Elastic Observability builds logs, metrics and APM on the Elastic Stack, with machine-learning anomaly detection on top. If you want governed autonomous action rather than search plus ML detection, here is an honest comparison with Ops Singularity.
Elastic Observability is a strong, search-centric platform: logs, metrics and APM on the Elastic Stack, with built-in machine-learning jobs for anomaly detection and alerting. For teams that value owning a powerful data and search platform, it is compelling. Teams look for an alternative when they want the system to act on the anomalies it finds, under governance, rather than surface them for a human. Elastic's ML tells you something is anomalous and alerts; deciding what to do and doing it safely across the estate remains manual, which is exactly where the evaluation shifts to autonomous resolution.
| Dimension | Elastic | Ops Singularity |
|---|---|---|
| Primary focus | Search-centric logs, metrics and APM with ML anomaly detection | Autonomous, governed resolution across ten operational domains |
| Detection vs resolution | ML surfaces anomalies and alerts; an engineer decides and fixes | Closes the loop: ProcBot executes the fix, Sherlock validates it |
| Governance of actions | Alerting and detection; remediation is manual | Every action is a reversible, audited Action Ticket with approval gates |
| Operational breadth | Observability data platform (logs, metrics, traces) | Ten pillars including security, cost, process and the managed estate |
| Deployment | Self-managed or Elastic Cloud | SaaS, on-premises or fully air-gapped |
| Best for | Owning a search and observability data platform with ML detection | Enterprises wanting anomalies resolved autonomously, under governance |
Elastic is the better choice if you want a search-centric, self-manageable observability stack with strong log analytics and built-in ML anomaly detection, and you value owning the underlying data platform.
Sentinel AI runs the Observe, Investigate, Act, Optimize loop and executes the fix through ProcBot, so many incidents never need a human at all.
Actions run as reversible, audited Action Tickets with approval gates, so autonomy is something an auditor or a change board can accept.
One intelligence layer across telemetry, service, infrastructure, security, data, cost, process, DevSecOps and the managed estate, deployable on-premises or fully air-gapped.
Not necessarily. Many teams keep Elastic for what it does well and add Ops Singularity to resolve incidents autonomously, feeding context and updates back through Integration Connectors. One tells you what is wrong; the other fixes it under governance.
Autonomous execution of the fix through governed, reversible Action Tickets, validation via Sherlock, and breadth across ten operational domains, so fewer incidents reach a human in the first place.
Yes. Ops Singularity ingests OpenTelemetry natively, so teams can keep Elastic as a data platform and add Ops Singularity for governed autonomous resolution on top.
Bring a real incident. We will show you Sentinel investigate, act and verify end to end, with every action reversible and audited.