Monitoring & Reliability
AI AutomationModule 06

Monitoring & Reliability

Logging, alerting, and testing automated flows.

Module Overview

Observability for automations: logging, alerting, KPIs, postmortems, and incremental improvement cycles. Students learn what to monitor and how to respond to incidents.

Learning Objectives

  • Identify key metrics to observe (success rate, processing latency, error types).
  • Implement basic logging and alerting for automation flows.
  • Run a structured postmortem and produce a remediation plan.

Lesson-by-Lesson Breakdown

1

Defining SLAs and SLOs suitable for student projects.

2

Instrumentation: logs, structured events, and trace IDs.

3

Alerts: thresholds and notification routing.

4

Postmortem framework and root-cause analysis basics.

5

Continuous improvement: metrics-driven changes and small experiments.

Hands-on Activities & Deliverables

Activities

Instrument a demo flow with logs & error alerts; simulate an incident and produce a postmortem.

📦 Deliverable

Logs sample, alert config, and postmortem document.

Required Tools & Readings

Logging format guides and postmortem templates.

Assessment & Rubric

  • Instrumentation completeness40%
  • Quality of postmortem40%
  • Improvement plan feasibility20%

Prerequisites

Prior modules recommended.

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Parent-Friendly Value

Ensures automations are not only built but also observed and maintained — reducing surprises.

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