Observability
Monitoring, tracing, logging, and incident-response signals that show how teams operate production.
- Datadog
- New Relic
- Grafana
- Prometheus
- PagerDuty
- Sentry
Real observability evidence, as the report renders it
Top-confidence claims from our public Bentley Systems sample profile — same renderer, same provenance badges customers see. Practitioner names are anonymized in the public sample.
Evidence
| Vendor | Product | Deployment scope | Conf. | Source | Date |
|---|---|---|---|---|---|
GGrafana Labs | Grafana | System health, performance, and SLO dashboards and alerting across Kubernetes clusters and Azure SQL resources; attested by two independent current SRE practitioners | Practitioner-Attestedstacked-practitioner-attestationSam Castellanos + Reese Demir – SREs at Bentley Systems (LinkedIn) | 2026-05-19 |
Evidence methodology
- A current or recent employee named this vendor in their LinkedIn work-history snippet — first-person disclosure, strongest non-deterministic signal.
What the sample could not confirm
- APM tooling (Datadog, New Relic, Dynatrace) unconfirmed despite cloud-native SaaS scale.
- Log management and distributed tracing (Elastic/ELK, OpenTelemetry) entirely unconfirmed.
How this shows up in a profile
Every profile organizes vendor mentions, practitioner evidence, confidence, and source links by domain so account teams can move from broad hypothesis to call-ready context.