plan, choose a tool, retry an action, call another service, or pause for human review. A final response alone cannot show which stage produced the wrong outcome.
Start by mapping workflow states, tool permissions, review gates, and recovery paths. Pair that map with the AWS CLI check above so the deployment record contains the concrete runtime log destination rather than only a proposed architecture.
The useful unit of investigation is the path the agent took. Review runtime logs alongside trace spans when reconstructing that path. Because AWS documents different destinations for those signals, both paths deserve an explicit check.
Use per-agent boundaries without losing fleet visibility
Per-agent isolation can narrow where a team looks and clarify which owner should respond. The tradeoff appears when the same organization needs to reason across many agents.
Fleet-wide queries and policies do not emerge automatically from isolated telemetry. Teams still need a deliberate design for cross-agent investigation, retention, sampling, failure alerts, and escalation rules.
A boundary that helps one owner can leave the fleet harder to govern if no shared operating layer exists. Design local ownership and fleet oversight together rather than treating them as competing choices.
Make trace-based SLOs operational
AgentCore telemetry can provide evidence, but trace-based SLOs remain the operator's responsibility. The same is true for failure alerts, retention, sampling, and escalation.
Build the SLO framework around the workflow states that matter. Decide which trace evidence demonstrates successful progress, which failures should alert an owner, what telemetry must be retained, how sampling will be governed, and when an investigation escalates.
Per-agent separation can make a single workflow easier to inspect, while the policies needed to keep many workflows consistent require additional design. AgentCore supplies observability mechanisms; it does not supply the team's operating decisions.
Ship evidence with the deployment
A production-ready observability package should include an architecture, a deployment verification artifact, investigation patterns, an SLO framework, and a production checklist. Together, those outputs connect configuration with the way people will investigate and govern the workflow.
Keep the release gate concrete. Check the actual log and span destinations. Enable Transaction Search. Wait for a known span to become searchable. If dedicated per-agent groups are required, verify them against configuration and authoritative release documentation.
Which proof do you require before promoting an AgentCore workflow: confirmed destinations, a searchable known trace, or both?
📖 Read the full guide → Amazon Bedrock AgentCore Observability: Per-Agent Logs and Traces
Top comments (0)