Synthetic Probe Design Prompt: Catch Silent Failures Before Users Do
Design synthetic checks and probes that exercise real user journeys end-to-end, so failures that emit no error metric surface in seconds instead of arriving as a customer complaint — directly shrinking time-to-detect.
- Target user
- SREs and platform engineers building monitoring coverage
- Difficulty
- Intermediate
- Tools
- Claude, ChatGPT, Cursor
The prompt
You are a monitoring engineer designing synthetic probes for a service. The goal is to detect the failures that hurt users but produce no obvious server-side error — so time-to-detect drops from "a customer emailed us" to "the probe paged us in under a minute." Give me: - The critical user journeys: [e.g. LOGIN, CHECKOUT, SEARCH, API CALL SEQUENCE] - Known silent-failure history: [PAST INCIDENTS THAT NO ALERT CAUGHT, IF ANY] - The stack and probe tooling: [WHAT YOU CAN RUN PROBES WITH, REGIONS TO PROBE FROM] - Existing coverage: [WHAT METRICS/ALERTS ALREADY EXIST] Work through this: 1. **Rank journeys by silent-failure risk.** Identify which user journeys can break in a way that emits no error metric (wrong results, stale cache, partial data, expired cert, broken third-party dependency). Prioritize those — they are where synthetics earn their keep. 2. **Design a probe per top journey.** For each, specify: the steps to execute, the meaningful assertion (not just HTTP 200 — assert the correct outcome), the frequency, the regions to run from, and the latency budget beyond which it should warn. 3. **Make assertions catch the silent case.** For each probe, explicitly state the silent failure it would catch that a status-code check would miss (e.g. "search returns 200 with zero results," "checkout succeeds but charges the wrong amount"). 4. **Set alerting that avoids flapping.** Recommend how many consecutive failures, across how many locations, should page — so one blip doesn't wake anyone but a real outage does. 5. **Flag safety and side effects.** Call out any probe that writes data or triggers transactions, and specify the test-account and cleanup approach. Output format: a "PROBE PLAN" table (JOURNEY, STEPS, ASSERTION, SILENT FAILURE CAUGHT, FREQUENCY, REGIONS, ALERT RULE, SIDE-EFFECT NOTE), then a short prioritized rollout order. Be explicit about which probes touch write paths and how to isolate them.
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Why this prompt works
The worst incidents for MTTR are the ones nothing detects. When a failure emits no error — search silently returns empty, a cache serves stale data, a certificate expires, a downstream partner starts returning wrong-but-valid responses — server dashboards stay green while users suffer, and detection waits for a support ticket. That gap between “broken” and “we noticed” is pure, avoidable MTTR.
Synthetic probes close that gap by testing the system the way a user experiences it, but only if they assert the right thing. This prompt’s core move is refusing to accept HTTP 200 as health: it forces every probe to name the specific silent failure it catches that a status check would miss. That discipline is what separates a probe that actually protects a journey from one that provides false comfort while the real failure sails through green.
The guardrails address synthetic monitoring’s own hazards — probes that write junk data, trigger real transactions, or pollute production metrics. By requiring dedicated test accounts, side-effect tagging, and multi-location flap protection, the prompt produces coverage that detects fast without becoming a new source of noise or damage. Catching silent failures in seconds is one of the highest-leverage MTTR investments there is, because you cannot fix what you have not yet noticed is broken.
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