Why Teams Pick OpsPilot over “AI‑Native” Observability
OpsPilot vs. “AI-Native” Observability: What’s the Real Difference?
The observability market is saturated with “AI-native” claims, but not all AI approaches are created equal. Some platforms lock you into proprietary data pipelines with black-box intelligence you can’t verify. Others provide open, transparent reasoning that shows its work.
OpsPilot takes the second path: open standards + AI reasoning. We built our intelligence layer on top of OpenTelemetry and Grafana—technologies you already trust—rather than creating yet another proprietary data silo. Our AI doesn’t just detect anomalies; it reasons about causality, analyzes your code, and provides prioritized action plans you can verify.
Here’s how OpsPilot’s approach compares to typical “AI-native” platforms across the dimensions that matter most to engineering teams:
| Area | OpsPilot (Open + Reasoning) | "AI-Native" Platforms |
|---|---|---|
| Ingest & Pipelines | OpenTelemetry in; Grafana Alloy wrapper for collection; easy to self-host or use FR Cloud. Learn more | Typically proprietary data path; migration/exit cost higher. |
| Dashboards | Grafana-centric; OpsPilot reads panels and proposes next steps. | Dashboards often proprietary; AI summarizes but may not prescribe. |
| Depth of Guidance | Reasoning across telemetry, code, and docs, with prioritized actions (HIGH/MED/LOW; Immediate→Ongoing). | Often alert or summary-first; actioning varies. |
| JVM Focus | JVM heap & non-heap (metaspace) diagnostics and fixes out-of-the-box. | JVM detail varies; non-heap guidance uncommon. |
| Workflow | Native Slack/Teams/Jira flows (create/share tickets, summaries). Learn more | Varies by vendor. |
| Proof / History | OpsPilot announced May 18, 2023; continuous releases since 2023. View announcement | Some now claim "first"; funding press as primary proof. Dash0.com |
We applaud innovation across the space; this page helps buyers pick the right architecture
