Buying Synthetic Monitoring

Buyer's guide.

Overview

Synthetic monitoring runs scripted user journeys against production from external locations on a schedule. It catches the cases real-user monitoring misses (low-traffic flows, off-hours regressions, third-party outages) and gives sales a status-page artefact when customers ask "is it really up." The buying decision turns on location coverage, scripting model, and how cleanly synthetic checks integrate with paging.

• Location coverage. Multiple regions per continent, plus mobile and ISP variants if you serve those audiences. Single-region synthetics miss regional outages.
• Scripting model. Recorder-based for marketing pages, Playwright/Selenium-based for real flows. Vendors that lock you into a proprietary recorder become migration tax.
• Frequency and quota. One-minute checks across N locations multiplies fast; the bill axis is checks-per-month, not number of journeys.
• Per-team operational fit. Alert routing into your paging tool, integration with the observability stack, and a status page that the rest of the company trusts.

The approach

Trial against your real top-10 user journeys from your real audience locations. Vendor reference checks use the homepage; your customers use the checkout flow.

• Top-10 journey inventory. List the customer flows whose failure would page; codify them as scripts on each vendor.
• Geographic baseline. Map your customer geography to vendor location coverage; gaps become silent regressions you will not see.
• Total cost of ownership model. Add checks-per-month, locations, advanced scripting, and seat licences across a 12-month projection.
• Document the choice and the exit ramp. Capture rationale and how scripts would migrate if you switched.

Why this compounds

The right synthetic platform keeps paying back: regressions get caught before customers notice, status pages tell the truth, and on-call gets paged for the right reasons.

• Uptime visibility. Honest synthetic data beats internal dashboards when explaining outages to customers.
• Reduced incident severity. Catching regressions in low-traffic windows means fixes ship before peak hours.
• Sales artefact. A consistent uptime track record measured by an external vendor closes more deals than internal claims.
• Decision trail for the next renewal. The trial data becomes the renewal scorecard, not a cold start.