Production Testing & Observability

Design a synthetic monitoring strategy for production using [k6 Cloud / Grafana Synthetic / Catchpoint]:

Critical user journeys to monitor:
1. [Journey 1]: [description]
2. [Journey 2]: [description]

Requirements:
- Frequency: every [N] minutes
- From locations: [list regions]
- Alerting: page on-call if p95 > [N]ms or error for > [N] consecutive runs

Provide:
- Script structure for each journey
- Alert configuration logic
- How to distinguish synthetic failures from real user impact
- Runbook: What to do when synthetic alert fires

Explain how to implement shadow load testing for my production system:

Architecture: [describe: microservices / monolith / API gateway / etc.]

Cover:
- What shadow load testing is and when to use it
- Tools: Shadowtraffic, Goreplay, Istio traffic mirroring, AWS Global Accelerator
- How to mirror [N]% of production traffic to staging
- Ensuring shadow requests don't pollute production data
- Monitoring shadow environment during traffic replay
- Interpreting results when shadow latency differs from production
- Risk management and rollback strategy