GAPro
Tracks Core Web Vitals and technical quality signals per crawl
Evidence source: Monitoring and analytics API surfaces
Monitoring & Alerting
Run performance monitoring and alert operations with clear threshold policy, queue visibility and SLO-oriented reporting.
What this solves
Gives teams a shared operational surface to detect degradations early and respond with consistent triage steps.
Who is this for
- •Engineering managers responsible for reliability metrics
- •SRE and platform teams owning alert policies
- •Product and operations stakeholders tracking service health
Prerequisites
- •Threshold policy defined for key metrics
- •Alert recipients and channels configured
- •Queue ownership model documented by team
Step-by-step
1. Define service-critical metrics
Select key vitals and quality signals that correlate with customer-impacting regressions.
2. Set thresholds and escalation rules
Configure pass, warning and incident thresholds with clear escalation expectations.
3. Review SLO and queue snapshots
Track critical endpoint latency and queue lag trends to prevent backlog-driven incidents.
4. Close alert loop
Document incident response and policy updates after each major signal breach.
Operational outputs
- •Vitals trend reports with threshold status
- •SLO snapshot summaries for critical surfaces
- •Queue depth and lag visibility for operations
Plan availability
- •Core metric tracking is available broadly
- •SLO and advanced operational views are enterprise-oriented
- •Retention depth and observability controls follow plan limits
Related capabilities
BetaEnterprise
Provides SLO snapshots for API critical and WA-heavy paths
Evidence source: Admin perf SLO endpoint
BetaEnterprise
Includes queue saturation and policy-driven autoscale visibility
Evidence source: Queue policy + autoscale monitor outputs
Limits and guardrails
- •Alert policy must map to on-call ownership
- •Do not set threshold noise too low for high-change pages
- •Validate queue policy before raising scan cadence
Expected outcome
- •Teams detect degradations before customer escalation
- •Alert triage becomes repeatable and measurable
- •Operational reporting aligns engineering and product leadership
Troubleshooting paths
- •If alert volume spikes, revisit thresholds and grouping policy
- •If queue lag rises, tune worker concurrency and task mix
- •If SLO status is unclear, validate sample size and window definitions
Certainty scorecard
monitoringSample size: 0Organizations: 0insufficient_data
Not enough evidence yet to show a reliable certainty score.
Proof
Performance Monitoring: Example SLO payload
{
"status": {
"api_critical": "pass",
"wa_heavy": "pass",
"crawl_queue_lag": "insufficient_data"
},
"observations": {
"api_critical_p95_ms": 210,
"wa_heavy_p95_ms": 950,
"crawl_queue_depth": 4
}
}Escalation
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