Monitoring, Logging, Analysis, Remediation, and Performance Optimization
Metric-Led Diagnosis, Event Routing, and Safe Automated Remediation
CoreMove from measured symptoms to a bounded corrective action by matching and enriching events and executing controlled Systems Manager Automation runbooks.
Aligned to AWS Certified CloudOps Engineer - Associate (SOA-C03) Version 1.1, verified August 24, 2026.
Why this matters
Fast remediation is useful only when the evidence, trigger, permissions, failure controls, and verification all point to the same known condition. Automation that acts broadly can turn a small incident into a larger one.
Must Know
- Correlate the saturated resource with workload and dependency evidence before changing capacity or configuration; one alert is not a diagnosis.
- EventBridge rules match the actual event envelope on the selected bus. A correct source name does not compensate for the wrong detail structure, bus, target, or target permissions.
- Input transformation can reshape selected event fields for a target; target invocation and the target execution role remain separate authorization boundaries.
- Systems Manager Automation runbooks define ordered steps, inputs, branching, outputs, an assume role, and failure behavior. AWS-managed runbooks still require suitable parameters and permissions.
- Automatic remediation should be idempotent, least-privileged, concurrency-limited, error-limited, observable, and followed by a verification signal.
- Kiro and AWS DevOps Agent can contribute task-bounded analysis or recommendations, but telemetry and approved scoped controls remain the operational authority.
Compare and Distinguish
- EventBridge selects, transforms, and routes events; SNS fans publications to subscribers; SQS buffers work; Automation executes an operational procedure.
- A predefined runbook packages a maintained procedure; a custom runbook encodes organization-specific checks and actions.
- A trigger decides when to start; a runbook decides what ordered work to perform.
- Agent-assisted evidence accelerates analysis; it does not remove approval, permission, rollback, or audit boundaries.
Scenario examples
- Scenario: Events arrive on a bus but never invoke the target. Capture one real event and compare its complete envelope with the rule, bus, target, and permissions.
- Scenario: A recurring disk condition has an approved cleanup procedure. Trigger a scoped Automation execution with concurrency/error limits, idempotent steps, and a post-action metric check.
- Scenario: An agent proposes a broad change after an incident. Validate the cited signals and narrow the action to the approved resource and role before execution.
Exam traps
- Do not widen target permissions before proving the EventBridge rule matched.
- Do not equate successful API invocation with successful remediation.
- Do not retry a non-idempotent action indefinitely.
- Do not treat an AI-generated causal narrative as stronger evidence than the underlying metrics, events, and logs.
Key takeaways
- Measure and localize before acting.
- Separate event matching, transformation, delivery, and execution permissions.
- Put safety and verification inside the automation contract.
- Keep new agent tooling inside existing operational controls.
How it works
- Capture the measured symptom and one representative event at the affected resource scope.
- Validate rule matching, transformation, target delivery, and runbook permissions as distinct checkpoints.
- Run the approved bounded action and confirm recovery through telemetry produced by the workload.
When to use it
- Route and transform matching events with EventBridge, fan out published messages with Amazon SNS, buffer asynchronous work with Amazon SQS, and execute the approved procedure with Systems Manager Automation.
- Choose a predefined runbook for a maintained standard procedure; author a custom runbook when organization-specific checks and actions are required.
- Put event timing and selection in the trigger, and put the ordered remediation steps in the runbook.
- Use agent-assisted analysis to accelerate evidence review while keeping approvals, permissions, rollback controls, and audit records under the established operational process.
Security and governance implications
- Limit the EventBridge invocation path and Automation assume role to the actions and resources required by the runbook.
- Retain event, execution-step, and output evidence so automated changes remain reviewable and attributable.
Failure signals and diagnosis
- Inspect the real event JSON before editing an event pattern.
- Use Automation execution steps and outputs to locate the first failed operation.
- Confirm the postcondition through independent telemetry rather than the runbook completion status alone.
More detail
- Read the complete event envelope, including its bus and detail structure, before editing a rule or transformation.
- Keep EventBridge target authorization separate from the execution role used by the target or Automation runbook.
- Design remediation around stable inputs, idempotent steps, bounded parallelism, terminal failure, and a postcondition.
Ready for the quiz?
- An EventBridge-triggered runbook did not remediate an incident. Which evidence separates a rule-matching failure from target invocation or runbook execution failure?
- When does a maintained predefined runbook fit better than a custom runbook with organization-specific steps?
- Which evidence separates an EventBridge pattern miss, a target-invocation denial, and a failed Automation step?
Related objectives
- D1.2 — Task 1.2: Identify and remediate issues by using monitoring and availability metrics.
- 1.2.1 — Analyze performance metrics and automate remediation strategies by using AWS services and functionality (for example, CloudWatch, Lambda, AWS Systems Manager, CloudTrail, Kiro, AWS DevOps Agent).
- 1.2.2 — Use EventBridge to route, enrich, and deliver events, and troubleshoot any issues with event bus rules.
- 1.2.3 — Create or run custom and predefined Systems Manager Automation runbooks (for example, by using AWS SDKs or custom scripts) to automate tasks and streamline processes on AWS.