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Observability

Uptime & Synthetic Monitoring

Choose external probes and scripted checks for detecting whether public endpoints and critical journeys work.

Recommendation

Separate basic endpoint checks from incident-integrated and code-driven synthetics.

The right route depends on check depth, execution locations, workflow ownership, and whether checks belong in a broader telemetry suite.12

For: Application and reliability teams monitoring public endpoints, APIs, and critical user journeys

Main trade-off

External checks provide independent detection but do not diagnose internal causes; frequency, locations, retries, browser execution, and alert routing remain explicit choices.1234

Four external-check routes

Start with the minimum check depth that detects the failure users care about, then add locations, retries, and workflow integration deliberately.

  1. Check depth

    Separate HTTP and protocol reachability from API assertions, browser journeys, and private-location checks.13

  2. Detection design

    Set frequency, regions, retries, timeout, maintenance, and alert thresholds to control false positives and missed failures.12

  3. Workflow ownership

    Decide whether checks live in a UI, code repository, incident platform, or observability suite.23

  4. Cost and scale

    Model monitor count, run frequency, locations, browser minutes, seats, and incident or status add-ons.12

Uptime and synthetic routes

Use external checks for independent detection; continue into APM, logs, or infrastructure monitoring for diagnosis.

You need basic public endpoint checks

Evaluate UptimeRobot.

A simple monitor model fits small teams that need independent reachability and alerting.

Verify: Critical browser journeys, private locations, or deep incident integration point elsewhere.1

Checks must feed on-call and incidents

Evaluate Better Stack.

Monitoring, alerting, incidents, and status workflows can share one operations boundary.

Verify: Monitoring-as-code or deliberately decoupled incident tooling points elsewhere.2

API and browser checks belong in code

Evaluate Checkly.

Code-driven checks fit engineering teams that version and review synthetic behavior.

Verify: A no-code endpoint-only requirement does not justify the additional workflow.3

Grafana and k6 are already strategic

Evaluate Grafana Cloud.

Synthetic checks can join an existing open telemetry and Grafana operating model.

Verify: The suite's collectors, dashboards, and operating complexity must already be justified.4

Boundary: This Task owns external black-box detection. APM diagnoses instrumented requests, Infrastructure Monitoring owns resource metrics, and a public status page communicates incidents rather than detecting them.

What actually differs

Products differ more in check depth and operating workflow than in the existence of a green or red status.

Execution
Protocol, API, and browser checks have different fidelity, cost, and maintenance needs.12
Location and retry
Region coverage and retry policy shape both detection confidence and noise.12
Ownership
UI-managed, incident-integrated, code-reviewed, and suite-managed checks fit different teams.2
Handoff
Detection must route to responders and diagnostic telemetry without pretending the check explains root cause.12

Official resources

Verify current capabilities, collection boundaries, privacy controls, retention, and commercial terms in the official documentation before implementation.

Sources

Official product documentation supporting the decision routes and boundaries on this page.

  1. 1
    UptimeRobot website monitoring

    UptimeRobot · Accessed Official

  2. 2
    Better Stack uptime monitoring

    Better Stack · Accessed Official

  3. 3
    Checkly synthetic monitoring

    Checkly · Accessed Official

  4. 4
    Grafana Cloud Synthetic Monitoring

    Grafana Labs · Accessed Official